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Overview As a Data & AI professional at Accenture, you help clients design and operate data and analytics solutions on cloud platforms, delivering scalable, production-grade data pipelines and AI use cases. You will collaborate with cross-functional teams to turn data into actionable insights, contributing to advanced analytics and MLOps practices. This hybrid Barcelona role sits at the heart of our Data & AI ecosystem, enabling work across global reference clients and diverse industries. You will shape end-to-end data-driven solutions with a focus on impact, speed, and scalable engineering. Compensaciones / Beneficios • Medical, life, and accident insurance, • Medical services and wellbeing programs, • Flexible compensation program and employee share purchase plan, • Flexibility programs (working hours, days off, vacation options), • Individualized learning and development path, • Diversity networks Responsabilidades, • Define and implement data and AI architectures aligned with business needs and technical standards, • Deliver end-to-end data and analytics solutions from ingestion to analytics consumption and deployment, • Advance best practices in Data Engineering, Analytics, MLOps, and LLMOps, • Contribute to global technical communities and innovation initiatives within Data & AI, • Collaborate with multidisciplinary teams to deliver scalable, production-ready solutions Requisitos principales, • Minimum 3 years of professional experience in Data, Analytics, ML, or AI projects, • Minimum 3 years in cloud/data platforms or data processing technologies (AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Synapse), • Experience with Spark, Kafka, Airflow, dbt, or Delta Lake, • Experience with BI tools (Power BI, Tableau, Looker), • Production environments and enterprise-scale project experience, • Residence in Spain and legal authorization to work in Spain, • Collaborative teamwork across diverse functions, • Strong communication and stakeholder management, • Proactivity in learning and driving innovations, • AWS, Azure, or GCP; Databricks; Snowflake; BigQuery; Synapse, • Spark; Kafka; Airflow; dbt; Delta Lake, • Power BI; Tableau; Looker

Overview As a Data & AI professional at Accenture, you help clients design and operate data and analytics solutions on cloud platforms, delivering scalable, production-grade data pipelines and AI use cases. You will collaborate with cross-functional teams to turn data into actionable insights, contributing to advanced analytics and MLOps practices. This hybrid Barcelona role sits at the heart of our Data & AI ecosystem, enabling work across global reference clients and diverse industries. You will shape end-to-end data-driven solutions with a focus on impact, speed, and scalable engineering. Compensaciones / Beneficios • Medical, life, and accident insurance, • Medical services and wellbeing programs, • Flexible compensation program and employee share purchase plan, • Flexibility programs (working hours, days off, vacation options), • Individualized learning and development path, • Diversity networks Responsabilidades, • Define and implement data and AI architectures aligned with business needs and technical standards, • Deliver end-to-end data and analytics solutions from ingestion to analytics consumption and deployment, • Advance best practices in Data Engineering, Analytics, MLOps, and LLMOps, • Contribute to global technical communities and innovation initiatives within Data & AI, • Collaborate with multidisciplinary teams to deliver scalable, production-ready solutions Requisitos principales, • Minimum 3 years of professional experience in Data, Analytics, ML, or AI projects, • Minimum 3 years in cloud/data platforms or data processing technologies (AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Synapse), • Experience with Spark, Kafka, Airflow, dbt, or Delta Lake, • Experience with BI tools (Power BI, Tableau, Looker), • Production environments and enterprise-scale project experience, • Residence in Spain and legal authorization to work in Spain, • Collaborative teamwork across diverse functions, • Strong communication and stakeholder management, • Proactivity in learning and driving innovations, • AWS, Azure, or GCP; Databricks; Snowflake; BigQuery; Synapse, • Spark; Kafka; Airflow; dbt; Delta Lake, • Power BI; Tableau; Looker

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font-family: LindeDax, Arial, Helvetica Neue, Helvetica, sans-serif !important; font-size: 14px !important; } td.content-left > p, td.content-right > p, td.content-left > ul, td.content-right > ul, td.content-left > li, td.content-right > li { line-height: normal !important; } td.content-left > ul { padding-bottom: 0 !important; padding-top: 0!important; } img.footer-logo { width: 20%; max-width: 200px !important; } /* END LINDE STYLING CODE */ Linde Saude, LDASenior Data Lead (m/f/d)Lisbon or Porto, Portugal or Barcelona, Spain | req27860What you will enjoy doingYou will own the Data Governance and Data Process framework for Homecare Europe, including definition, implementation, and continuous operational management of the Data Platform, ensuring long‑term reliability, compliance, and business continuity across multiple countriesAlso you will lead the execution of multi‑year Data & AI transformation roadmap for Homecare RSW, overseeing prioritization, architecture evolution, and execution across multiple countriesAdditionally you will act as the RSW authority for Data & AI architecture, defining standards adopted across Homecare RSW and influencing global architectural decisionsFurthermore you will drive cross‑functional governance and represent Data & AI in RSW steering committees, ensuring alignment of data strategy with regulatory, clinical, and operational requirementsMoreover you will define the target lakehouse architecture and phased roadmap for onboarding priority sources and delivering governed data products (Databricks-first)You will build initial ingestion and transformation pipelines in Databricks using Python/PySpark and SQL (Delta Lake), including incremental loads, backfills, and performance tuningYou will be able to implement governance and security with Unity Catalog (catalogs/schemas, access controls, lineage) and define PII handling aligned with GDPR and internal policiesEstablish data modeling standards and KPI/semantic layer definitions; deliver curated datasets for Power BI and downstream applications/APIs, including guidance on when to use lakehouse/OLAP versus OLTP, NoSQL and key-value storesIn addition, you will set engineering standards for CI/CD, testing, monitoring, and runbooks; provide knowledge transfer and handover to internal teamsYou will actively participate in digitalization and task automation process, contributing to the companys evolution towards digital transformationWhat makes you greatYou have 8+ years in data architecture and data engineering delivering enterprise platformsYou have a Master’s degree in Data Science, Computer Engineering, Applied Mathematics, informatics, engineer or a related quantitative or technical field You have 3+ years hands-on Databricks/Spark/Delta in production (lakehouse patterns)You will be able to establishing governance and access controls (Unity Catalog preferred) and handling sensitive/regulated data; familiarity with HL7 v2 / FHIR is a plusYou are experienced in integrating data from Azure-hosted applications and Microsoft SQL; external providers/IoT data is a plusYou have experience leading multi‑country data or digital transformation programs, ideally in a regulated industryYou have demonstrated responsibility for budgets and for managing multidisciplinary teams (direct and indirect)You speak english, you have additional proficiency in French, Portuguese, Spanish and/or German is a plusAre you ready to face new challenges and actively contribute to the success of the company's digital transformation projectYou are able to collect, interpret and use data effectively, driving digital transformationWhy you will love working with usAt Linde we identify ourselves with our products – either working for the technical or medical gases business. Being a company with a long tradition in the gases business, we not only care about our customers and high quality products, but most importantly about our employees. While working with us, expect a safe workplace, high safety standards and a true commitment from our managers to safety. What we offer you!At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.This role is a full time position based on an unlimited contract. The standard weekly working hours will be from 08:00 hrs till 17:00 hrs.Have we inspired you? Lets talk about itWe are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market.Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only.Linde acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.

Overview In this role you will own and evolve Zurich’s Databricks platform to support the Global Finance Data Hub, ensuring scalable, secure, and cost-conscious data solutions. You will build and maintain ingestion and processing pipelines, govern data with Unity Catalog, and implement CI/CD and IaC practices in a collaborative, tech-driven environment. You’ll work with cross-functional teams to deliver a robust enterprise data platform that accelerates Zurich’s data strategy and operational efficiency. This is a chance to shape a world-class data foundation within a global insurer. Compensaciones / Beneficios • flexible working model, • abroad up to 25 days yearly, • home office allowance, • wide trainings including language classes, • health insurance, • life and retirement plans Responsabilidades, • Own and evolve the Databricks platform underpinning the Global Finance Data Hub with focus on scalability, reliability, security, and cost efficiency, • Design, build, and maintain data ingestion frameworks for batch, streaming, API, and CDC across multiple sources, • Develop and manage Delta Live Tables pipelines with data quality, schema enforcement, and CDC, • Administer and optimize Delta Lake environments (performance, schema evolution, time travel, VACUUM, OPTIMIZE), • Implement Unity Catalog governance (access controls, lineage, classification, namespaces), • Build, deploy, and support Databricks Workflows for complex pipelines and event-driven processing, • Establish CI/CD pipelines using Git and Databricks Asset Bundles across dev/test/prod, • Collaborate with cloud/infrastructure teams on IaC using CloudFormation or CDK, • Manage authentication/authorization (IAM roles, profiles, service principals, secrets), • Monitor platform health and costs with Databricks system tables, CloudWatch, Grafana, • Define cluster policies, compute strategies, and DBU governance for optimization, • Ensure security (PrivateLink, VPC endpoints, row/column security), • Partner with data engineering, finance, architecture, and product teams to deliver scalable data platform, • Drive best practices, automation, and continuous improvement across the data ecosystem Requisitos principales, • 5-8 years in Data Engineering/Platform Engineering/Cloud Data Architecture, • Minimum 3 years owning and managing Databricks platforms in enterprise environments, • Strong expertise in Databricks services (Unity Catalog, Delta Lake, Delta Live Tables, Workflows, Asset Bundles), • Experience designing/supporting batch, streaming, API, and CDC data ingestion frameworks, • Advanced PySpark, Python, and Databricks SQL for scalable pipelines, • DevOps practices including Git, CI/CD, automated testing, and IaC (CloudFormation or CDK), • AWS experience (S3, IAM, networking, security, secrets), • Experience with large-scale data platforms in regulated industries; financial services desirable, • Preferred: Databricks/AWS certifications; Airflow, Kafka/MSK; data governance frameworks, • collaboration, • effective communication, • problem-solving, • Databricks Unity Catalog, • Delta Lake, • Delta Live Tables

Overview In this role you will own and evolve Zurich’s Databricks platform to support the Global Finance Data Hub, ensuring scalable, secure, and cost-conscious data solutions. You will build and maintain ingestion and processing pipelines, govern data with Unity Catalog, and implement CI/CD and IaC practices in a collaborative, tech-driven environment. You’ll work with cross-functional teams to deliver a robust enterprise data platform that accelerates Zurich’s data strategy and operational efficiency. This is a chance to shape a world-class data foundation within a global insurer. Compensaciones / Beneficios • flexible working model, • abroad up to 25 days yearly, • home office allowance, • wide trainings including language classes, • health insurance, • life and retirement plans Responsabilidades, • Own and evolve the Databricks platform underpinning the Global Finance Data Hub with focus on scalability, reliability, security, and cost efficiency, • Design, build, and maintain data ingestion frameworks for batch, streaming, API, and CDC across multiple sources, • Develop and manage Delta Live Tables pipelines with data quality, schema enforcement, and CDC, • Administer and optimize Delta Lake environments (performance, schema evolution, time travel, VACUUM, OPTIMIZE), • Implement Unity Catalog governance (access controls, lineage, classification, namespaces), • Build, deploy, and support Databricks Workflows for complex pipelines and event-driven processing, • Establish CI/CD pipelines using Git and Databricks Asset Bundles across dev/test/prod, • Collaborate with cloud/infrastructure teams on IaC using CloudFormation or CDK, • Manage authentication/authorization (IAM roles, profiles, service principals, secrets), • Monitor platform health and costs with Databricks system tables, CloudWatch, Grafana, • Define cluster policies, compute strategies, and DBU governance for optimization, • Ensure security (PrivateLink, VPC endpoints, row/column security), • Partner with data engineering, finance, architecture, and product teams to deliver scalable data platform, • Drive best practices, automation, and continuous improvement across the data ecosystem Requisitos principales, • 5-8 years in Data Engineering/Platform Engineering/Cloud Data Architecture, • Minimum 3 years owning and managing Databricks platforms in enterprise environments, • Strong expertise in Databricks services (Unity Catalog, Delta Lake, Delta Live Tables, Workflows, Asset Bundles), • Experience designing/supporting batch, streaming, API, and CDC data ingestion frameworks, • Advanced PySpark, Python, and Databricks SQL for scalable pipelines, • DevOps practices including Git, CI/CD, automated testing, and IaC (CloudFormation or CDK), • AWS experience (S3, IAM, networking, security, secrets), • Experience with large-scale data platforms in regulated industries; financial services desirable, • Preferred: Databricks/AWS certifications; Airflow, Kafka/MSK; data governance frameworks, • collaboration, • effective communication, • problem-solving, • Databricks Unity Catalog, • Delta Lake, • Delta Live Tables

team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than 3000+ experts serving its 3.5 million customers across Europe and beyond. team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one‑stop partner for online businesses and entrepreneurs across Europe. As a Senior Data Engineer in Central Data Platform you will develop and maintain our central data ecosystem for the customer domain, ensuring we build robust, scalable 360 degree view on our end customers, spanning across all our 60+ brands. You will be responsible for building, scaling, and governing high-value data products that serve as the "single source of truth" for team.blue and its 60+ sub-brands. This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting‑edge AI initiatives. • Data Product Innovation: Design and deliver high-quality, scalable data products in customer domain that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands., • Pipeline Engineering: Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data, ensuring high availability and low latency for downstream consumers and AI initiatives., • Architectural Leadership: Lead the design of secure, cost‑efficient data architectures. Establish and enforce best practices in data modeling, orchestration, and observability., • Governance & Integrity: Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls to ensure a reliable semantic layer for AI and ML use cases., • Cross‑Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high‑performing technical solutions., • Building for performance: Manage and tune data pipelines for peak performance, focusing on indexing strategies, query optimization, and schema evolution., • Mentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence., • Strategic Thinker: You don't just execute; you lead projects from ideation to actionable solution, balancing technical debt with rapid delivery., • Effective Communicator: You possess the ability to translate complex technical concepts into clear business value for non-technical stakeholders., • Problem Solver: You thrive in fast‑paced environments, managing multiple high-priority workstreams with meticulous attention to detail., • Core Ecosystem: Deep hands‑on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands‑on experience with open table formats., • Advanced SQL & Modeling: Expert‑level SQL skills (optimization, indexing) and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake)., • Cloud & Modern Data Stack: Proficiency in at least one major cloud provider (AWS, Azure, etc) and modern orchestration tools like Airflow or dbt., • DevOps & Engineering: Strong command of Docker/Kubernetes and a commitment to CI/CD best practices (with Gitlab or GitHub), • Governance: Experience with data versioning, schema evolution, and distributed metadata management., • Experience: 7+ years of professional experience in data engineering or data management, preferably within a high‑growth or multi‑brand industry., • Education: Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field., • Track Record: A demonstrable history of deploying stable, high-performance data solutions that drive measurable business value. At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas. Come as you are Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance. "At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.” The most trusted digital enabler team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services. #J-18808-Ljbffr

Zurich Insurance Group's Technology Delivery Center in Barcelona is seeking a Senior Data Platform Engineer to own and evolve the Databricks platform, ensuring reliability, security, and cost efficiency. You will design and maintain batch and streaming ingestion pipelines, Delta Live Tables, and Delta Lake, plus Unity Catalog governance. You will build CI/CD pipelines, Databricks Workflows, and collaborate with cloud, data engineering, architecture, and product teams to deliver a scalable #J-18808-Ljbffr

Biorce, a Healthtech innovator, is seeking a Senior Backend Developer (Delta Team) to build and scale our internal software infrastructure from Barcelona. You will own Leadro’s backend, APIs, and data flow, while integrating with GTM tools and external systems. The role demands ownership, architecture, and mentorship to drive fast, reliable delivery. The candidate should have strong Node.js/TypeScript expertise, NestJS, and hands-on experience with cloud platforms (GCP preferred). #J-18808-Ljbffr

Be among the first 25 applicants. Direct message the job poster from Virtusa. Location: Barcelona, Spain. Contract role. Hybrid 3 days a week from office. We are seeking a hands‑on AI Platform Engineer to design, build, and operate Databricks‑based data and AI platforms on AWS. You will enhance AI capabilities by leveraging Databricks (Workspace, Unity Catalog, Lakehouse, MLflow), modern cloud services, and DevOps/MLOps practices to deliver reliable, secure, and scalable platforms. As an AI Platform Engineer, you will invent and industrialize how the Project team uses Databricks, machine learning, and data. You will build, deploy, and evolve next‑generation platform capabilities at scale, partnering with data scientists, ML engineers, and platform teams to deliver a best‑in‑class developer experience on the Lakehouse. • Proficient in cloud operations on AWS, with strong understanding of scaling infrastructure and optimizing cost/performance., • Proven hands‑on experience with Databricks on AWS: workspace administration, cluster and pool management, job orchestration (Jobs/Workflows), repos, secrets, and integrations., • Strong experience with Databricks Unity Catalog: metastore setup, catalogs/schemas, data lineage, access control (ACLs, grants), attribute‑based access control, and data governance., • Expertise in Infrastructure as Code for Databricks and AWS using Terraform (databricks and aws providers) and/or AWS CloudFormation; experience with Databricks asset bundles or CLI is a plus., • Experience implementing CI/CD and GitOps for notebooks, jobs, and ML assets using GitHub and GitHub Actions (or GitLab/Jenkins), including automated testing and promotion across workspaces., • Ability to structure reusable libraries, package and version code, and enforce quality via unit/integration tests and linting. Proficiency with SQL for Lakehouse development., • Experiment tracking, model registry, model versioning, approval gates, and deployment to batch/real‑time endpoints (Model Serving)., • AWS IAM/STS, PrivateLink/VPC, KMS encryption, Secrets, SSO/SCIM provisioning, and monitoring/observability (CloudWatch/Datadog/Grafana)., • Experience with DevOps practices to enable automation strategies and reduce manual operations., • Experience or awareness of MLOps practices; building pipelines to accelerate and automate machine learning will be viewed favorably., • Excellent communication, cross‑functional collaboration, and stakeholder management skills., • Detail‑oriented, proactive, able to work independently and within a distributed team., • Design and implement scalable Databricks platform solutions to support analytics, ML, and GenAI workflows across environments (dev/test/prod)., • Administer and optimize Databricks workspaces: cluster policies, pools, job clusters vs. all‑purpose clusters, autoscaling, spot/fleet usage, and GPU/accelerated compute where applicable., • Implement Unity Catalog governance: define metastores, catalogs, schemas, data sharing, row/column masking, lineage, and access controls; integrate with enterprise identity and audit., • Build IaC for reproducible platform provisioning and configuration using Terraform; manage config‑as‑code for cluster policies, jobs, repos, service principals, and secret scopes., • Implement CI/CD for notebooks, libraries, DLT pipelines, and ML assets; automate testing, quality gates, and promotion across workspaces using GitHub Actions and Databricks APIs., • Standardize experiment structure, implement model registry workflows, and deploy/operate model serving endpoints with monitoring and rollback., • Develop and optimize Delta Lake pipelines (batch and streaming) using Auto Loader, Structured Streaming, and DLT; enforce data quality and SLAs with expectations and alerts., • Optimize cost and performance: rightsize clusters and pools, enforce cluster policies and quotas, manage DBU consumption, leverage spot/fleet, and implement chargeback/showback reporting., • Integrate observability: metrics/logs/traces for jobs, clusters, and model serving; configure alerting, on‑call runbooks, and incident response to reduce MTTR., • Ensure platform security and compliance: VPC design, PrivateLink, encryption at rest/in transit, secrets management, vulnerability remediation, and audit readiness; align with internal security standards and, where applicable, GxP controls., • Collaborate with cross‑functional teams to integrate the Databricks platform with data sources, event streams, downstream applications, and AI services on AWS., • Conduct technical research, evaluate new Databricks features (e.g., Lakehouse Federation, Vector Search, Mosaic AI), and propose platform improvements aligned to roadmap., • Regularly communicate progress, risks, and recommendations to client managers and development teams., • Hands‑on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations., • Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks‑focused role., • Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions., • Strong Python and SQL; experience packaging libraries and working with notebooks and repos., • Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred., • Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT., • Experience implementing DevOps automation and runbooks; comfort with REST APIs and Databricks CLI., • Git and GitHub proficiency; code review and branching strategies., • Mid‑Senior level, • Contract, • Analyst, • IT Services and IT Consulting and Data Infrastructure and Analytics Referrals increase your chances of interviewing at Virtusa by 2x. Get notified about new Platform Engineer jobs in Barcelona, Catalonia, Spain. #J-18808-Ljbffr

Zurich Insurance Group is a global insurance company. Its Technology Delivery Center in Barcelona provides technological solutions and support to local and global business units, covering software development, data analytics, cybersecurity, and IT infrastructure. • Own and evolve the Databricks platform supporting the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency;, • Design, build, and maintain batch, streaming, API, and CDC data ingestion frameworks across multiple source systems;, • Develop and manage Delta Live Tables pipelines with data quality controls, expectations, schema enforcement, and change data capture;, • Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations;, • Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management;, • Build, deploy, and support Databricks Workflows for complex multi-task pipeline orchestration, dependency management, retries, and event-driven processing;, • Establish and maintain CI/CD pipelines using Git-based development practices and Databricks Asset Bundles across development, testing, and production environments;, • Collaborate with cloud and infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK;, • Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation;, • Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools;, • Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure;, • Ensure platform security through PrivateLink, VPC endpoints, row-level security, and column-level security controls;, • Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform;, • Drive platform best practices, technical standards, automation, and continuous improvement across the data ecosystem., • 5-8 Years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture;, • At least 3 years of hands‑on experience owning and managing Databricks platforms in enterprise environments;, • Strong expertise in Databricks services, including Unity Catalog, Delta Lake, Delta Live Tables, Workflows, and Asset Bundles;, • Proven experience designing and supporting batch, streaming, API, and CDC data ingestion frameworks;, • Advanced proficiency in PySpark, Python, and Databricks SQL for scalable data pipeline development;, • Solid knowledge of DevOps practices, including Git-based development, CI/CD pipelines, automated testing, and Infrastructure as Code;, • Strong AWS experience with S3, IAM, networking, security controls, and secrets management;, • Experience with large-scale data platforms in regulated industries;, • Nice to have: Financial services experience, Databricks and/or AWS certifications, Airflow, Kafka/MSK, enterprise data governance frameworks., • Flexible working model;, • Option to work abroad for up to 25 days per year;, • Over 300 euros for home office setup and an additional monthly home office allowance;, • Internal and external training, including English, German, and Spanish classes depending on business needs;, • Ticket restaurant and health insurance with the option to exchange them for other benefits;, • Life and accident insurance;, • Collective life retirement plan;, • 2000 Referral bonus for referring talented employees;, • Special banking and insurance conditions and exclusive employee discounts;, • Functional diversity benefits;, • Stock options and mortgage benefits;, • Work location: Barcelona, Poblenou. #J-18808-Ljbffr

Hi there! I am Álvaro Gallego, the recruiter for this position. Nice to meet you! First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at Zurich! First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier. Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units. In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions. If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale. And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked. • Own and evolve the Databricks platform that underpins the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency., • Design, build, and maintain data ingestion frameworks supporting batch, streaming, API, and CDC data integration patterns across multiple source systems., • Develop and manage Delta Live Tables (DLT) pipelines, implementing data quality controls, expectations, schema enforcement, and change data capture processes., • Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations., • Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management., • Build, deploy, and support Databricks Workflows for orchestration of complex multi-task pipelines, dependency management, retries, and event-driven processing., • Establish and maintain CI/CD pipelines using Git-based development practices and Databricks Asset Bundles to promote code across development, testing, and production environments., • Collaborate with cloud and infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK., • Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation processes., • Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools., • Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure., • Ensure platform security through the implementation of PrivateLink, VPC endpoints, row-level security, and column-level security controls., • Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform., • Drive platform best practices, technical standards, automation, and continuous improvement initiatives across the data ecosystem., • 5-8 years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture., • Minimum 3 years of hands-on experience owning and managing Databricks platforms in enterprise environments., • Strong expertise in Databricks services, including Unity Catalog, Delta Lake, Delta Live Tables, Workflows, and Asset Bundles., • Proven experience designing and supporting batch, streaming, API, and CDC data ingestion frameworks., • Advanced proficiency in PySpark, Python, and Databricks SQL for scalable data pipeline development., • Solid knowledge of DevOps practices, including Git-based development, CI/CD pipelines, automated testing, and Infrastructure as Code (CloudFormation or CDK)., • Strong AWS experience covering S3, IAM, networking, security controls, and secrets management., • Experience working with large-scale data platforms in regulated industries; financial services experience is highly desirable., • Databricks and/or AWS certifications., • Experience with Airflow, Kafka/MSK, and enterprise data governance frameworks. As well as a competitive salary and a yearly bonus, we offer: • To support your work-life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs., • Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits., • Life and accident insurance., • Collective Life retirement Plan, • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts, • Functional diversity benefits, • Stock options and mortgage benefits. Barcelona, Poblenou. Can you see yourself in this role? Don’t wait any longer! At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. You are the heart & soul of Zurich! At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. Let’s continue to grow together! • Location(s): ES - Barcelona, • Schedule: Full Time, • Recruiter name: Alvaro Gallego Zazo #J-18808-Ljbffr

Desde Agap2 estamos buscando incorporar un perfil de Data Support & DataOps Engineer con experiencia en soporte de plataformas de datos, resolución de incidencias y mantenimiento de procesos de Data Engineering en entornos de procesamiento distribuido. ¿Buscas dar tu próximo paso profesional en un proyecto tecnológico dentro del mundo Data? ¡Queremos conocerte! • Gestionar y resolver incidencias reportadas por los consumidores de datos, incluyendo errores, consultas técnicas y problemas de rendimiento., • Diagnosticar y solucionar errores en procesos desarrollados con Apache Spark y en la ejecución de diferentes flujos de datos., • Proporcionar soporte operativo sobre la plataforma de datos, incluyendo gestión de permisos, accesos y resolución de solicitudes técnicas., • Dar soporte y realizar troubleshooting sobre procesos ejecutados en Databricks., • Colaborar con equipos de Data Engineering y Data Quality para garantizar la estabilidad de los servicios y minimizar el impacto de nuevos despliegues., • Diseñar, optimizar y mantener pipelines de CI/CD asociados a procesos ETL y componentes comunes de la plataforma., • Gestionar el empaquetado, versionado y distribución de librerías y dependencias mediante Poetry., • Trabajar sobre arquitecturas de datos basadas en el modelo Medallion y tecnologías como Delta Tables e Iceberg., • Utilizar Python y SQL para analizar incidencias, depurar procesos y resolver problemas relacionados con los datos., • Entre 3 y 5 años de experiencia en posiciones relacionadas con DataOps, Data Engineering, soporte de aplicaciones de datos o similares., • Experiencia previa en soporte de aplicaciones de datos, DataOps o Data Engineering., • Dominio del lenguaje de programación Python y gestión de dependencias con Poetry (idealmente)., • Experiencia en la automatización de despliegues mediante herramientas de CI/CD (GitHub Actions, GitLab CI, Azure DevOps o similares)., • Conocimiento y experiencia de uso en entornos de Databricks y procesamiento de datos con Apache Spark., • Familiaridad con el almacenamiento de datos bajo la arquitectura Medallion utilizando Delta Tables e Iceberg., • Experiencia en la gestión de políticas de acceso, seguridad y gobernanza de datos., • Habilidad sólida en la escritura y optimización de consultas SQL para tareas de depuración., • Capacidad de diagnóstico y resolución de problemas de rendimiento en entornos de computación distribuida., • Experiencia en el uso de herramientas de gestión de incidencias y tickets de soporte (Jira, Confluence)., • Jornada completa y modalidad de trabajo híbrida en Barcelona., • Contratación indefinida desde el primer momento., • Retribución flexible, ticket restaurant, seguro médico y otros beneficios., • Formación continua y acceso a cursos y certificaciones., • Participación en proyectos tecnológicos dentro de entornos Data modernos y de gran volumen., • Desarrollo profesional dentro de un equipo especializado en Data Engineering y DataOps. Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica. #J-18808-Ljbffr

OverviewCompruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible.In this role you will own data governance and the data platform framework for Homecare Europe, ensuring reliability, compliance and business continuity across countries. You will steer a multi-year Data & AI transformation roadmap, act as the RSW authority on data architecture, and align data strategy with regulatory and clinical needs. You will shape a lakehouse-based data platform, build pipelines in Databricks, and implement governance and secure data handling to deliver governed data products. You’ll lead cross-functional governance and set engineering standards, contributing to the company’s digital transformation.Compensaciones / Beneficiossafe workplacehigh safety standardsunlimited (permanent) contractfull-time rolecareer development opportunitiesResponsabilidadesOwn Data Governance and Data Process framework for Homecare Europe; implement and operate Data PlatformLead multi-year Data & AI transformation roadmap across multiple countriesAct as RSW authority for Data & AI architecture and influence global architecture decisionsDrive cross-functional governance and align data strategy with regulatory and operational requirementsDefine target lakehouse architecture and roadmap for data sources and governed data products (Databricks-first)Build ingestion and transformation pipelines in Databricks (Python/PySpark, SQL, Delta Lake) with incremental loads/backfillsImplement governance and security with Unity Catalog and manage PII per GDPR and internal policiesEstablish data modeling standards and KPI/semantic layers; deliver curated datasets for Power BI and APIsSet engineering standards for CI/CD, testing, monitoring, and runbooks; transfer knowledge to internal teamsContribute to digitalization and automation initiatives to advance the organization’s transformationRequisitos principales8+ years in data architecture and data engineering for enterprise platforms3+ years hands-on Databricks/Spark/Delta in production xhfqzwm (lakehouse patterns)experience establishing governance and access controls (Unity Catalog preferred) and handling sensitive datafamiliarity with HL7 v2 / FHIR is a plusexperience integrating data from Azure-hosted applications and Microsoft SQL; external providers/IoT data is a plusleadership of multi-country data or digital transformation programs in regulated industriesbudget responsibility and management of multidisciplinary teamsEnglish required; French/Portuguese/Spanish/German a pluscross-functional collaborationstakeholder managementleadership and mentoringDatabricksSparkDelta Lake

I am Álvaro Gallego, the recruiter for this position. Nice to meet you! First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at Zurich! First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier. Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units. In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions. If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale. And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked. As a Databricks Platform Engineer you will have the opportunity to: • Own and evolve the Databricks platform that underpins the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency., • Design, build, and maintain data ingestion frameworks supporting batch, streaming, API, and CDC data integration patterns across multiple source systems., • Develop and manage Delta Live Tables (DLT) pipelines, implementing data quality controls, expectations, schema enforcement, and change data capture processes., • Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations., • Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management., • Build, deploy, and support Databricks Workflows for orchestration of complex multi-task pipelines, dependency management, retries, and event-driven processing., • Establish and maintain CI/CD pipelines using Git-based development practices and Databricks Asset Bundles to promote code across development, testing, and production environments., • Collaborate with cloud and infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK., • Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation processes., • Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools., • Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure., • Ensure platform security through the implementation of PrivateLink, VPC endpoints, row-level security, and column-level security controls., • Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform., • Drive platform best practices, technical standards, automation, and continuous improvement initiatives across the data ecosystem. While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team. We are waiting for you! • 5-8 years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture., • Minimum 3 years of hands‑on experience owning and managing Databricks platforms in enterprise environments., • Strong expertise in Databricks services, including Unity Catalog, Delta Lake, Delta Live Tables, Workflows, and Asset Bundles., • Proven experience designing and supporting batch, streaming, API, and CDC data ingestion frameworks., • Advanced proficiency in PySpark, Python, and Databricks SQL for scalable data pipeline development., • Solid knowledge of DevOps practices, including Git-based development, CI/CD pipelines, automated testing, and Infrastructure as Code (CloudFormation or CDK)., • Strong AWS experience covering S3, IAM, networking, security controls, and secrets management., • Experience working with large-scale data platforms in regulated industries; financial services experience is highly desirable., • Databricks and/or AWS certifications., • Experience with Airflow, Kafka/MSK, and enterprise data governance frameworks. As well as a competitive salary and a yearly bonus, we offer: • To support your work‑life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs., • Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits., • Life and accident insurance., • Collective Life retirement Plan, • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts, • Functional diversity benefits, • Stock options and mortgage benefits. Barcelona, Poblenou. #Li-hybrid If not, no worries! We’ll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit. At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. You are the heart & soul of Zurich! At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. #J-18808-Ljbffr

team.blue is a digital enabler for companies and entrepreneurs, providing innovative digital services through an ecosystem of hosting, SaaS, e-commerce, compliance, marketing, and collaboration brands across Europe. • Design and deliver scalable customer-domain data products that provide a unified source of truth across 60+ global sub-brands, • Build and optimize ETL/ELT pipelines for structured and unstructured data, ensuring high availability and low latency, • Lead the design of secure and cost-efficient data architectures, • Establish and enforce best practices in data modeling, orchestration, and observability, • Implement data governance frameworks covering lineage tracking, metadata management, and quality controls, • Translate complex business requirements into high-performing technical solutions for Analytics, ML, and AI teams, • Manage and tune data pipelines through indexing strategies, query optimization, and schema evolution, • Mentor junior engineering team members and foster technical excellence, • Lead projects from ideation to actionable solutions while balancing technical debt and rapid delivery, • Translate complex technical concepts into clear business value for non-technical stakeholders, • Manage multiple high-priority workstreams with attention to detail, • 7+ Years of professional experience in data engineering or data management, • Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field, • Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands-on experience with open table formats, • Expert-level SQL skills, including optimization and indexing, • Mastery of dimensional, star schema, and snowflake data modeling techniques, • Proficiency with at least one major cloud provider, such as AWS or Azure, • Experience with Airflow or dbt, • Strong command of Docker and Kubernetes, • Commitment to CI/CD best practices with Gitlab or GitHub, • Experience with data versioning, schema evolution, and distributed metadata management, • Demonstrable history of deploying stable, high-performance data solutions that drive measurable business value, • Ability to communicate complex technical concepts clearly to non-technical stakeholders Employment in Barcelona, Catalonia, Spain; Relocation packages and visa sponsorship are not available; Candidates must provide proof of eligibility to work in the country of application. #J-18808-Ljbffr

Job-ID: bc98de16-39bc-4004-9f8b-757b7b496a94Reference: J-4353Location: Barcelona, SpainJob type: Full-time, HybridSalary: 60.000 - 75.000 brutos anualesCategory: DataStack: Python, Azure, Databricks, Kafka, MLOpsContact: david.carbonell@akuaro.com, tatiana@akuaro.com, claudio@akuaro.comUna empresa líder en su sector industrial europeo busca un Data Engineer Senior para unirse a su nueva Oficina de Transformación Digital.Esta es una oportunidad única para tener un impacto significativo en la estrategia de datos e inteligencia artificial de una compañía con un sólido backlog de iniciativas estratégicas. Te enfocarás en proyectos que buscan mejorar la producción, la eficiencia energética y la logística, generando un valor económico sustancial.No se trata de una posición de mantenimiento de ETLs rutinarios, sino de construir y evolucionar la plataforma de datos que conectará los sistemas industriales con un entorno cloud moderno. Serás parte fundamental en el diseño y despliegue de soluciones innovadoras, estableciendo las bases para productos de datos avanzados y modelos de Machine Learning.Te incorporarás a un equipo interno de nueva creación, colaborando inicialmente con partners tecnológicos internacionales para una transferencia de conocimiento fluida, asumiendo progresivamente el liderazgo de las soluciones desarrolladas. Tu misión será clave en la implementación de la ingeniería de datos en un contexto industrial.ResponsibilitiesDiseñar, construir y operar pipelines de datos fiables y escalables, integrando sistemas industriales con la plataforma corporativa de datos.Ingestar información industrial (sensores, PLC, MES) desde Kafka hacia Azure y Databricks.Desarrollar pipelines sobre arquitecturas Lakehouse / Medallion (capas Bronze, Silver, Gold), gestionando procesamiento batch, microbatch y streaming.Integrar datos de planta con información corporativa, aplicando buenas prácticas de calidad, observabilidad y trazabilidad.Gestionar grandes volúmenes de datos, incluyendo retos como datos retrasados, duplicidades y reintentos.Colaborar en el gobierno del dato mediante herramientas específicas y participar en la automatización de infraestructura y despliegues.Construir productos de datos reutilizables, mantenibles y bien documentados.Trabajar estrechamente con Data Scientists para la puesta en producción y reentrenamiento de modelos de Machine Learning.RequirementsExperiencia sólida en el diseño, construcción y mantenimiento de pipelines de datos en producción.Dominio de Python y SQL para el desarrollo de soluciones de datos.Experiencia práctica con Spark, Databricks o plataformas Lakehouse equivalentes.Conocimiento avanzado de arquitecturas ETL/ELT y procesamiento de grandes volúmenes de datos.Experiencia con plataformas cloud, preferentemente Microsoft Azure.Capacidad demostrada para desarrollar soluciones mantenibles, documentadas y escalables.Un perfil hands-on, con interés tanto en el diseño de arquitecturas como en la implementación.Habilidades de colaboración con equipos técnicos, stakeholders de negocio y expertos industriales.Nivel profesional alto de inglés, tanto hablado como escrito.Indispensable disponer de vehículo propio para desplazamientos regulares a las instalaciones, ubicadas en una zona industrial del Vallés Occidental.Se valorará muy positivamente:Experiencia específica con Azure Databricks, Spark Structured Streaming y Delta Lake.Conocimiento de Kafka y otras tecnologías de streaming o mensajería.Experiencia con arquitectura Medallion (Bronze, Silver, Gold).Manejo de Terraform, Azure DevOps y procesos de CI/CD.Familiaridad con herramientas de gobierno del dato como Unity Catalog o Microsoft Purview.Integraciones con sistemas empresariales como SAP.Experiencia con datos industriales (sensores, IoT, series temporales, MES, SCADA).Conocimiento de arquitecturas de edge computing y la integración OT/IT.BenefitsUn proyecto estratégico de gran impacto respaldado por la dirección tecnológica.La oportunidad de trabajar y evolucionar una plataforma de datos innovadora.Participación en casos de uso con impacto directo sobre producción, energía y eficiencia.Colaboración con grandes profesionales y partners tecnológicos internacionales.Autonomía y capacidad real para proponer soluciones y buenas prácticas.Modelo de trabajo híbrido flexible con un 50% de teletrabajo, autogestionado según las necesidades del proyecto.Horario de entrada flexible y jornada intensiva durante el verano.Aparcamiento en las instalaciones y comedor de empresa subvencionado.Acceso a formación continua y desarrollo profesional.Retribución fija competitiva de entre 60.000 y 75.000 brutos anuales, según experiencia.

Overview In this role you will own and evolve Zurich’s Databricks platform to support the Global Finance Data Hub, ensuring scalable, secure, and cost-conscious data solutions. You will build and maintain ingestion and processing pipelines, govern data with Unity Catalog, and implement CI/CD and IaC practices in a collaborative, tech-driven environment. You’ll work with cross-functional teams to deliver a robust enterprise data platform that accelerates Zurich’s data strategy and operational efficiency. This is a chance to shape a world-class data foundation within a global insurer. Compensaciones / Beneficios • flexible working model, • abroad up to 25 days yearly, • home office allowance, • wide trainings including language classes, • health insurance, • life and retirement plans Responsabilidades, • Own and evolve the Databricks platform underpinning the Global Finance Data Hub with focus on scalability, reliability, security, and cost efficiency, • Design, build, and maintain data ingestion frameworks for batch, streaming, API, and CDC across multiple sources, • Develop and manage Delta Live Tables pipelines with data quality, schema enforcement, and CDC, • Administer and optimize Delta Lake environments (performance, schema evolution, time travel, VACUUM, OPTIMIZE), • Implement Unity Catalog governance (access controls, lineage, classification, namespaces), • Build, deploy, and support Databricks Workflows for complex pipelines and event-driven processing, • Establish CI/CD pipelines using Git and Databricks Asset Bundles across dev/test/prod, • Collaborate with cloud/infrastructure teams on IaC using CloudFormation or CDK, • Manage authentication/authorization (IAM roles, profiles, service principals, secrets), • Monitor platform health and costs with Databricks system tables, CloudWatch, Grafana, • Define cluster policies, compute strategies, and DBU governance for optimization, • Ensure security (PrivateLink, VPC endpoints, row/column security), • Partner with data engineering, finance, architecture, and product teams to deliver scalable data platform, • Drive best practices, automation, and continuous improvement across the data ecosystem Requisitos principales, • 5-8 years in Data Engineering/Platform Engineering/Cloud Data Architecture, • Minimum 3 years owning and managing Databricks platforms in enterprise environments, • Strong expertise in Databricks services (Unity Catalog, Delta Lake, Delta Live Tables, Workflows, Asset Bundles), • Experience designing/supporting batch, streaming, API, and CDC data ingestion frameworks, • Advanced PySpark, Python, and Databricks SQL for scalable pipelines, • DevOps practices including Git, CI/CD, automated testing, and IaC (CloudFormation or CDK), • AWS experience (S3, IAM, networking, security, secrets), • Experience with large-scale data platforms in regulated industries; financial services desirable, • Preferred: Databricks/AWS certifications; Airflow, Kafka/MSK; data governance frameworks, • collaboration, • effective communication, • problem-solving, • Databricks Unity Catalog, • Delta Lake, • Delta Live Tables

This role welcomes an hybrid work arrangement,applicants must be based in Spain or France or Italy and have a work permit to be considered. We are a team of passionate engineers distributed across the world, always eager to learn new things. We are building state-of-the-art modern applications and scale it on the cloud. We innovate to solve customers problems, focusing on high-performance implementations without neglecting the user experience. We recently moved our Product and Tech teams to a pod model: • A pod is a small group, 1 to 4 people, that owns a single mission end to end: from scoping and building through cleaning, enablement and watching adoption. Pods form around a mission and dissolve when it's done. Everyone is a pod owner, from the most junior person to the most senior, because ownership is the point., • Your domain is your product-area home, the part of our software suite you know best. Pods change with every mission; your craft and your domain don't. We are looking for a Software Development Engineer to shape Discover, the part of our software suite where brands monitor their presence and their competitors' presence, analyse and benchmark their performance and uncover what's driving it. Among monitoring and reporting features, we're currently bringing to life many AI-led features and advanced analytics capabilities that allow our customers to see how their brand is performing across media, influencers, celebrities and more, with Media Impact Value (MIV) at its heart. This role plays a key part in our Tech & Product strategy, directly supporting company-wide objectives around customer retention, data trust, and the development of new AI-based insights. • Contribute to building new features from initial architecture choices to the marketable product impulsing innovative solutions and the most recent technologies, • Collaborate with team members to maintain and improve existing features by fixing defects and doing continuous refactors to modernize the technical stack and reduce the overall architecture complexity, • Act as a Frontend expert, leveraging deep expertise in React and Redux, to guide the team with valuable insights, improvements, and suggestions on best practices regarding frontend code, • Architect efficient database schemas for new implementations or contribute to improve existing ones, • Work closely with product management, designers and QA to define user requirements and translating them into reliable, intuitive features, • Evangelize code quality through writing well-architected, structured code, unit tests, while following best industry practices, • Be a driver of AI-led improvements across our tech stack, documentation, tooling, and organization, • Refactor, optimize and constantly drive for improved efficiency and code health and reduced complexity, • Languages: TypeScript, Python, Java, • Database & Data Platform: Databricks, MySQL, Redis, • Cloud providers: Amazon, • Main AWS technologies: Lambda, Docker on ECS/Fargate, Step functions, Kinesis, SQS, SNS, S3, • Tools: Jira, Sentry, VSCode, ..., • Versioning tool: Git, Github, • CI/CD: Github actions, Jenkins, • Testing: Jest, React Testing Library, • Engineer Degree - Master Degree in Computer Science and a minimum of 2 years of relevant work experience in full-stack developments in a SaaS environment with Agile methodologies, • Experience with, or strong interest in, AI-assisted development workflows (e.g. Claude, GitHub Copilot) to accelerate coding, testing, and code review, • Strong expertise with React, • Experience building a RESTful API, or even better, a GraphQL API, • Experience working with modern data platforms (e.g. Databricks, Spark, Delta Lake) for building and optimizing data pipelines, or similar experience with search engines like ElasticSearch, • Good understanding of data modeling, performance tuning, and lifecycle management (partitioning, indexing/clustering, schema evolution) in large-scale distributed data systems, • Bright, energetic, highly motivated self-starter with experience in a fast-paced, results-oriented organization, • Ability to adapt, estimate workload, break down a task into logical steps, solve problems, self-improve and suggest new ways of improvement, • You care about the long-term maintainability of the codebase and advocate for refactoring and clean-ups when appropriate, • Last, but definitely not least: you speak, read, and write English fluently, • Intro call with Talent Acquisition, to get to know each other (30 min)., • Meet & Greet with VP Software Development., • Technical Interview, a live interview with a couple of Software Engineers., • Team fit with the engineers and peers you'd build alongside. Launchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle and Beauty (FLB) executives to make smarter decisions around their branding efforts. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences. Founded in NYC and with operating headquarters in Paris, we have employees in ten markets worldwide and offer support in five languages. We have been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as industry partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana. We're a company that puts people first, with a relaxed but genuinely dynamic atmosphere and a team of motivated, curious people who like their work. Autonomy is real here: pods make local decisions and own their outcomes, which means you'll see your fingerprints on the product quickly. You’ll get a learning and development allowance, a benefits package tailored to your location, flexible working arrangements with support to set up your home office, and the room to grow along whichever path fits you. We’re remote-friendly, with hubs across our twelve markets. Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know. #J-18808-Ljbffr

Seqera exists to advance science for everyone through software We provide software for scientists solving today's most complex and important challenges from pioneering innovative therapeutics to unveiling the secrets of our universe. The journey began a decade ago with Nextflow — open software that helps over 100,000 global scientists analyze and process data, with more power and flexibility than ever before. Today, Seqera consolidates fragmented data and diverse computing resources into a unified platform. Our modern biotech stack is trusted by over 150 leading life sciences organizations. Empowered with modern software engineering, organizations conduct science faster, on larger datasets, and with more confidence. Seqera accelerates discoveries in an open world. Would you like to be a part of a company with a bigger purpose and make it successful with your own ideas? If yes, keep reading! We are looking for a Staff Software Engineer to join our Unified Compute team and take technical ownership of the low-level systems that power how scientific workloads run in the cloud. Our scheduling project (Sched) has gained real momentum, and we need a senior engineer to help build the ecosystem around it to the next level. The core of this role is deep in the stack — Fusion (a FUSE filesystem presenting cloud object storage as POSIX), Fusion Snapshots (CRIU-based checkpoint/restore that survives spot-instance reclamation), and Ignite (a container process manager) — with Sched as the orchestration layer that ties compute together. You'll also support adjacent services such as Groundswell (ML-based resource prediction) and Cloudinfo (multi-cloud pricing/metadata). It's a hands‑on senior role with strong architectural influence. • Design, build, and own low-level systems across Fusion, Fusion Snapshots, Ignite, and Sched., • Write reliable, well-tested code primarily in Go and C, with Rust and JVM (Groovy/Java, Micronaut) where the codebase calls for it., • Work close to the OS: FUSE filesystems, Linux namespaces, CRIU checkpoint/restore, process supervision, signal handling, static musl builds., • Tackle multi-cloud orchestration and scheduling: provider abstractions (AWS, Azure, GCP), instance selection, autoscaling, spot-instance fault tolerance, durable async queues., • Drive performance engineering — chunked I/O, multi-level caching, buffer pools, bandwidth management., • Set technical direction and raise the standard for testing, observability, and operational excellence., • Mentor teammates and help onboard new engineers., • Deep experience building production‑grade systems software, with technical ownership at Staff level., • Strong in Go and comfortable in C (or C++), close to the operating system., • Solid Linux internals — filesystems, namespaces, processes, signals, networking — and comfortable debugging at that level., • Built distributed and/or cloud-native systems and understand the failure modes of running across multiple clouds., • Write simple, well‑structured, well-tested code; optimize for clarity and debuggability., • Comfortable with ambiguity and driving work independently., • We use AI every day and expect engineers to use it extensively — you don't need to be an expert, but you must be genuinely open to it., • CRIU / checkpoint-restore / process migration., • FUSE or other filesystem/VFS work., • Rust; JVM (Groovy/Java, Micronaut)., • Container runtimes, Docker internals, Kubernetes., • HPC/Batch (AWS Batch, Google Batch, Azure Batch)., • Applied ML / data engineering (Groundswell); open-source systems contributions., • Flexible working hours and remote-friendly culture., • International working environment with more than 25 nationalities., • Passionate & talented team., • Continuous skills development., • Team retreats and bonding activities., • A culture where your opinion is valued and your decisions have a real impact on the industry., • Excitement of a fast-growing startup in a constantly changing environment., • Time off: 20 days for vacations per year, 3 days given by Seqera in December, and the national/public holidays according to your location., • Equity, • Private health insurance with United Healthcare, dental with Delta, and vision coverage from Vision Service Plan., • Private life insurance with Lincoln, • Investment app with Vestwell (401K), • Home office equipment (valued over 1,000 USD), • Subscription to Oliva, Mental Health App, • Learning and development budget per year (1,000 USD) #J-18808-Ljbffr

• Keep production Databricks pipelines running, including ingestion, transformation, and delivery to downstream consumers, • Diagnose and resolve pipeline failures and data quality issues, • Reverse-engineer and document existing transformation logic and business rules, • Migrate legacy tables from Hive Metastore to Unity Catalog, • Maintain Iceberg-enabled table sharing between Databricks and Snowflake, • Build and test dbt models, including incremental materializations and data tests, • Develop and maintain Airflow DAGs for orchestration, • Validate migrated pipelines against Databricks outputs, • Contribute to Snowflake modeling, performance, and cost decisions, • Work directly with client stakeholders on technical topics alongside the team lead, • 3+ years operating production data pipelines, • PySpark and SQL — able to read, debug, and modify existing pipelines, • Delta Lake: MERGE/upsert patterns, table properties, OPTIMIZE, partitioning, • Databricks Workflows, cluster configuration, job troubleshooting, • Unity Catalog: catalogs, schemas, grants, lineage, and the metastore model, • Snowflake warehouses, roles and grants, and general operating model, • Snowflake query performance and awareness of compute cost behavior, • dbt models, sources, tests, and incremental materializations, • dbt project structure and deployment workflow, • Airflow DAGs, operators, scheduling, and dependency management, • Airflow retries, backfills, and idempotent task design, • Strong SQL, including window functions, complex joins, and reading transformation logic, • Python for scripting, automation, and API integration, • Incremental loading patterns, idempotency, late-arriving data, and reprocessing, • AWS S3 and IAM basics, • Basic working knowledge of Redshift and its role in wider architecture, • Fluent English, • Self-directed and able to progress on an unfamiliar codebase without structured onboarding, • Able to explain production incidents to non-technical stakeholders and provide realistic ETAs Demonstrates expertise in managing production data pipelines using Databricks, including ingestion, transformation, and delivery processes. Proficient in SQL, PySpark, and dbt for building and testing data models, with a strong understanding of Snowflake and Airflow for orchestration and performance optimization. • Databricks Pipeline Management, • SQL Proficiency, • PySpark Development, • Airflow DAG Development, • Dbt Model Building, • SQL, • PySpark, • Dbt, • Airflow, • Delta Lake, • Unity Catalog, • Snowflake, • AWS S3, • Incremental Loading Patterns, • Data Quality Diagnosis, • Self-Directed, • Effective Communication, • Stakeholder Engagement, • Data Pipeline, • Data Transformation, • Data Quality, • Data Modeling, • Orchestration, • Databricks, • Snowflake, • Airflow, • Hive Metastore, • Redshift #J-18808-Ljbffr

team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than 3000+ experts serving its 3.5 million customers across Europe and beyond. team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe. As a Senior Data Engineer, you will develop and maintain our central data ecosystem, ensuring we extract maximum strategic value from our global data assets. You will be responsible for building, scaling, and governing high-value data products that serve as the "single source of truth" for team.blue and its 60+ sub-brands. This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting‑edge AI initiatives. • Data Product Innovation: Design and deliver high-quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands., • Pipeline Engineering: Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data, ensuring high availability and low latency for downstream consumers., • Architectural Leadership: Lead the design of secure, cost-efficient data architectures. Establish and enforce best practices in data modeling, orchestration, and observability., • Governance & Integrity: Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls to ensure a reliable semantic layer for AI and ML use cases., • Cross-Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutions., • Platform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolution., • Mentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence., • Strategic Thinker: You don't just execute; you lead projects from ideation to actionable solution, balancing technical debt with rapid delivery., • Effective Communicator: You possess the ability to translate complex technical concepts into clear business value for non-technical stakeholders., • Problem Solver: You thrive in fast-paced environments, managing multiple high-priority workstreams with meticulous attention to detail., • Core Ecosystem: Deep hands‑on experience with Databricks (PySpark, Delta Lake, Unity Catalog)., • Advanced SQL & Modeling: Expert-level SQL skills (optimization, indexing) and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake)., • Cloud & Modern Data Stack: Proficiency in at least one major cloud provider (AWS, GCP, etc) and modern orchestration tools like Airflow or dbt., • Database Diversity: Proven experience managing data across various RDBMS platforms (PostgreSQL, SQL Server, Oracle, etc)., • DevOps & Engineering: Strong command of Docker/Kubernetes and a commitment to CI/CD best practices., • Governance: Experience with data versioning, schema evolution, and distributed metadata management., • Experience: 7+ years of professional experience in data engineering or data management, preferably within a high-growth or multi-brand industry., • Education: Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field., • Track Record: A demonstrable history of deploying stable, high-performance data solutions that drive measurable business value. At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas. "Come as you are". Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance. "At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.” team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services. #J-18808-Ljbffr

Hi there! First, a little bit about what I like the most about working atZurich Technology Delivery Center : The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at Zurich ! First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I'll try to make it easier. Let me introduce us. You're reading about Zurich Insurance Group , a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units. In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions. If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale. And you might be thinking: This is great, what will my day-to-day be like, at TDC? I'm glad you asked. • Own and evolve the Databricks platform that underpins the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency., • Design, build, and maintain data ingestion frameworks supporting batch, streaming, API, and CDC data integration patterns across multiple source systems., • Develop and manage Delta Live Tables (DLT) pipelines, implementing data quality controls, expectations, schema enforcement, and change data capture processes., • Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations., • Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management., • Build, deploy, and support Databricks Workflows for orchestration of complex multi-task pipelines, dependency management, retries, and event-driven processing., • Establish and maintain CI/CD pipelines using Git-based development practices and Databricks Asset Bundles to promote code across development, testing, and production environments., • Collaborate with cloud and infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK., • Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation processes., • Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools., • Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure., • Ensure platform security through the implementation of PrivateLink, VPC endpoints, row-level security, and column-level security controls., • Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform., • Drive platform best practices, technical standards, automation, and continuous improvement initiatives across the data ecosystem. While we're not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you'll be a fantastic fit for our team. We are waiting for you! • Databricks and/or AWS certifications., • Experience with Airflow, Kafka/MSK, and enterprise data governance frameworks. As well as a competitive salary and a yearly bonus , we offer: • To support your work-life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs., • Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits., • Life and accident insurance., • Collective Life retirement Plan, • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts, • Functional diversity benefits, • Stock options and mortgage benefits. Barcelona, Poblenou. If not, no worries! We'll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit. At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. Zurich Technology Delivery Center -- Your Talent, Our Strength You are the heart & soul of Zurich! At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step. Let's continue to grow together! • Location(s): ES - Barcelona, • Schedule: Full Time, • Recruiter name: Alvaro Gallego Zazo #J-18808-Ljbffr

Accenture, recognized as a Great Place To Work, is a leading global professional services company that helps major businesses, public administrations, and other organizations around the world develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale.We are looking for Data & AI professionals to join our Data & AI ecosystem, working on global initiatives for reference clients across financial services, life sciences and pharma, public sector organizations, and large international companies—many of them recognized as Accenture success stories.The role is based in Barcelona under a hybrid work model, combining remote work with on‑site collaboration at the office to foster strong team synergies.Candidates must reside in Spain and hold a valid work permit for Spain.Functions:Design, build, and evolve data and analytics solutions on cloud platforms such as AWS, Azure, or GCP, using technologies including Databricks, Snowflake, BigQuery, and Synapse.Develop and operate scalable, production‑grade data pipelines using Spark, Kafka, Airflow, dbt, and Delta Lake.Contribute to advanced analytics, machine learning, and Generative AI use cases, including LLM‑based architectures, RAG solutions, and intelligent agents.Collaborate with multidisciplinary teams to deliver end‑to‑end data‑driven solutions from design through production.Responsibilities:Define and implement data and AI architectures aligned with business requirements and Accenture technical standards.Deliver end‑to‑end solutions, from data ingestion and modeling to analytics consumption and production deployment.Apply and continuously improve best practices in Data Engineering, Analytics, MLOps, and LLMOps.Actively participate in global technical communities and innovation initiatives within the Data & AI ecosystem.Requisitos imprescindibles:Minimum 3 years of professional experience in Data, Analytics, Machine Learning, or AI projects.Minimum 3 years of professional experience in at least one of the following technology areas:Cloud and data platforms: AWS, Azure, GCP, Databricks, Snowflake, BigQuery, or Synapse.Data engineering and processing: Spark, Kafka, Airflow, dbt, or Delta Lake.Analytics and BI: Power BI, Tableau, or Looker.Professional experience working with production environments and enterprise‑scale projects.Residence in Spain and legal authorization to work in Spain.Requisitos valorables:Experience with Generative AI and LLM technologies such as Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, RAG, or intelligent agents.Experience with Customer and Marketing Data platforms such as Adobe or Salesforce.Experience in international projects or multicultural environments.Official cloud certifications (AWS, Azure, or Google Cloud).At Accenture, a company recognized as a Great Place To Work, we are committed to a hybrid work model that, supported by technology and our offices, helps us maintain the essential human connection needed to work with our teams and clients. This connection enables us to sustain our culture of inclusion and diversity and to be recognized by Refinitiv as the most diverse company in the world.Additionally, we offer benefits such as:Medical, life, and accident insuranceMedical services and wellbeing programsFlexible compensation program and employee share purchase planFlexibility programs (working hours, days off, vacation options)Individualized learning and development pathSustainability programs and Accenture FoundationEmployee diversity networksAdditional benefits such as Bankinter office with special conditions and profit sharingAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Declaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.SummaryLocation: Barcelona, La RotondaType: Full time

At Leadtech, we've been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we're united by a passion for creativity and collaboration. We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before. We're proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our About Us page! Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success. As a Senior Data Enginee r, you'll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you'll have the opportunity to make a meaningful impact on both our products and processes. If you're passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you! • Proactively identify, troubleshoot, and resolve issues to optimize both internal and external processes., • Balance multiple projects without sacrificing quality, aligning your work with brand standards, cultural nuances, and regulatory requirements., • Engage with diverse stakeholders (e.g., product, engineering, and marketing teams) to gather requirements, evaluate options, and develop tools and processes to support our organization's goals., • Excellent analytical and problem-solving abilities, with a strategic approach to tackling challenges., • Strong collaboration skills for working seamlessly with cross-functional teams., • Exceptional communication skills for engaging stakeholders across various levels., • Advanced English proficiency in both speaking and writing, enabling clear and effective interactions., • Experience with Python, SQL, Spark, Databricks (Unity Catalog / Delta), Apache Airflow, and GCP (GCS, BigQuery); dbt and ads/payments APIs (Google Ads, Stripe, RevenueCat or similar) are a plus. A solid understanding of agile methodologies., • Comfort owning production: scheduled jobs, data quality checks, alerting, and getting a failed daily run back on time., • Curiosity about the business behind the tables - marketing spend, subscriptions, and attribution - not only the pipelines that move them. Growth and career development • At Leadtech, we prioritize your growth. Enjoy a flexible career path with personalized internal training and an annual budget for external learning opportunities. Work-Life balance • Benefit from a flexible start and end times and the option of working full remote or from our Barcelona office. Enjoy free Friday afternoons with a 7-hour workday, plus a 35-hour workweek in July and August so you can savor summer! Comprehensive benefits • Competitive salary, full-time permanent contract, and top-tier private health insurance (including dental and psychological services)., • 25 days of vacation plus your birthday off, with flexible vacation options---no blackout days! Unique Perks • If you wish to come, in our office in Barcelona you'll find it coplete with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with stunning Mediterranean views., • Additional benefits include ticket restaurant and nursery vouchers, paid directly from your gross salary. Join us in an environment where you're free to innovate, learn, and grow alongside passionate professionals. At Leadtech, you'll tackle exciting challenges and be part of a vibrant team dedicated to delivering exceptional user experiences Leadtech is an Equal Employment Opportunity (EEO) Employer, which means we encourage applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of their race, gender, age, religion, nationality, sexual orientation, and/or disabilities. All we need is your high energy, skills, and willingness to be a part of a great project! You'll have the flexibility to choose whether you'd like to come to the office every day, from time to time, or work fully remote. We want you to find the best combination for you. If you prefer to be surrounded with amazing people, our exceptional office is in Barcelona's Blue Building, located right on the city's seafront. Besides our stunning views, you'll enjoy our office perks such as free fruit, snacks, and coffee and you'll also be able to take part in our Mario Kart and table tennis competitions. The personal data you provide will be processed in order to manage your candidity for the corporate selection processes that fit your profile. If you wish, you can exercise your rights of access, rectification or cancellation by writing to our address (Avenida Litoral, 12-14, 5ta planta. Barcelona. 08005) or to the email address privacy@leadtech.com, attaching to your request a document that can validate your identity. #MAU #J-18808-Ljbffr

LEVEL is a long-haul airline based in Barcelona and part of the IAG group. The company is customer‑centric and places a strong emphasis on values such as commitment, an open attitude, a constant drive for improvement, and making travel easy for their customers. With a focus on providing an exceptional customer experience, LEVEL is committed to delivering top‑notch service and exceeding the expectations of their passengers. The RM Systems Specialist supports the Revenue Management team in the day‑to‑day calibration of the Revenue Management System (RMS), the automation of manual processes, and the development of the KPI framework. This role blends strong data analytics skills with growing expertise in RM systems, enabling the Pricing and Inventory teams to work faster, smarter, and with better data. The RM Systems Specialist reports to the RM Systems, Processes & KPIs Manager. • 1. RMS Ownership & Technical Strategy, • System Configuration & Calibration: Support the administration and fine‑tuning of the Revenue Management Systems (AirRM & PROS), assisting with demand forecasting models, influence factors, and optimizer settings., • Business Rule Management: Support the implementation and validation of RM business rules, ensuring system configurations align with commercial and operational objectives., • Data Integration & Quality Assurance: Validate data flows between the PSS, RMS, and external data sources (e.g., Infare), ensuring data accuracy, integrity, and timely availability for Revenue Management processes., • 2. Process Excellence & Business Automation, • Automation Projects: Design and build automation scripts and tools (SQL, Python, RPA) to eliminate manual, repetitive tasks and free up analyst time for higher‑value work., • System Enhancements & Testing: Coordinate and execute functional testing for RM system enhancements, configuration changes, and new releases, ensuring solutions meet business requirements before deployment., • Knowledge Management & Best Practices: Develop and maintain the RM knowledge base, documenting system processes and best practices to ensure consistency and facilitate knowledge sharing across the team., • 3. KPI Framework & Performance Auditing, • Dashboard Development: Build and maintain the RM “Health Check” dashboard in Power BI, tracking metrics such as Forecast Accuracy (MAPE), Yield Opportunity Loss, and Spill/Spoilage., • Override Analysis: Support “Post‑Mortem” audits on analyst overrides to help measure their value‑add versus the system’s baseline., • Data Deep‑Dives: Analyze no‑show trends, cancellation patterns, and denied boarding data to identify revenue opportunities/leakage points., • Bachelor’s or Master’s degree in a highly quantitative field (Engineering, Data Science, Statistics, Mathematics, or similar)., • Prior experience as a Data Analyst, BI Analyst, or in a similar quantitative role is required; prior experience in Revenue Management, Pricing, or the airline/travel industry is a plus, but not a must., • System Exposure: Familiarity with RM systems (AirRM, PROS, or similar) and core RM concepts (e.g., EMSRb, Dynamic Pricing) is a plus., • Technical Stack: SQL: Solid working knowledge (BigQuery, Snowflake, or SQL Server) for data extraction and analysis., • Data Viz: Experience with Power BI or Tableau to build dashboards and automated reports., • Coding: Proficiency in Python or R for automation and predictive modeling is highly valued., • Analytical Mindset: Comfortable investigating why numbers move and translating findings into clear, actionable recommendations., • Communication: Able to work closely with both technical teams and commercial stakeholders., • Mindset: Analytical, curious, and driven to continuously learn, with a strong interest in developing expertise in RM and supporting data‑driven decisions., • Languages: Fluent in English and Spanish., • Forecast Accuracy: Contributing to reducing the delta between predicted and actual demand., • Automation Impact: Number and impact of manual processes automated and analyst hours saved., • Dashboard Reliability: Accuracy and timeliness of KPI dashboards and reports delivered., • Data Integrity: Minimizing discrepancies between PSS, RMS, and BI reporting. Viladecans, Barcelona • Staff travel Enjoy discounted flights with LEVEL. Explore the world at more affordable prices., • Flex Benefits There are flexible benefits available for services like meals, transport, childcare, trainings, and Health Insurance., • Employee Cafeteria & Canteen Start your day right with a delicious breakfast, grab a quick snack during breaks, or choose from a variety of enticing menu options in our employee cafeteria and canteen at special prices!, • Gym Discount As an employee, you will have access to a special discount on the gym membership. This will allow you to enjoy facilities, fitness classes, consult with a professional nutritionist, and much more! #J-18808-Ljbffr

This role welcomes an hybrid work arrangement,applicants must be based in Spain or France or Italy and have a work permit to be considered.The Team & the Pods organizationWe are a team of passionate engineers distributed across the world, always eager to learn new things. We are building state-of-the-art modern applications and scale it on the cloud. We innovate to solve customers problems, focusing on high-performance implementations without neglecting the user experience.We recently moved our Product and Tech teams to a pod model:A pod is a small group, 1 to 4 people, that owns a single mission end to end: from scoping and building through cleaning, enablement and watching adoption. Pods form around a mission and dissolve when it's done. Everyone is a pod owner, from the most junior person to the most senior, because ownership is the point.Your domain is your product-area home, the part of our software suite you know best. Pods change with every mission; your craft and your domain don't.The roleWe are looking for a Software Development Engineer to shape Discover, the part of our software suite where brands monitor their presence and their competitors' presence, analyse and benchmark their performance and uncover what's driving it.Among monitoring and reporting features, we're currently bringing to life many AI-led features and advanced analytics capabilities that allow our customers to see how their brand is performing across media, influencers, celebrities and more, with Media Impact Value (MIV) at its heart.This role plays a key part in our Tech & Product strategy, directly supporting company-wide objectives around customer retention, data trust, and the development of new AI-based insights.What you'll doContribute to building new features from initial architecture choices to the marketable product impulsing innovative solutions and the most recent technologiesCollaborate with team members to maintain and improve existing features by fixing defects and doing continuous refactors to modernize the technical stack and reduce the overall architecture complexityAct as a Frontend expert, leveraging deep expertise in React and Redux, to guide the team with valuable insights, improvements, and suggestions on best practices regarding frontend codeArchitect efficient database schemas for new implementations or contribute to improve existing onesWork closely with product management, designers and QA to define user requirements and translating them into reliable, intuitive featuresEvangelize code quality through writing well-architected, structured code, unit tests, while following best industry practicesBe a driver of AI-led improvements across our tech stack, documentation, tooling, and organizationRefactor, optimize and constantly drive for improved efficiency and code health and reduced complexityTechnical StackLanguages: TypeScript, Python, JavaDatabase & Data Platform: Databricks, MySQL, RedisCloud providers: AmazonMain AWS technologies: Lambda, Docker on ECS/Fargate, Step functions, Kinesis, SQS, SNS, S3Tools: Jira, Sentry, VSCode, ...Versioning tool: Git, GithubCI/CD: Github actions, JenkinsTesting: Jest, React Testing LibraryWhat we're looking forEngineer Degree - Master Degree in Computer Science and a minimum of 2 years of relevant work experience in full-stack developments in a SaaS environment with Agile methodologiesExperience with, or strong interest in, AI-assisted development workflows (e.G. Claude, GitHub Copilot) to accelerate coding, testing, and code reviewStrong expertise with ReactExperience building a RESTful API, or even better, a GraphQL APIExperience working with modern data platforms (e.G. Databricks, Spark, Delta Lake) for building and optimizing data pipelines, or similar experience with search engines like ElasticSearchGood understanding of data modeling, performance tuning, and lifecycle management (partitioning, indexing/clustering, schema evolution) in large-scale distributed data systemsBright, energetic, highly motivated self-starter with experience in a fast-paced, results-oriented organizationAbility to adapt, estimate workload, break down a task into logical steps, solve problems, self-improve and suggest new ways of improvementYou care about the long-term maintainability of the codebase and advocate for refactoring and clean-ups when appropriateLast, but definitely not least: you speak, read, and write English fluentlyHow we hireIntro call with Talent Acquisition, to get to know each other (30 min).Meet & Greet with VP Software Development.Technical Interview, a live interview with a couple of Software Engineers.Team fit with the engineers and peers you'd build alongside.About LaunchmetricsLaunchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle and Beauty (FLB) executives to make smarter decisions around their branding efforts.With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences.Founded in NYC and with operating headquarters in Paris, we have employees in ten markets worldwide and offer support in five languages. We have been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as industry partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana.Why you'll love it hereWe're a company that puts people first, with a relaxed but genuinely dynamic atmosphere and a team of motivated, curious people who like their work. Autonomy is real here: pods make local decisions and own their outcomes, which means you'll see your fingerprints on the product quickly.You’ll get a learning and development allowance, a benefits package tailored to your location, flexible working arrangements with support to set up your home office, and the room to grow along whichever path fits you. We’re remote-friendly, with hubs across our twelve markets.OUR COMMITMENTLaunchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know.#J-18808-Ljbffr

Responsibilities Hands‑on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations. Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks‑focused role. Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions. Strong Python and SQL; experience packaging libraries and working with notebooks and repos. Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred. Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT. Experience implementing DevOps automation and runbooks; comfort with RESTAPIs and Databricks CLI. Git and GitHub proficiency; code review and branching strategies. Seniority Level Associate Employment Type Contract Job Function Consulting Industries Banking #J-18808-Ljbffr

Appodeal is a dynamic US-based product company with a truly global presence.We have offices in Warsaw, Barcelona and Parkland (FL) along with remote team members located around the world.Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!We take pride in our cutting‑edge product and our internationally dispersed team of talented professionals.Here’s what we value, and what we hope you do too:Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.Making an Impact: We are committed to building a history‑defining company that leaves a lasting impact on the mobile app industry.Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world‑class professionals and mentors.Enjoying the Journey: We believe in having fun while working toward our goals.We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real‑time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.Responsibilities:Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.Support data scientists in developing and maintaining end‑to‑end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.Requirements:3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).Hands‑on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud‑based ML platform.Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.Familiarity with real‑time model inference systems and ensuring compatibility with downstream services.Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.Good understanding of Docker containers, Kubernetes, and basic networking concepts.Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.Nice to have:Exposure to very high‑load, low‑latency ML inference environments.Knowledge of distributed or large‑scale ML training frameworks and multi‑GPU setups.Familiarity with Databricks Asset Bundles.Understanding of ONNX or other portable model serialization formats.Ability to work with Rust programming language.Familiarity with transformer architectures, encoder‑decoder models, or sequence modeling approaches.Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.Experience with MinIO or other S3‑compatible storage systems.Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low‑latency scenarios.Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).This position supposes relocation to Barcelona and work from our office in the city center.Why Join Us:Opportunity to work on cutting‑edge projects with a global impact in the mobile app industry.A collaborative and inclusive work culture that values innovation and continuous learning.Competitive salary, flexible work arrangements, and a comprehensive benefits package.Professional development opportunities and career growth prospects within a fast‑growing company.With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.Join us and help shape the future of mobile app success!#J-18808-Ljbffr

Who Are We? You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich’s local and global business units. We specialise in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich’s strategic goals and enhance operational efficiency through innovative technology solutions. If you’re considering a role with us, know that you’ll be joining a hub of technological excellence dedicated to driving Zurich’s success on a global scale. What Can You Expect? Own and evolve the Databricks platform that underpins the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency. Design, build, and maintain data ingestion frameworks supporting batch, streaming, API, and CDC data integration patterns across multiple source systems. Develop and manage Delta Live Tables (DLT) pipelines, implementing data quality controls, expectations, schema enforcement, and change data capture processes. Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations. Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management. Build, deploy, and support Databricks Workflows for orchestration of complex multi-task pipelines, dependency management, retries, and event-driven processing. Establish and maintain CI/CD pipelines using Git-based development practices and Databricks Asset Bundles to promote code across development, testing, and production environments. Collaborate with cloud and infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK. Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation processes. Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools. Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure. Ensure platform security through the implementation of PrivateLink, VPC endpoints, row-level security, and column-level security controls. Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform. Drive platform best practices, technical standards, automation, and continuous improvement initiatives across the data ecosystem. What Makes You a Great Fit?5-8 years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture. Minimum 3 years of hands-on experience owning and managing Databricks platforms in enterprise environments. Strong expertise in Databricks services, including Unity Catalog, Delta Lake, Delta Live Tables, Workflows, and Asset Bundles. Proven experience designing and supporting batch, streaming, API, and CDC data ingestion frameworks. Advanced proficiency in PySpark, Python, and Databricks SQL for scalable data pipeline development. Solid knowledge of DevOps practices, including Git-based development, CI/CD pipelines, automated testing, and Infrastructure as Code (CloudFormation or CDK). Strong AWS experience covering S3, IAM, networking, security controls, and secrets management. Experience working with large-scale data platforms in regulated industries; financial services experience is highly desirable. Preferred: Databricks and/or AWS certifications. Experience with Airflow, Kafka/MSK, and enterprise data governance frameworks. What Makes Us Special? As well as a competitive salary and a yearly bonus, we offer: To support your work-life balance, we have adopted a flexible working model. Option to work abroad up to 25 days yearly. Over 300 euros to set up your home office and additional monthly home office allowance. Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs. Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits. Life and accident insurance. Collective Life retirement Plan 2000 referral bonus if you bring other talented people like you to the company to the company. Special banking and insurance conditions plus Exclusive Employees discounts. Functional diversity benefits. Stock options and mortgage benefits. Where Are We Located? Barcelona, Poblenou. Zurich Technology Delivery Center – Your Talent, Our Strength At Zurich, we are an equal opportunity employer. We attract and retain the best‑qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. Location(s): ES - Barcelona Schedule: Full Time Recruiter name: Alvaro Gallego Zazo #J-18808-Ljbffr

Software Engineer - Data | Data Mesh & Lakehouse About the Role We are looking for a Software Engineer - Data to join a central Data Delivery team building the foundation of a global Data Mesh platform based on a Lakehouse architecture . You will work on the engineering layer responsible for ingesting, processing and provisioning source-aligned data products into central data catalogs, enabling teams across the organisation to consume trusted data for analytics, reporting, machine learning and other data-driven applications. A key part of the platform is enabling scalable data consumption through zero-copy data sharing , while maintaining strong governance, security and data quality standards. What You'll Be Working On Design and build scalable batch and streaming data pipelines . Develop ingestion solutions for source-aligned data products. Work with Apache Spark and Databricks within a modern Lakehouse environment. Implement data ingestion strategies including Full Loads, Delta Loads and Change Data Capture (CDC) . Build and maintain streaming pipelines using technologies such as Kafka, Flink or Confluent . Manage datasets stored across Google Cloud Storage and Azure Blob Storage . Enable secure zero-copy data sharing through technologies such as Databricks Unity Catalog and BigQuery. Implement data governance and access-control models including RBAC and attribute-based access control . Design solutions capable of handling complex schema evolution , including backward and forward compatibility. Tech Environment Data & Processing: Apache Spark, Databricks, BigQuery Streaming & Ingestion: Kafka, Flink, Confluent, Airbyte Cloud & Storage: GCP, Google Cloud Storage, Azure, Azure Blob Storage Orchestration & Platform: Airflow, Kubernetes Governance: Databricks Unity Catalog, RBAC, ABAC/CBAC, Data Contracts CI/CD: GitLab, Azure DevOps, JFrog Artifactory Quality & Security: SonarQube, Snyk What We're Looking For Strong professional experience in Data Engineering or Software Engineering focused on data platforms . Hands-on experience with Databricks and Apache Spark . Experience designing distributed data pipelines in cloud environments. Strong understanding of Lakehouse architectures . Experience or strong knowledge of Data Mesh principles and Data Products . Experience with batch and streaming ingestion patterns. Knowledge of CDC and incremental data processing strategies . Experience dealing with schema evolution in production data pipelines. Understanding of modern data governance and access-control models . Experience with Airflow, Kubernetes and CI/CD . xhfqzwm Comfortable working collaboratively through code reviews and technical design discussions. ¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles a continuación y presente su candidatura hoy mismo.

Overview En K-LAGAN te estamos esperando para continuar creciendo juntos! Somos una empresa estratégica internacional de servicios tecnológicos, comprometida esencialmente con su equipo y con la sociedad. Ofrecemos soluciones en servicios IT, desarrollos de ingeniería, de electrónica, y proyectos de I+D. Nuestro compromiso es contratar a los mejores talentos independientemente de su raza, religión, sexo, edad y personas con otras capacidades, promoviendo su desarrollo profesional y personal. Estamos buscando un/a Data Culture & AI Adoption Manager para liderar la estrategia de despliegue de cultura de datos en un entorno global y descentralizado, trabajando directamente con equipos de Data & AI para impulsar la alfabetización en datos e inteligencia artificial en toda la organización. Responsibilities Diseñar e implementar una estrategia global de cultura de datos y AI. Definir y desplegar roadmaps de formación segmentados por colectivos. Refinar el modelo operativo descentralizado (TOM). Desarrollar planes de comunicación globales y metodologías para compartir progresos con equipos locales y con la alta dirección. Diseñar presentaciones ejecutivas claras y atractivas para comunicar planes, avances y logros. Identificar y coordinar reportes clave desde el punto de vista central para el despliegue de la estrategia. Experiencia en despliegue de estrategias de cultura de datos en entornos internacionales. Experiencia en desarrollo de roadmaps, modelos operativos y comunicación ejecutiva. Dominio de PowerPoint para diseñar presentaciones de alto impacto. Experiencia en diseño y despliegue de journeys formativos y comunicaciones globales. Inglés fluido (imprescindible). Sólida experiencia en gestión del cambio (modelo ADKAR). Experiencia en Project Management y en storytelling. Conocimiento en analítica de datos. Valorables Experiencia en Agility coaching. Uso de Power BI para seguimiento de reportes y dashboards. Conocimiento de entornos Azure Delta Lake. Qué ofrecemos en K-LAGAN Contrato indefinido y proyecto estable Proyecto internacional con equipos multiculturales Seguimiento técnico y acompañamiento continuo Formación continua y desarrollo profesional Día libre en tu cumpleaños Eventos, team buildings y más Si tienes pasión por impulsar la cultura de datos, el cambio organizacional y la alfabetización en inteligencia artificial, ¡este proyecto es para ti!¡Aplica ahora y acompáñanos en la transformación hacia una empresa data-driven!#J-18808-Ljbffr

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.We are currently looking for a Senior AI Engineer to join us remotely in Spain. As our first hire in this geography, you could play a pivotal role in, potentially, setting up a physical hub in Spain. We currently serve our customers from our delivery hub in Budapest (Hungary) and through our remote consultants in the UK, but we’re considering expanding the team internationally with a 2nd delivery hub in EMEA. You will work with our EMEA and US customers to help them solve their data architecture, ML, Generative AI, MLOps and cloud migration puzzles.What will you do?As our first AI Engineer in Spain, you’ll lead engagements to help our customers build and productionize tailored AI applications in the Databricks platform, using the latest technologies to deliver business impact for our top clients. You’ll own the technical delivery of AI solutions, whether you’re working solo as an AI Engineer or heading up a delivery team.Your responsibilities will span across the following dimensions:Project Planning & DeliveryTechnical Architecture: Lead the technical scoping, design high-level architectures, and define the roadmap for AI and Generative AI solutions; Execution & Leadership: Take ownership - either delivering the project independently or acting as the Technical Lead for a team of engineers; Customer Interface: Serve as the primary technical contact for our customers, ensuring the systems you build solve their specific business challenges; Strategic Advisory: Between active project cycles, act as a senior technical advisor for our EMEA customers and Databricks partners to navigate complex Generative AI and traditional Machine Learning challenges.AI & Platform ConsultancyProduction-Grade Solutions: Build robust and scalable solution architectures that leverage the latest technologies; Enablement: Lead technical workshops to empower client teams, ensuring they have the expertise to manage and scale the AI platforms you help them deploy.What does it take to fit the bill?Technical ExpertiseYou have 5+ years of experience in AI or Machine Learning Engineering with a focus on cloud platforms (AWS, Azure, GCP); You are proficient in MLOps using MLflow - taking models from local environments to fully automated, monitored production pipelines; You have experience building production systems in Databricks or in a comparable enterprise cloud environment, utilizing PySpark, SQL, Delta Lake, and Unity Catalog (or similar enterprise governance); You have a good understanding of Large Language Models (LLMs) and experience implementing them using modern frameworks and libraries; You have strong Python knowledge of the most common Data Science and ML libraries; You have good knowledge of data visualization tools/libraries; [BONUS]: Proficiency in deep learning frameworks (PyTorch/TensorFlow) or distributed computing (Spark).Consulting & Client-Facing SkillsIdeally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that’s also fine as long as you can show a good consulting mindset and desire to be customer-facing; You’vesuccessfully delivered projects like end-to-end, fully automated ML solutions, or production-ready Generative AI applications in Databricks or in a comparable enterprise cloud environment; You excel inexplaining technical concepts to non-technical audiences and drive decision-making.Operational Readiness & Soft SkillsYou’re (almost) ready to hit the ground running, immediately contributing to live client projects; In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry; Your communication skills are on point—whether you’re writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop.We know that the perfect candidate doesn’t always check every single box. If you’re excited about this role and have the foundational skills we’re looking for, we encourage you to apply anyway.What do we offer?You’ll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography.Here is a list of some other extras we offer:The chance to work remotely - as we don’t have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we’d expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter; World‑class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you’ll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we’ll pay for various data & cloud certifications, you’ll get dedicated time for learning during work hours, and access to our internal library; Flexible PTOdays - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done; Fully paid Medical Leave for up to 15 days per year - because when you’re unwell, we want you to focus on recovery and not worry about your paycheck; Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.Com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain; Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we’d like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person; Top‑notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign‑up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best; The chance to make an impact in a high‑transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you’ll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.IMPORTANT NOTE:Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we’re also committed to growing it with us over time.The gross salary for this position ranges from 75.000 to 85.000 EUR/year, depending on your assessed seniority level during the selection process.Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain.Want to know more about us?DATAPAODATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk‑Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T‑Mobile, GE, Ericsson, and many more to improve their impact with data.We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don’t tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we’d love to hear back from you.And we hear back, we’d like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application.If you want to find out more, you can always follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com.#J-18808-Ljbffr

Accenture is driving a profound transformation of its technology model with a strong strategic focus on Data & AI , and Barcelona has become one of the key locations supporting this global transformation . From our Rotonda office in Barcelona, you will join Accenture’s Data & AI team , working on the design, build, and scale of advanced data‑driven and AI‑based solutions for leading global clients. You will be part of end‑to‑end projects , combining data engineering, cloud architectures, advanced analytics, and generative AI, delivering real business impact across industries such as pharma and life sciences, banking, insurance, consumer goods, and the public sector . Technologies you will work with Within our Data & AI ecosystem, we work with cutting‑edge technologies, including: Cloud & Data Platforms: AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Synapse. Data Engineering & Processing: Spark, Kafka, Airflow, dbt, Delta Lake. Analytics & BI: Power BI, Tableau, Looker, advanced analytics and machine learning models. AI & Generative AI: Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, LLMOps, RAG, intelligent agents. Customer & Marketing Data: Customer Data Platforms (Adobe, Salesforce), Marketing Automation, data activation. You have at least 3 years of experience in these technologies/areas. You will participate in Global Data & AI initiatives for reference clients, including data‑driven modernization programs in major financial institutions, applied AI projects within life sciences and pharma, and advanced analytics and generative AI solutions for public sector organizations and large international companies—many of them recognized as Accenture success stories. Who We Are Looking For We are seeking Data & AI talent across different seniority levels (junior, mid, senior, and lead), with experience or strong interest in any of the areas above, and a strong motivation to grow in an environment where technological innovation is at the core of the business . What You’ll Find At Accenture Cutting‑edge Data & AI projects with international scope Hands‑on work with generative AI, modern architectures, and intelligent solutions A collaborative, multicultural, and innovation‑driven environment Hybrid and flexible work model Continuous learning, official certifications, and access to expert communities A professional growth plan aligned with your technical profile and interests The role is based in Barcelona, under a hybrid working model, combining remote work with on‑site collaboration to foster strong team synergies. Residency in Spain and a valid work permit are required. If you want to be part of the team where Accenture is shaping the future of Data & AI at a global scale, we’d love to meet you. #J-18808-Ljbffr

REVENUE MANAGEMENT SYSTEMS ANALYST at LEVEL, Viladecans, CT, ES LEVEL is a long-haul airline based in Barcelona and part of the IAG group. The company is customer‑centric and places a strong emphasis on values such as commitment, an open attitude, a constant drive for improvement, and making travel easy for their customers. With a focus on providing an exceptional customer experience, LEVEL is committed to delivering top‑notch service and exceeding the expectations of their passengers. Job Purpose The RM Systems Specialist supports the Revenue Management team in the day‑to‑day calibration of the Revenue Management System (RMS), the automation of manual processes, and the development of the KPI framework. This role blends strong data analytics skills with growing expertise in RM systems, enabling the Pricing and Inventory teams to work faster, smarter, and with better data. The RM Systems Specialist reports to the RM Systems, Processes & KPIs Manager. Main Responsibilities 1. RMS Ownership & Technical Strategy System Configuration & Calibration: Support the administration and fine‑tuning of the Revenue Management Systems (AirRM & PROS), assisting with demand forecasting models, influence factors, and optimizer settings. Business Rule Management: Support the implementation and validation of RM business rules, ensuring system configurations align with commercial and operational objectives. Data Integration & Quality Assurance: Validate data flows between the PSS, RMS, and external data sources (e.G., Infare), ensuring data accuracy, integrity, and timely availability for Revenue Management processes. 2. Process Excellence & Business Automation Automation Projects: Design and build automation scripts and tools (SQL, Python, RPA) to eliminate manual, repetitive tasks and free up analyst time for higher‑value work. System Enhancements & Testing: Coordinate and execute functional testing for RM system enhancements, configuration changes, and new releases, ensuring solutions meet business requirements before deployment. Knowledge Management & Best Practices: Develop and maintain the RM knowledge base, documenting system processes and best practices to ensure consistency and facilitate knowledge sharing across the team. 3. KPI Framework & Performance Auditing Dashboard Development: Build and maintain the RM “Health Check” dashboard in Power BI, tracking metrics such as Forecast Accuracy (MAPE), Yield Opportunity Loss, and Spill/Spoilage. Override Analysis: Support “Post‑Mortem” audits on analyst overrides to help measure their value‑add versus the system’s baseline. Data Deep‑Dives: Analyze no‑show trends, cancellation patterns, and denied boarding data to identify revenue opportunities/leakage points. Education Bachelor’s or Master’s degree in a highly quantitative field (Engineering, Data Science, Statistics, Mathematics, or similar). Experience Prior experience as a Data Analyst, BI Analyst, or in a similar quantitative role is required; prior experience in Revenue Management, Pricing, or the airline/travel industry is a plus, but not a must. Competencies System Exposure: Familiarity with RM systems (AirRM, PROS, or similar) and core RM concepts (e.G., EMSRb, Dynamic Pricing) is a plus. Technical Stack: SQL: Solid working knowledge (BigQuery, Snowflake, or SQL Server) for data extraction and analysis. Data Viz: Experience with Power BI or Tableau to build dashboards and automated reports. Coding: Proficiency in Python or R for automation and predictive modeling is highly valued. Analytical Mindset: Comfortable investigating why numbers move and translating findings into clear, actionable recommendations. Communication: Able to work closely with both technical teams and commercial stakeholders. Mindset: Analytical, curious, and driven to continuously learn, with a strong interest in developing expertise in RM and supporting data‑driven decisions. Languages: Fluent in English and Spanish. Other Key Performance Indicators Forecast Accuracy: Contributing to reducing the delta between predicted and actual demand. Automation Impact: Number and impact of manual processes automated and analyst hours saved. Dashboard Reliability: Accuracy and timeliness of KPI dashboards and reports delivered. Data Integrity: Minimizing discrepancies between PSS, RMS, and BI reporting. Location Viladecans, Barcelona Benefits Staff travel Enjoy discounted flights with LEVEL. Explore the world at more affordable prices. Flex Benefits There are flexible benefits available for services like meals, transport, childcare, trainings, and Health Insurance. Employee Cafeteria & Canteen Start your day right with a delicious breakfast, grab a quick snack during breaks, or choose from a variety of enticing menu options in our employee cafeteria and canteen at special prices! Gym Discount As an employee, you will have access to a special discount on the gym membership. This will allow you to enjoy facilities, fitness classes, consult with a professional nutritionist, and much more!#J-18808-Ljbffr

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Font-size: 14px !important; }td.Content-left > p,td.Content-right> p,td.Content-left> ul,td.Content-right > ul,td.Content-left > li,td.Content-right > li {line-height: normal !important; }td.Content-left > ul {padding-bottom: 0 !important; Padding-top: 0!important; }img.Footer-logo {width: 20%; Max-width: 200px !important; }/* END LINDE STYLING CODE */Linde Saude, LDASenior Data Lead (m/f/d)Lisbon or Porto, Portugal or Barcelona, Spain | req27860What you will enjoy doingYou will own the Data Governance and Data Process framework for Homecare Europe, including definition, implementation, and continuous operational management of the Data Platform, ensuring long‑term reliability, compliance, and business continuity across multiple countriesAlso you will lead the execution of multi‑year Data & AI transformation roadmap for Homecare RSW, overseeing prioritization, architecture evolution, and execution across multiple countriesAdditionally you will act as the RSW authority for Data & AI architecture, defining standards adopted across Homecare RSW and influencing global architectural decisionsFurthermore you will drive cross‑functional governance and represent Data & AI in RSW steering committees, ensuring alignment of data strategy with regulatory, clinical, and operational requirementsMoreover you will define the target lakehouse architecture and phased roadmap for onboarding priority sources and delivering governed data products (Databricks-first)You will build initial ingestion and transformation pipelines in Databricks using Python/PySpark and SQL (Delta Lake), including incremental loads, backfills, and performance tuningYou will be able to implement governance and security with Unity Catalog (catalogs/schemas, access controls, lineage) and define PII handling aligned with GDPR and internal policiesEstablish data modeling standards and KPI/semantic layer definitions; deliver curated datasets for Power BI and downstream applications/APIs, including guidance on when to use lakehouse/OLAP versus OLTP, NoSQL and key-value storesIn addition, you will set engineering standards for CI/CD, testing,monitoring, and runbooks; provide knowledgetransfer and handover to internalteamsYou will actively participate in digitalization and task automation process, contributing to the companys evolution towards digital transformationWhat makes you greatYou have 8+ years in data architecture and data engineering delivering enterprise platformsYou have a Master’s degree in Data Science, Computer Engineering, Applied Mathematics, informatics, engineer or a related quantitative or technical field You have 3+ years hands-on Databricks/Spark/Delta in production (lakehouse patterns)You will be able to establishing governance and access controls (Unity Catalog preferred) and handling sensitive/regulated data; familiarity with HL7 v2/ FHIR is a plusYou are experienced in integrating data from Azure-hosted applications and Microsoft SQL; external providers/IoT data is a plusYou have experience leading multi‑country data or digital transformation programs, ideally in a regulated industryYou have demonstrated responsibility for budgets and for managing multidisciplinary teams (direct and indirect)You speak english, you have additional proficiency inFrench, Portuguese, Spanish and/or German is a plusAre you ready to face new challenges and actively contribute to the success of the company's digital transformation projectYou are able to collect, interpret and use data effectively, driving digital transformationWhy you will love working with usAt Linde we identify ourselves with our products – either working for the technical or medical gases business. Being a company with a long tradition in the gases business, we not only care about our customers and high quality products, but most importantly about our employees. While working with us, expect a safe workplace, high safety standards and a true commitment from our managers to safety.What we offer you!At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.This role is a full time position based on an unlimited contract. The standard weekly working hours will be from 08:00 hrs till 17:00 hrs.Have we inspired you? Lets talk about itWe are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market.Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only.Linde acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.

En Newrest, avanzamos gracias a quienes se implican, toman riesgos y tienen ganas de desarrollarse. Únete a un equipo dinámico con una mentalidad emprendedora y deportiva, donde las decisiones se toman rápidamente sin miedo al fracaso. En Newrest, todos contribuyen al crecimiento del Grupo. Aquí, la experiencia práctica es clave: ¡incluso el CEO empuja los trolleys!Acerca de NewrestNewrest, experto en catering fuera del hogar y Facility Management, es uno de los líderes mundiales en catering multisectorial.Impulsado por un espíritu pionero “Unlimited”, el Grupo opera en 53 países con 60,000 empleados.Nuestros servicios abarcan una amplia gama de áreas:catering aéreo, compra a bordo, duty free a bordo, alimentación colectiva, bases y servicios de Facility Management, catering ferroviario, alimentación comercial en aeropuertos y autopistasMás que una empresa, Newrest encarna una familia, con el 97% de su capital en manos de más de 700 empleados.Operaciones en EspañaNúmero de empleados: 1300Actividades principales: catering aéreo y ferroviarioClientes clave: American Airlines, Emirates, Delta, Binter, Air Nostrum, Ouigo, por mencionar sólo algunosTu puesto:Estamos buscando un(a) Responsable del departamento Calidad y Prevención de Riesgos Laborales (M/H)Reportarás a Gerencia de Barcelona y Directora de QHSE EspañaResponsabilidades clave:Implantar el Sistema de Gestión de la Calidad encade uno de los centros de su responsabilidad.Establecer y mantener relaciones con las autoridades propias de su área.Definir e implantar el Plan de limpieza y desinfección de cada uno de los centros.Asegurar el cumplimiento de los requisitos de higiene alimentaria para garantizar la seguridad de los productos elaborados.Verificar y adaptar el plan de seguimiento de la calidad microbiológica y química de las materias primas de cada uno de sus centros.Se ocupará de impartir formación en las áreas de Calidad, Higiene Alimentaria, PRL y Medioambiente en los centros bajo su responsabilidad.Elaborar mensualmente un registro sobre la evolución de las estadísticas de los registros de higiene del centro.Análisis de riesgos y determinación de los PCC del os nuevos productos o sistemas de producción en coordinación con el grupo HACCP.Auditorías de productos y proveedores de ámbito local para asegurar que las condiciones relativas a la compra del producto y su conformidad respondan a las exigencias especificadas por Newrest.Cumplir en todo momento con el sistema de Gestión de calidad y LOPD.Implantar y respetar la política medioambiental de la empresa con responsabilidad sobre su ámbito concreto.Realización y regimiento de la planificación de la acción preventiva.Elaboración y regimiento de estadísticas desiniestralidad e investigación de accidentes.Seguimiento de la vigilancia de la salud y control.Designación y control de los equipos individuales de protección.Seguimiento, control de comités de seguridad y salud.Seguimiento y control de ETT’s prevención.Realización de inspecciones periódicas, con medidas de emergencias, seguridad y control.Desarrollar las actividades y asumir las responsabilidades relacionadas en el Plan de Prevención y en el Sistema de Gestión de la Calidad.#J-18808-Ljbffr

¿Te interesaría seguir desarrollándote como DataOps / Data Engineer en uno de los TOP 10 Hubs Digitales Internacionales en Barcelona, dando servicio a la multinacional líder del sector Retail en Europa? Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa. Buscamos un/a profesional clave para un proyecto de alto impacto enfocado en la activación de datos a gran escala para una de las aplicaciones con mayor volumen de usuarios a nivel mundial (+120 millones de usuarios registrados y activos en más de 30 países). Desde Oxigent Technologies seleccionamos este perfil para incorporarse a un entorno técnico de vanguardia (State of the Art), organizado en squads y tribus (modelo Spotify), donde serás la pieza fundamental para garantizar la estabilidad, observabilidad y continuidad de la plataforma global de datos. Serás el punto de referencia para garantizar la estabilidad y rendimiento de la infraestructura de datos del hub. Liderarás el soporte técnico de alto nivel (N2/N3), la resolución de incidencias (troubleshooting pesado en entornos distribuidos) y el mantenimiento de la arquitectura CI/CD para asegurar la activación rápida, segura y confiable de los datos de la app. Funciones principales: • Soporte y Canalización (Jira): Gestionar el ciclo de vida de incidencias N2/N3 reportadas por los consumidores de datos (bugs, soporte operativo, consultas complejas y problemas de rendimiento)., • Resolución de errores (Troubleshooting): Diagnosticar y corregir fallos en la ejecución de procesos masivos en PySpark y flujos de datos sobre Azure Databricks., • Arquitectura Medallion e Ingesta: Trabajar en la depuración y tratamiento de datos desde la capa Landing/Bronze hasta la estructuración en la capa Silver (gestión de JSONs, CSVs y corrección de datos corruptos)., • Monitoreo y Observabilidad: Implementar y mejorar dashboards en Grafana para detectar proactivamente fallos en las cargas distribuidas y pipelines., • Mantenimiento CI/CD & DataOps: Diseñar, automatizar y mantener los pipelines de despliegue continuo en Azure DevOps (y colaboración en la migración progresiva hacia GitLab CI)., • Gestión de dependencias: Administrar el empaquetado, versionado y distribución de la librería común de ingesta del equipo utilizando Poetry. Requisitos indispensables (Must Have): • Experiencia: Mínimo 3-4 años en roles de DataOps, Data Support L2/L3 o Data Engineering orientado a producción., • Core Data Stack: Dominio de Python, SQL y experiencia sólida en computación distribuida con Apache Spark / PySpark sobre Databricks., • Arquitectura de Datos: Experiencia práctica en entornos Delta Lake / Medallion Architecture., • Ecosistema CI/CD & DevOps: Experiencia real en la automatización de despliegues mediante Azure DevOps (o GitLab CI / GitHub Actions) y manejo fluido de Git., • Observabilidad & Herramientas: Experiencia utilizando Grafana (o Kibana) para monitoreo de plataformas y gestión de tickets mediante Jira / Confluence., • Idiomas: Inglés C1 avanzado / fluido (imprescindible para debates técnicos y trabajo diario con equipos internacionales que operan exclusivamente en inglés) + Castellano (muy valorable catalán). Requisitos valorables (Nice to Have): • Gestión de dependencias y empaquetado de librerías Python utilizando Poetry., • Conocimientos en ecosistemas Cloud adicionales (GCP) o migraciones de infraestructura., • Formación académica en Ingeniería Informática, Estadística, Matemáticas o similar. Ofrecemos: • Contratación indefinida., • Salario: Banda salarial competitiva en función de la experiencia., • Cultura y Entorno: Metodología Full Agile, jerarquía plana, espíritu colaborativo y tecnología State of the Art., • Modelo de trabajo híbrido: 2 días presenciales en la oficina del hub (en el corazón de Barcelona, Plaza Catalunya) / 3 días de teletrabajo a la semana., • Flexibilidad horaria: Jornada intensiva todos los viernes del año y durante los meses de verano, • Cheque Formación para desarrollarte en las áreas profesionales que más te interesen., • Seguro médico privado., • Retribución flexible aplicable a seguro médico, restaurante, transporte y guardería., • Suscripción / acceso a red de gimnasios e instalaciones deportivas (Wellhub)., • Plan de pensiones con aportación empresarial complementaria., • ¡Y muchos otros beneficios! ¡Únete al equipo de Oxigent! xqziphu Empresa comprometida con la sostenibilidad y la igualdad de oportunidades, donde el talento y la tecnología no entienden de género.

¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las necesidades reales del negocio, trabajando sobre ecosistemas Microsoft para garantizar fiabilidad, integración y capacidad de evolución. En Airplane Solutions buscamos un perfil Senior Azure Data Engineer que se una a nuestro equipo para diseñar, implementar y optimizar soluciones de datos escalables en Microsoft Azure y Microsoft Fabric, liderando desde la ingesta hasta la entrega de insights, incluyendo la gobernanza, seguridad de los datos y la integración de capacidades de IA. Formación: Grado en Ingeniería Informática, Telecomunicaciones, Estadística o similar. Experiencia: +6 años de experiencia realizando funciones similares a las descritas. Tus principales funciones serán: 1. Diseño y orquestación de pipelines de datos Creación, despliegue y monitorización de pipelines en Azure Data Factory y/o Azure Databricks. Estrategias de ingestión batch y streaming (Event Hubs, Azure Stream Analytics). 2. Procesamiento y almacenamiento Modelado y optimización en Azure Synapse Analytics y Azure SQL Data Warehouse. Gestión de grandes volúmenes en Azure Data Lake Storage Gen2 con partición y compresión. Políticas de seguridad y cifrado (en reposo y en tránsito). 3. Azure Data Explorer (ADX) y Kusto Query Language (KQL) Diseño de tablas ADX: ingestión por pipelines, SDKs, Event Grid. KQL avanzado: consultas exploratorias, agregaciones, series temporales. Funciones y políticas: parsejson, mv-expand, estimatedstatistics, update policies. Integración: Power BI DirectQuery y dashboards nativos ADX. Monitorización: ajuste de clústeres, escalado y análisis de costes con Azure Monitor. 4. Microsoft Fabric Lakehouse & Warehouse: unificación de Data Lake y Synapse en un entorno integrado. Pipelines en Fabric: orquestación con Data Factory en Fabric, notebooks de Spark en Spark Compute. Data Engineering en Fabric: Spark SQL, PySpark y C# en Notebooks; optimización con Delta tables nativas. Governance & Security: Control con Purview integrado, políticas de acceso unificadas y encriptación automática. Fabric Workloads: integración de Data Science (ML), Power BI en Fabric, Data Activator para eventos en tiempo real. 5. Integración y desarrollo Transformaciones avanzadas con Apache Spark (PySpark/Scala) en Databricks o Fabric Spark Compute. Azure Functions y .NET para microservicios data-driven. IaC con Terraform, Bicep o ARM Templates. 6. Business Intelligence y visualización Dashboards en Power BI sobre Fabric o Synapse, DAX avanzado, DirectQuery/Composite Models. DataOps y MLOps: CI/CD para pipelines, despliegues automáticos con Azure DevOps. Requerimientos: +4 años en Data Engineering sobre Azure y Fabric. DP-203 skills: almacenamiento, procesamiento y continuidad operativa. SQL avanzado, Python (pandas, PySpark) y/o Scala. AKS y contenedores. Inglés técnico fluido (B2)¿Qué ofrecemos? Proyecto estable con contrato indefinido. Salario acorde a la experiencia y los conocimientos que aportas. Modalidad de trabajo híbrida, nos adaptamos a tus necesidades y a las del proyecto. Flexibilidad horaria, solo tienes que coordinarte con tu equipo. Viernes y agosto jornada intensiva. 23 días de vacaciones + 2 flexidays. Día de cumpleaños libre para que lo disfrutes como quieras. Certificaciones oficiales de Microsoft, apostamos por tu formación y crecimiento. Eventos y Teambuildings para desconectar y compartir momentos con el equipo. Un ambiente de trabajo basado en la confianza y la corresponsabilidad de todo el equipo. Beneficios: Seguro médico y dental para que te centres en lo importante: tu bienestar. Ticket restaurante a cargo de la empresa. Ayuda para la formación en inglés o bienestar físico. Retribución flexible: puedes repartir parte de tu salario en productos o servicios con exención fiscal. Profesionales, Cercanos, Curiosos, Talentosos, Diversos, por eso buscamos atraer al mejor talento para que se una a nuestro equipo. Las investigaciones han demostrado que las mujeres son menos propensas que los hombres a postularse para un puesto si no tienen una experiencia sólida en el 100% de lo que se busca en las ofertas de empleo. En Airplane creemos que la diversidad de género en el equipo, al incluir diferentes perspectivas y experiencias, nos permite innovar y encontrar soluciones más creativas y eficientes. Así que, incluso si crees que solo tienes un 75% de coincidencia, no dudes en participar en el proceso, porque las habilidades se pueden aprender, la diversidad no. #J-18808-Ljbffr

Join our Movement and Champion Restaurant Culture! At TheFork we believe that the best things in life happen around the table, and we are on a mission to connect the world’s favorite restaurants and the broadest community of loyal diners. Finding The Best Dining Experience For Our Diners Community Or Boosting Restaurant Performance For Our Restaurateurs Partners Has Never Been Easier Thanks To Our Signature Products • TheFork App: our free restaurant discovery & booking app that helps you find your next table with ease., • TheFork Manager: our innovative software tool that digitizes restaurant operations, empowering our Restaurateurs to manage bookings efficiently and boost their revenue., • TheFork PAY and TheFork Gift Card: quick and easy ways to pay directly from TheFork app At TheFork, we also believe that people truly make the difference. None of this would be possible without our vibrant Forkies community. Our strong core values—Better Together, Ownership, Respect, and Growth—are the guiding principles of everything we do, shaping our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable”. TheFork leads the restaurant booking market in Europe and operates in 11 countries. Our offices boast a fully international team working together in a flexible, multicultural, and constructive environment that provides everyone with space to grow, both professionally and personally. To learn more about TheFork and our Forkies, explore our official site: https://www.careers.thefork.com We are on a journey to revolutionize our data capabilities through the modernization of our Data Platform, unlocking insights and innovations that will power the company’s future. We’re looking for a Senior Data Engineering Manager who can lead and inspire teams to drive the future of data in our company. If you’re passionate about leading from the front and pushing boundaries, join us on this journey. You will lead 2 teams composed of Data Engineers and Data Ops to implement and maintain best practices in data processing, according to the Data Lakehouse approach. You will work closely with Data Governance, Product Management and Architects to drive platform improvements and support the ever evolving needs of data and engineering teams. • Own the data platform roadmaps, • Enhance and maintain robust batch ingestion and validation pipelines., • Participate in our data transformation program taking direct ownership of the creation of a self-service data platform and contributing to the implementation of data governance principles., • Collaborate with engineering teams to implement engineering best practices within the data ecosystem., • Lead by example, fostering a culture of excellence and continuous improvement within the data engineering team, ensuring collaboration and alignment with broader business and product objectives, • Mentor and upskill team members, • Contribute to system architecture designs with Architects., • Coordinate and run Proofs of Concept (POCs). You will directly report to the Head of the tribe. • Proven leadership and mentorship experience guiding data engineering teams., • Extensive experience with Data Lakehouse architectures and implementation., • Solid understanding of Data Mesh, including domain ownership, federated governance, and data product design., • Solid understanding of Data Governance and Quality, covering metadata management, data lineage, and data observability in general., • Proven experience using AWS services and familiar with infrastructure as code (Terraform)., • Proficiency in Python, SQL, Snowflake and Airflow., • Experience with data modeling and knowledge of medallion architecture., • Experience with Apache Iceberg and Delta Lake., • Realtime data processing at scale., • An awesome team, • A permanent contract (that can be useful in life), • Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely), • Competitive fixed salary & bonus, • Lunch vouchers available for each working day, • International teams and a multicultural environment spanning 10 offices across Europe, • Highly inclusive working environment, • Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc, • Continuous learning and development programs, • Free access to the Calm app to help you build resilience wherever you are in your mental health journey, • Dedicated parental leave and caregiver leave policies (12 weeks fully paid), • Health insurance, • Life & Disability Insurance at no cost to the employee, • Amazing offices with dining, a coffee point on each floor, and leisure area, • Team building events We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great. TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly #J-18808-Ljbffr

Graph Engineer We are seeking a hands-on Graph Engineer (primarily using Stardog) to design, build, and operate knowledge graph solutions that turn complex, siloed data into a connected, queryable asset for our life science clients. In this role, you will work closely with the Knowledge Management team and client stakeholders to translate data models and business questions into robust, production-grade graph infrastructure. Acting as a technical specialist internally and externally, you will build and maintain Stardog-based knowledge graphs, integrate diverse data sources through modern data engineering pipelines, and ensure the ontologies and data models underpinning our graphs are sound, scalable, and maintainable. You bring strong hands-on experience with Stardog and data engineering, a solid understanding of ontology management concepts (RDF/OWL), and a pragmatic engineering mindset. Experience with Databricks, or in life science IT and regulated environments, is a plus and will be considered a strong asset. • 1. Knowledge Graph Engineering with Stardog, • Design, build, deploy, and operate knowledge graphs on Stardog, including data modeling, virtual graphs, and reasoning configuration, • Create and maintain Stardog virtual graphs, connecting relational and external data sources to the knowledge graph without physical replication, • Design, write, and maintain SMS (Stardog Mapping Syntax) mappings to translate source schemas into RDF, ensuring accuracy, performance, and maintainability, • Write and optimize SPARQL queries and Stardog-specific tooling (Stardog Studio, CLI, APIs) for data loading, validation, and troubleshooting, • Configure and maintain Stardog security, performance, and scalability settings for production workloads, • Monitor, tune, and troubleshoot graph database performance across ingestion, reasoning, and query layers, • 2. Data Engineering & Integration, • Design and implement data pipelines to ingest, transform, and map source data (relational, document, file-based) into RDF graph structures, • Build and maintain ETL/ELT processes, including source-to-target mapping definitions, data quality checks, and automated testing, • Integrate the knowledge graph with upstream and downstream systems, APIs, and analytics layers, • Apply sound software engineering practices: version control, CI/CD-aware delivery, documentation, and code review, • 3. Ontology & Data Modeling Support, • Apply ontology management concepts (RDF, RDFS, OWL) to implement and maintain data models designed in collaboration with ontologists and business stakeholders, • Support ontology versioning, validation (e.g. SHACL), and alignment across data sources, • Contribute to documentation of data models, mappings, and graph architecture so others can understand, reuse, and build on the work, • Hands-on experience with Stardog (or a comparable enterprise RDF triplestore/graph database), • Solid understanding of Stardog virtual graphs and experience connecting external/relational data sources to a knowledge graph without full data replication, • Practical experience creating and maintaining SMS (Stardog Mapping Syntax) mappings, • Solid experience in data engineering: building and operating data pipelines, ETL/ELT, and data integration, • Good understanding of ontology management concepts, including RDF and OWL, • Comfortable working with SPARQL and graph query optimization, • Independent and reliable, able to take ownership of technical topics and drive them forward, • Pragmatic, focused on what works in real-world production environments rather than theoretical perfection, • Well-organized, documenting your work clearly and digitally so others can understand and reuse it, • Comfortable using AI tools, applying them thoughtfully to improve productivity without over-reliance, • Experience with Azure Stack: ADLSv2, ADF, AKS, etc., • Experience with Databricks (Spark-based data engineering, Delta Lake, notebooks), • Experience in Life Sciences IT, particularly in regulated environments (e.g. GxP, validated systems, data traceability requirements) Mid Fluent English written and spoken. Other languages a plus (especially Spanish) • Hybrid work model and flexible working schedule that would suit night owls and early birds., • 25 holiday days per year., • Attractive social benefits package., • Opportunities for career development and the opportunity to shape the company's future., • An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged., • Different training programs to support your personal and professional development., • Work in a fast growing, international company., • Friendly atmosphere and supportive Management team. This is an opportunity to be at the forefront of the semantic data revolution in life … #J-18808-Ljbffr

¿Eres un experto en la capa de extracción y transformación de datos? La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto. Buscamos un Data Engineer para unirse a nuestro equipo en Barcelona en un modelo híbrido. Te centrarás en el desarrollo y mantenimiento de pipelines ETL/ELT robustos dentro de un entorno Lakehouse. Trabajarás con tecnologías de vanguardia como Databricks (Unity Catalog ) y Spark Declarative Pipelines, formando parte de la creación de una plataforma de datos desde cero. Responsabilidades del puesto Desarrollar, desplegar y mantener pipelines de datos (ETL/ELT) utilizando Databricks y Azure Data Factory. Implementar y optimizar flujos de trabajo con Unity Catalog y Delta Lake Tables. Garantizar la calidad del dato mediante validaciones, monitorización y resolución de incidencias en producción. Colaborar estrechamente con arquitectos y analistas para asegurar la integridad de los modelos de datos y el cumplimiento del roadmap. Must Have Experiencia mínima de 4 años como Data Engineer con foco en entornos cloud (Azure ). Experiencia real y demostrable con Databricks (Unity Catalog , Autologger, Spark, Delta Lake ). Sólidos conocimientos en Python (PySpark), SQL avanzado. Nivel de Inglés Alto Requisitos deseables Conocimientos en tecnologías de streaming de datos y APIs de terceros. Familiaridad con Infrastructure as Code (IaC) y Gobernanza de Datos. Experiencia con Scala o conocimientos de Microsoft Azure Fabric. ¿Por qué unirte a nosotros? 1.200€ al año en formación Seguro médico privado gratuito Retribución flexible en transporte, guardería y tickets restaurante Acceso a +10K gimnasios por toda España en Wellhub (Gymforless) Eventos, team buildings y afterworks cada dos meses Patrocinamos nuestro equipo de fútbol si te animas a jugar Comunidades tecnológicas inTernas para compartir y crecer juntos Sabemos lo importante que es informarte de la empresa, cultura y opiniones de otros profesionales del sector. Por esto, te invitamos a investigar sobre nosotros en Glassdoor. xqziphu ¿Te animas a este gran reto y equipo?

Overview Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible. In this role you will own and evolve Zurich’s Databricks platform to support the Global Finance Data Hub, ensuring scalable, secure, and cost-conscious data solutions. You will build and maintain ingestion and processing pipelines, govern data with Unity Catalog, and implement CI/CD and IaC practices in a collaborative, tech-driven environment. You’ll work with cross-functional teams to deliver a robust enterprise data platform that accelerates Zurich’s data strategy and operational efficiency. This is a chance to shape a world-class data foundation within a global insurer. Compensaciones / Beneficios • flexible working model, • abroad up to 25 days yearly, • home office allowance, • wide trainings including language classes, • health insurance, • life and retirement plans Responsabilidades • Own and evolve the Databricks platform underpinning the Global Finance Data Hub with focus on scalability, reliability, security, and cost efficiency, • Design, build, and maintain data ingestion frameworks for batch, streaming, API, and CDC across multiple sources, • Develop and manage Delta Live Tables pipelines with data quality, schema enforcement, and CDC, • Administer and optimize Delta Lake environments (performance, schema evolution, time travel, VACUUM, OPTIMIZE), • Implement Unity Catalog governance (access controls, lineage, classification, namespaces), • Build, deploy, and support Databricks Workflows for complex pipelines and event-driven processing, • Establish CI/CD pipelines using Git and Databricks Asset Bundles across dev/test/prod, • Collaborate with cloud/infrastructure teams on IaC using CloudFormation or CDK, • Manage authentication/authorization (IAM roles, profiles, service principals, secrets), • Monitor platform health and costs with Databricks system tables, CloudWatch, Grafana, • Define cluster policies, compute strategies, and DBU governance for optimization, • Ensure security (PrivateLink, VPC endpoints, row/column security), • Partner with data engineering, finance, architecture, and product teams to deliver scalable data platform, • Drive best practices, automation, and continuous improvement across the data ecosystem Requisitos principales • 5-8 years in Data Engineering/Platform Engineering/Cloud Data Architecture, • Minimum 3 years owning and managing Databricks platforms in enterprise xqziphu environments, • Strong expertise in Databricks services (Unity Catalog, Delta Lake, Delta Live Tables, Workflows, Asset Bundles), • Experience designing/supporting batch, streaming, API, and CDC data ingestion frameworks, • Advanced PySpark, Python, and Databricks SQL for scalable pipelines, • DevOps practices including Git, CI/CD, automated testing, and IaC (CloudFormation or CDK), • AWS experience (S3, IAM, networking, security, secrets), • Experience with large-scale data platforms in regulated industries; financial services desirable, • Preferred: Databricks/AWS certifications; Airflow, Kafka/MSK; data governance frameworks, • collaboration, • effective communication, • problem-solving, • Databricks Unity Catalog, • Delta Lake, • Delta Live Tables

Zurich Insurance Group's Technology Delivery Center in Barcelona seeks a data platform engineer to own and evolve our Databricks-based data hub. You will design and operate Delta Lake pipelines, Delta Live Tables, and Unity Catalog governance while partnering with cloud and infrastructure teams to implement IaC using AWS CDK/CDK.The role offers a competitive salary, yearly bonus, flexible working model, and opportunities for international collaboration across Zurich's global units.#J-18808-Ljbffr

Hello! ðAt Factorial we're looking for a new CX Business Planning & Analytics Associate to help us support and scale our CX team to the next level. We're looking for someone who is genuinely good with numbers. You'll own the analysis of financial movements, forecasting and target setting for Factorial's Customer Experience organisation About the team ðOur Customer Experience team is the voice that guides our users every step of the way, making sure they always get the most out of Factorial. If you’re passionate about people and love turning a challenge into a great experience, you’ll fit right in. What you'll do ðMRR & revenue movements — Track and analyse churn, contraction, expansion and net revenue retention across the CX portfolio. Explain the why behind every movement, not just the delta. Planning & target setting — Sit at the centre of the CX planning cycle. Build the models that turn company goals into team-level and individual-level targets that hold up under scrutiny. Trend analysis & insights — Find the patterns in historical data that nobody asked about yet, and bring them forward. Executive storytelling — Build the slide decks for All Hands and management reviews. Dense with data, clean to look at, obvious what to do next. What are we looking for? ðNon-negotiable: Advanced Excel / Google Sheets. Comfortable building a model from scratch, structuring messy data, and working with pivots, index/match, nested logic and scenario analysis without help. Numerical reasoning. You can be handed a dataset with no context and independently work out what question it answers. Logical, structured thinking. You break ambiguous problems into parts, work through them in order, and can defend your reasoning. Clear communication in English. Written and verbal. You can explain a model to someone who has never opened it. Strongly valued:1+ year in a role where numbers were the core of the job — FP&A, financial analysis, business analytics, Rev Ops, consulting, audit, banking, pricing, or similar. SQL — even at a basic level. You'll learn it here if you don't have it, but arriving with it helps. Strong slide-building skills. Executive-ready, data-rich, visually clean. Comfort with AI tools (Claude, Gemini) as part of daily workflow. Spanish: Minimum B2 level required. Perks of being part of Factorial ðHigh growth, multicultural and friendly environment ðHealthy life with Wellhub (Gyms, pools, outdoor classes) ðºð»Save expenses with CobeeðLanguage classes ðð»ð«Breakfast in the office and organic fruit ðFood discounts with Nora ðPet Friendly ðMuch more that we'll spill during the interview process About Factorial ðAt Factorial, we’re building the leading AI Business Management Software for companies of all sizes. Our platform centralizes key workflows across HR, Finance, Talent, Operations, and IT, freeing teams from manual processes so they can focus on what really matters: leading, growing, and taking care of their people. With over 1,500 employees across Europe, Asia, Africa, and America. We are one of Europe’s fastest-growing Saa S companies, proudly headquartered in Barcelona. If you're excited to shape the future of business management technology, we’d love to meet you. We believe in diverse talent: we welcome applicants from all backgrounds and strongly encourage people of diverse experiences and identities to apply. We believe in inclusion: we are committed to equal opportunities and actively promote workplace inclusion of people with disabilities. If you would like to learn more about our inclusive recruitment processes, you are welcome to indicate so optionally and we will share additional information with you. Our values ð«We own it: We take responsibility for every project. We make decisions, not excuses. We learn and teach: We're dedicated to learning something new every day and, above all, share it. We partner: Every decision is a team decision. We trust each other. We grow fast: We act fast. We think that the worst mistake is not learning from them. Want to learn more about us? Check our website!

Job DescriptionAgilent is building a Kubernetes-based software platform spanning instruments, applications, and shared services across multiple product lines. We are embedding AI into how we build and verify software. We are looking for a Lead Test Framework Architect to lead the adoption of AI in our software test lifecycle, and to build the test frameworks, evaluation methods, and governance that let us ship AI-accelerated software safely in regulated, GxP / 21 CFR Part 11 environments.This is a hands-on senior individual-contributor role. AI accelerates software delivery, but that acceleration exposes weaknesses downstream without a strong automated-testing control system. Building that control system - and leading the organization to adopt it - is the core of this role.Responsibilities:Lead AI SDLC adoption for quality engineering. Own the strategy for AI-assisted test authoring, execution, triage, and maintenance. Prove value through reference workflows, then scale adoption across product teams.Build AI-native test frameworks. Design workflows that generate unit, contract, integration, and E2E suites from specifications and intent. Verify that AI-generated tests exercise specified intent, not implementation. Integrate GitHub Copilot (enterprise standard) and complementary tools (e.G., Qodo, Diffblue, Playwright AI agents, self-healing frameworks) into CI/CD quality gates.Test our AI features. Build evaluation and regression frameworks for LLM- and agent-powered product capabilities: non-deterministic evaluation, hallucination and grounding scoring, drift detection, and AI observability using OpenTelemetry GenAI conventions.Own the regulatory bridge. Integrate AI-assisted testing into validated environments using risk-based Computer Software Assurance (CSA), GAMP 5 (2nd Edition) and the ISPE GAMP AI Guide, and - for diagnostics software - IEC 62304. Preserve audit trails, traceability, and data integrity for AI-generated artifacts.Establish human-in-the-loop governance. Define risk-scaled review checkpoints, acceptance criteria, and rollback triggers for AI-generated code and tests.Define platform-wide test architecture standards for a Kubernetes-based microservices platform: testability-by-design, test environment strategy (ephemeral namespaces, environment-as-code), CI/CD quality gate architecture, contract testing for microservices and APIs, test data strategy (synthetic data, isolation, AI/ML data requirements), and E2E frameworks that work reliably in containerized environments.Instrument and report on impact. DORA delivery metrics augmented with AI-specific measures (coverage delta, defect-escape rate, mean-time-to-triage, eval-suite pass rates). Lead the change effort - champions, enablement, playbooks - that drives durable adoption.QualificationsRequired10+ years of software engineering, with 3+ years in test architecture or quality engineering architecture roles.Demonstrated daily, hands-on use of AI-assisted development and testing tools (GitHub Copilot, Claude Code, Cursor, or equivalent) with the ability to speak concretely to effective usage patterns and failure modes.Deep hands-on Kubernetes expertise for test environment design: ephemeral namespace provisioning, container-based test infrastructure, environment-as-code.Strong experience designing multi-level test automation frameworks: unit, contract, integration, E2E, and performance testing in distributed systems.CI/CD pipeline architecture and quality gate integration (GitHub Actions, Jenkins, or equivalent).Contract testing experience (Pact or consumer-driven contract testing) for microservices and API-first architectures.Demonstrated ability to deliver reusable test frameworks adopted across multiple product teams — reference implementations, not just guidelines.Working knowledge of testability-by-design and the ability to influence how software is architected to be inherently more testable.Experience leading adoption and change in an established engineering organization, with a track record of defensible outcome metrics.PreferredExperience testing AI/ML, LLM, or agent-based systems: evaluation frameworks (deepeval, promptfoo, LangSmith, Langfuse, Maxim AI, or equivalent), non-deterministic regression, hallucination and grounding scoring, drift detection.Fluency in regulated software validation: 21 CFR Part 11, GxP / GAMP 5, CSA vs. CSV, and IEC 62304 for medical device or diagnostics software.Context engineering for LLMs: prompt/spec design, RAG, MCP servers, project-memory patterns.Observability tooling in containerized environments, ideally with OpenTelemetry GenAI Semantic Conventions.Performance and load testing at platform scale (k6, Gatling, Locust, or equivalent).Infrastructure-as-code and GitOps applied to test environment provisioning.Background in scientific instrument software, laboratory platforms, or life sciences / diagnostics.We offer (depending on the country you are based in):An independent job in collaboration with good colleagues, in a growth-orientated organizationA true commitment to work/life balanceAn opportunity to learn and growAgilent Result Bonus, Stock Purchase Plan, Life Insurance, Pension, Healthcare, Employee Assistance Program, Holiday, Company activitiesAdditional DetailsThis job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.Agilent.Com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required:25% of the TimeShift:DayDuration:No End DateJob Function:R&D#J-18808-Ljbffr

ОписаниеZurich Insurance Group is a global insurance company. Its Technology Delivery Center in Barcelona provides technological solutions and support to local and global business units, covering software development, data analytics, cybersecurity, and IT infrastructure.Задачи- Own and evolve the Databricks platform supporting the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency; - Design, build, and maintain batch, streaming, API, and CDC data ingestion frameworks across multiple source systems; - Develop and manage Delta Live Tables pipelines with data quality controls, expectations, schema enforcement, and change data capture; - Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations; - Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management; - Build, deploy, and support Databricks Workflows for complex multi-task pipeline orchestration, dependency management, retries, and event-driven processing; - Establish and maintainCI/CD pipelines using Git-based development practices and Databricks Asset Bundles across development, testing, and production environments; - Collaborate with cloudand infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK; - Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation; - Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools; - Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure; - Ensure platform security through PrivateLink, VPC endpoints, row-level security, and column-level security controls; - Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform; - Drive platform best practices, technical standards, automation, and continuous improvement across the data ecosystem.Требования- 5-8 Years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture; - At least 3 years of hands‑on experience owning and managing Databricks platforms in enterprise environments; - Strong expertise in Databricks services, including Unity Catalog, Delta Lake, Delta Live Tables, Workflows, and Asset Bundles; - Proven experience designing and supporting batch, streaming, API, and CDC data ingestion frameworks; - Advanced proficiency in PySpark, Python, and Databricks SQL for scalable data pipeline development; - Solid knowledge of DevOps practices, including Git-based development, CI/CD pipelines, automated testing, and Infrastructure as Code; - Strong AWS experience with S3, IAM, networking, security controls, and secrets management; - Experience with large-scale data platforms in regulated industries; - Nice to have: Financial services experience, Databricks and/or AWS certifications, Airflow, Kafka/MSK, enterprise data governance frameworks.Условия- Flexible working model; - Option to work abroad for up to 25 days per year; - Over 300 euros for home office setup and an additional monthly home office allowance; - Internal and external training, including English, German, and Spanish classes depending on business needs; - Ticket restaurant and health insurance with the option to exchange them for other benefits; - Life and accident insurance; - Collective life retirement plan; - 2000 Referral bonus for referring talented employees; - Special banking and insurance conditions and exclusive employee discounts; - Functional diversity benefits; - Stock options and mortgage benefits; - Work location: Barcelona, Poblenou.#J-18808-Ljbffr

Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses. We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers., • Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry., • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors., • Enjoying the Journey: We believe in having fun while working toward our goals. Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona, and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses. We take pride in our cutting-edge product and our internationally distributed team of talented professionals. Here’s what we value: • Continuous Learning and Growth – We invest in development and long-term careers, • Making an Impact – We are building a history-defining company in the mobile industry, • Solving Exciting Challenges – Complex, large-scale problems are part of our daily work, • Enjoying the Journey – We believe great results come with a positive environment We are looking for a Senior Rust Engineer to join our Barcelona team and contribute to building high-performance, real-time systems powering our ML-driven AdTech platform (Mobile Growth Platform.) In this role, you will work on core backend infrastructure and ML platform components, focusing on low-latency, high-load services that process large-scale traffic in real time. You will play a key role in developing and optimizing systems such as real-time applications, feature stores, user identity services, and custom inference layers, ensuring scalability, reliability, and performance. • Contribute to the development of real-time applications and ML platform components, • Build and maintain high-load, low-latency backend services, • Work on in-house solutions including:, • Feature stores, • User identity services, • Custom inference layer, • ML platform infrastructure, • Optimize system performance across on-premise Docker & Kubernetes environments, • Design and implement solutions for traffic scaling and system reliability, • Collaborate with ML, data, and engineering teams to support production ML systems, • Continuously improve system architecture, observability, and efficiency, • Languages: Rust, Python, • Data & Streaming: Kafka, SQL, Redis, ScyllaDB, Delta Lake, Databricks, • Infrastructure: Docker, Kubernetes (on-premise), • Tools: GitHub, • 5+ years of experience in software engineering, • Strong proficiency in Rust or proficiency in C/C++/Zig with willingness to transition to Rust • Experience designing and building high-load, performance-critical systems, • Solid understanding of system design, concurrency, and performance optimization, • Basic knowledge of machine learning workflows and tools, • System programming experience (C, C++, Zig), • Experience in ML engineering / MLOps, • Strong Python skills, • Familiarity with AdTech standards (OpenRTB, MRAID, VAST), • Experience with WASM / WASI, • Background in distributed systems and real-time processing, • Location: Barcelona, Spain (office attendance 4 days per week), • Autonomous and self-driven engineer with strong ownership mindset, • Passion for engineering excellence, performance, and scalability, • Interest in ML/AI systems and infrastructure, • Ability to work independently and make informed decisions, • Strong collaboration and communication skills Why Join Us: • Opportunity to work on cutting-edge projects with a global impact in the mobile app industry., • A collaborative and inclusive work culture that values innovation and continuous learning., • Competitive salary, flexible work arrangements, and a comprehensive benefits package., • Professional development opportunities and career growth prospects within a fast-growing company. We appreciate teamwork, critical thinking, independent decision-making, and standing up for oneʼs viewpoint. We are looking for talented engineers who are willing to grow, improve and share our values! With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success! #J-18808-Ljbffr

Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales?En Deloitte estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti.En Deloitte, sabemos que la mejor forma de afrontar los retos del entorno es a través del mejor talento, por eso buscamos personas con pasión por la innovación tecnológica y la transformación de los negocios.Desde nuestro equipo de Inteligencia Artificial (IA) buscamos incorporar un/a Senior Delivery Consultant – AI, Data & Azure para participar en proyectos de alto impacto relacionados con Inteligencia Artificial, Generative AI, Machine Learning y plataformas de datos cloud sobre Microsoft Azure.Tendrás la oportunidad de trabajar en proyectos desafiantes y dinámicos, diseñando e implementando soluciones avanzadas de IA para clientes enterprise, colaborando con equipos multidisciplinares y participando en iniciativas end-to-end, desde el discovery hasta el delivery. Cómo será tu día a día?• Diseñar arquitecturas cloud escalables y seguras para soluciones de IA, Machine Learning, Generative AI y analítica avanzada sobre Azure.• Participar en el desarrollo e implantación de soluciones con Azure OpenAI, Azure AI Search, Azure ML, Databricks, Synapse/Fabric, Data Lake, AKS o Container Apps.• Diseñar e implementar soluciones RAG, copilotos, asistentes conversacionales y agentes inteligentes.• Participar en proyectos de ML y Deep Learning, desde la experimentación hasta producción.• Trabajar en pipelines de datos batch y near real-time, modelado de datos y arquitecturas modernas de datos.• Colaborar en prácticas de MLOps, LLMOps, CI/CD e infraestructura como código.• Incorporar criterios de seguridad, observabilidad, escalabilidad y gobierno del dato en las soluciones.• Liderar técnicamente iniciativas AI & Data y colaborar con cliente en workshops, discovery, roadmap y definición de soluciones.• Coordinar equipos multidisciplinares y comunicar decisiones técnicas a perfiles técnicos y de negocio. Qué estamos buscando?• Experiencia sólida en proyectos de AI, Data o Machine Learning en entornos cloud.• Experiencia práctica con Microsoft Azure y servicios de IA y datos.• Experiencia en soluciones de Generative AI, RAG, copilotos o agentes inteligentes.• Dominio de Python y librerías de datos/IA como Pandas, Scikit-learn, PyTorch, TensorFlow, LangChain o similares.• Experiencia con SQL, modelado de datos y despliegue de soluciones en producción.• Conocimiento de arquitecturas cloud, seguridad, escalabilidad y buenas prácticas de desarrollo.• Capacidad para trabajar directamente con cliente y liderar técnicamente iniciativas.• Nivel alto de español e inglés.Será muy valorable si además cuentas con:• Experiencia en MLOps, LLMOps, PromptOps o DevOps.• Conocimiento de Docker, Kubernetes, AKS, Terraform, Bicep o GitHub Actions.• Experiencia con Databricks, Spark, Delta Lake, Microsoft Fabric, BigQuery o Vertex AI.• Experiencia en visión artificial, NLP, análisis documental o deepfakes.• Conocimiento de OWASP, DAST o seguridad aplicada a IA.• Experiencia en sectores regulados o proyectos internacionales. Cómo es trabajar en Deloitte?ð Proyectos de alto impacto donde tendrás un largo recorrido y aprendizaje️ Un día a día híbrido-flexible: tendrás horario flexible y un buen equilibrio entre el teletrabajo y el trabajo en equipo en nuestras oficinas o las de nuestros clientes Buen ambiente dentro y fuera de la oficina: disfrutarás de varios teambuildings al año, actividades culturales y deportivas… ¡y mucho más!ð§‍️ Bienestar integral: cuídate con nuestro programa de salud física, mental y financiera… ¡y con equipo médico en las oficinas!ð² Impacto social: Podrás apuntarte a una gran cantidad de voluntariados de alcance nacional e internacional y a proyectos pro-bono con los que poner tu tiempo y talento al servicio de quienes más lo necesitanð️Cultura del feedback y aprendizaje continuo: crecerás en un entorno inclusivo donde la igualdad de oportunidades y tu plan personalizado de formación impulsarán tu desarrollo. Ya te visualizas en la Deloitte University de París?ð Beneficios exclusivos por ser parte de Deloitte: podrás disfrutar de un gran catálogo de beneficios y de un completo plan de retribución flexibleSi te gusta lo que lees, estos son tus próximos pasos:Aplica a la oferta haciendo clic en ‘Enviar candidatura ahora’ y completa tu perfilSi encajas en el puesto, nuestro equipo de talento te contactará para conocerte mejor¡Comienza el proceso! Te iremos guiando por las diferentes fases hasta tu incorporación.