Trabajos delta en Hospitalet De LlobregatCrear alertas

Senior Data & Analytics Product SpecialistApplylocations: Barcelonatime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR017646## Job main responsibilities: Design and maintain business dashboards Translate business strategy into analytics roadmap Enable business performance insights Act as analytics partner for business Lead cross-domain alignmentTechnical Skills & Technology Landscape: Power BI-type BI platforms Enterprise semantic models Advanced business KPIs Data visualization and UX best practices Collaboration with Data Engineering teams## Qualifications and Skills1. Core Technical Advanced Power BI development: composite models, RLS, deployment pipelines, Premium features Enterprise semantic modelling in Microsoft Fabric /Databricks, Power BI Premium for supply chain domains SAP supply chain data architecture: extraction from MM/PP/SD/WM, delta patterns, reconciliation (preferred) business analytics roadmap: KPI taxonomy, domain data product ownership Predictive analytics enablement Self-service analytics governance: framework design, training, adoption management Integration with Databricks Gold layer for advanced supply chain data products2. Certifications Microsoft Certified: Power BI Data Analyst Associate — Mandatory Microsoft Certified: Fabric Analytics Engineer Associate — Strongly Preferred SAP Certified Application Associate – Procurement / Materials Management — Strongly Preferred APICS CSCP or CLTD (Logistics, Transportation & Distribution) — Strongly Preferred Microsoft Certified: Azure Data Engineer Associate — Preferred3. Industry & Business Knowledge Deep SAP supply chain knowledge: MM, PP, SD, WM / EWM, APO / IBP Advanced supply chain KPI ownership: OTIF, DIFOT, inventory turns, working capital impact S&OP and integrated business planning data requirements Industrial minerals supply chain: quarry-to-customer data flows, logistics costing Cross-domain coordination: alignment with finance (COGS, stock valuation) and operations4. Behavioral & Leadership Supply chain business partnering — acts as analytics advisor to SCM leadership Domain data product ownership: accountable for quality, adoption, and evolution Strong prioritisation: manages competing demands from planning, logistics, and procurement Translates operational complexity into clear analytical insight Cross-functional leadership: aligns data engineering, governance, and business stakeholders## What do we offer?* Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.* Ticket Restaurant: Enjoy a daily meal allowance to support your well-being.* Flexible retribution: Kindergarten & Transport* 30 Labor Days of Holidays: Ample time off to relax and recharge.* Language Lessons: Access to language lessons to help you grow both personally and professionally.* Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.* Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success. #J-18808-Ljbffr

BLP is hiring ambitious engineers to design and build Delta, the core software that powers our platform. You will work on cloud infrastructure, backend systems, and applying the latest AI techniques to automate complex business processes. Our team values precision, formal reasoning, and rigorous testing to ensure correctness as we scale. We welcome candidates with strong math foundations, startup experience, and expertise in functional programming and type systems. #J-18808-Ljbffr

The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP), a PaaS offering that comprises the necessary capabilities to store, transfer and analyse data, as well as running data & analytics products. Are you energised by building and implementing the data platforms that thousands of colleagues depend on at one of the world's largest financial services groups? If so, this role puts you at the centre of that work. You will implement and engineer the platforms behind the Allianz Data Platform, working hands-on with Databricks, Azure Synapse, and Microsoft Fabric, and turning platform capabilities into services that Operating Entities can adopt with confidence. The role sits at the crossroads of engineering, data, and operations, which means the pipelines, integrations, and controls you build shape how thousands of colleagues across Allianz Group turn data into decisions. To get there, you will work forward with the Operating Entities themselves, assisting in the deployment and configuration of platform components, integration of source systems, and extending our offering into so that analytics and AI use cases run on solid, governed foundations. • Consult with OEs in the implementation and configuration of core platform components across Databricks, Azure Synapse, and Microsoft Fabric, from initial deployment through to stable production., • Assist in building data integration pipelines that connect OE source systems to central platforms, using both batch and streaming patterns., • Configure platform capabilities with high availability, strong access controls, and end-to-end observability., • Extend the platform offering into AI and GenAI scenarios, including Azure AI Foundry, so that model-based use cases run on governed foundations., • Partner directly with Operating Entities to translate business needs into working platform implementations and reusable solutions., • Implement governance, security, and data control layers in line with financial services expectations for data handling, auditability, and operational resilience., • Build and refine CI/CD and infrastructure-as-code pipelines to keep deployment cycles fast, secure, and repeatable., • Collaborate closely with security, risk, compliance, architecture, and data governance teams to clear the path for platform adoption., • Deliver reusable components, reference architectures, and engineering best practices that accelerate platform rollout across the group., • Support the rollout of central platform solutions to the OEs, and build business-specific use cases on top of them., • Coach and mentor engineers across the organisation, and drive continuous improvement in tooling, standards, and ways of working., • BS/MS in Computer Science, Information Systems, Engineering, or an equivalent technical discipline., • 5+ years of hands-on experience implementing or engineering data and analytics platforms in enterprise environments, ideally within financial services, insurance, or another regulated industry., • Significant experience with Databricks, including Delta Lake, Unity Catalogue, workflows, and production pipelines., • Practical experience with Azure data services such as Azure Synapse Analytics and Microsoft Fabric., • Strong data integration skills, covering ETL and ELT design, orchestration (e.g., Azure Data Factory, Airflow), and both batch and streaming sources., • Solid engineering skills in Python and SQL, with experience building and maintaining production-grade code., • Experience with CI/CD pipelines, source control management, and infrastructure-as-code (e.g., Terraform, Bicep)., • Working knowledge of platform security and governance concepts, including access controls, encryption, and data lineage., • Familiarity with end-to-end (E2E) Data Product Management, including data governance, quality, and lifecycle management., • Excellent communication and stakeholder management skills in English (additional languages are a plus)., • 7+ years of experience in platform engineering, data engineering, or cloud infrastructure., • Exposure to Azure AI Foundry or comparable AI platform tooling, including the deployment of model-based services., • Familiarity with MLOps practices and tools such as MLflow, feature stores, and model lifecycle governance., • Experience with Kubernetes, Docker, and cloud-native architectures., • Hands-on familiarity with the wider modern data stack (e.g., Spark, dbt, Kafka, Snowflake, or similar)., • Experience with observability and monitoring tools such as Azure Monitor, Datadog, or Prometheus., • Relevant certifications such as Databricks Certified Data Engineer, Microsoft Azure Data Engineer, or equivalent. If you dont tick every box, thats okay—your growth mindset matters. We welcome applicants who bring the essentials and are eager to learn the rest. • We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad., • We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)., • From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered., • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. If you dont tick every box, thats okay—your growth mindset matters. We welcome applicants who bring the essentials and are eager to learn the rest. • We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad., • We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)., • From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered., • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz. Find us at: Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life. Ultimately, our greatest strength as a company lies in the unique skills, experiences, and backgrounds our employees contribute. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters. When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz. #J-18808-Ljbffr

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

• 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. Associate Contract Consulting Banking #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

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. • Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL., • Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution., • Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments., • Develop data pipelines and processing solutions to support new business requirements and datasets., • Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases., • Implement data quality checks, monitoring, validation, exception handling, and production controls., • Optimize PySpark and SQL workloads for performance, reliability, and scalability., • Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions., • Troubleshoot complex data and production issues and implement sustainable solutions., • Collaborate with business, data engineering, and platform teams to identify further automation opportunities., • 5+ years of strong hands-on experience with Databricks and PySpark ., • Advanced SQL and data-processing skills ., • Hands-on experience with GCP, particularly BigQuery ., • Experience with Delta Lake and modern data lake/lakehouse architectures ., • Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality., • Experience building reliable, scalable, production-grade data solutions, • Strong analytical and troubleshooting skills, • Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support., • Upper-intermediate English level., • Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions., • Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes., • Familiarity with orchestration and automation frameworks., • Experience developing reusable data engineering frameworks and platform components., • Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight., • Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities., • A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands., • Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive. #J-18808-Ljbffr

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines and agentic workflows. You will collaborate with data science, product, and platform teams to automate data engineering tasks and optimize data processing across Databricks, BigQuery, and Delta Lake. The role emphasizes building reusable data engineering components, implementing data quality checks, and ensuring robust production-support practices with a focus #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

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes. Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs. With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity. Following our successful expansion into the U.S. and continued growth across Europe, we are seeking a Senior Backend Developer (Delta Team) to help drive our Operations function from our Barcelona hub. This person will play a critical role in building Biorce’s internal software infrastructure, starting with our CRM Leadro. Leadro is Biorce's in-house AI-native CRM and the system of record for our commercial engine: LLM-driven workflows, data orchestration across our GTM stack, and deep third-party integrations. You'll own backend systems end to end and shape the architecture as we scale. Who We’re Looking For: The ideal candidate has 6+ years in software development and architecture, with real ownership of production systems. Someone with a track record of taking ambiguous problems from design through documentation to delivery, and experience mentoring engineers and driving technical decisions. This person should be able to own backend systems end to end and help the team deliver fast without breaking things. Key Responsibilities: • Design, build, and own Leadro's core backend services, from data models to APIs, • Build and maintain deep third-party integrations across our GTM stack, • Ship LLM-powered features: agentic workflows, enrichment pipelines, and intelligent automation, • Set technical direction for the backend, lead design reviews, and raise the bar on code quality through rigorous code review and clean code practices, • Mentor engineers and help the team deliver fast without breaking things Must-haves • 6+ years in software development and architecture, with real ownership of production systems, • A track record of taking ambiguous problems from design through documentation to delivery, • Experience mentoring engineers and driving technical decisions, • CS degree or equivalent practical experience, • Expert-level Node.js and TypeScript in production backend systems, including NestJS, • Strong data architecture skills: complex data modeling, relational databases (PostgreSQL, MySQL), and warehouses like BigQuery, • API design and development (REST, GraphQL), including building and maintaining third-party integrations, • Hands-on experience shipping LLM-based workflows or agentic systems, • Modern engineering practices: code review culture, clean code principles, CI/CD, Docker and Docker Compose, and automated testing, • Experience with major cloud providers (GCP, AWS, Azure) — GCP is our primary platform, • Proficiency with tools like Confluence and Jira Nice-to-Haves • Distributed and event-driven patterns: Redis, RabbitMQ, Kubernetes, serverless, • Authentication, authorization, and identity management (OAuth, SSO, RBAC), • Python, • Experience with React, HTML/CSS, Bootstrap is a plus., • Prior work on data-heavy SaaS (CRM, RevOps, or analytics tooling) Why Join Us? • A dynamic work environment with an international team, where collaboration and diversity thrive., • Work alongside top talent, united by a shared purpose and committed to making a real impact., • Get equipped with a MacBook to enhance your productivity and work experience., • Benefits package designed to support you and your family’s overall well-being., • Comprehensive medical, dental, and vision insurance options beginning on the first of the month following hire., • Hybrid work model offering flexibility to balance your professional and personal life., • Company events to celebrate achievements and enjoy time together., • Our office is pet-friendly! You’ll likely be greeted by a few wagging tails upon arrival. -- #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. 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. • Technical 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., • Production-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., • You 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)., • Ideally, 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’ve successfully 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 in explaining technical concepts to non-technical audiences and drive decision-making., • You’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. 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. • 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 PTO days - 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. 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. DATAPAO 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 . #J-18808-Ljbffr

Senior Ecommerce Growth Strategist • Be willing to put in the hard work required and be hungry enough to go through the kick‑off., • Be ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high‑leverage new skill., • Take feedback and implement it fast., • Finish the work to the fullest with quality and on time., • Perseverance., • Remember and learn from the repetitive doing of the exercises., • Align with the team and contribute to the Brain Trust for ideas across clients., • Manage, align & work with the team members of your pod including Google strategist, Creative Strategist, and Email Strategist., • Organize, prioritize, and manage multiple tasks with great attention to detail., • Maintain data integrity of your clients across Statlas., • Be responsible for the execution of the Prophet system for your clients., • Build a Growth Forecast for your clients (Growth map, Data Analysis, Marketing calendar alignment)., • Perform daily execution and actualisation vs the forecast; deconstruct and adjust projections to meet KPIs., • Combine data analysis and client feedback to develop strategic plans for the future; pivot quickly as an early adopter., • Lead in situations that present any obstacle to execution; solve problems with creative and resilient approaches., • Implement CTC's Meta best practices; build campaigns using our structure and best practices., • Monitor active campaigns and adjust budgets and strategy to ensure best possible chance of hitting daily projected targets., • Implement tests in your accounts to beat best‑performing campaigns., • Ensure a 5% delta to the forecast and daily alignment with the client & strategy., • Ensure above‑benchmark client satisfaction and follow the Prophet system execution to 100% within required timelines., • Deliver all work based on the timeline assigned with optimal quality & attention to detail., • Champion communication: keep the client aligned on the Growth Map goals and next steps, send daily performance updates, and provide weekly updates on strategy calls., • Contribute learnings back to the system for continuous improvement; collaborate in ideas and learning across teams., • Achieve certification and confidence in our ideology by the end of training, ensuring precise execution of the Prophet system., • Consistently deliver high‑accuracy performance within a 5% delta across the Prophet system's Growth Map and Statlas., • Lead and collaborate with your team to optimize productivity and maintain high‑performance standards., • Apply best practices in media buying to drive outstanding results, maintaining client satisfaction above benchmark rates., • Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution., • Meet all deadlines and budget requirements, ensuring timely and on‑target performance., • Contribute valuable ideas to team discussions and company‑wide content, supporting growth and innovation., • Fluent in English, with proven ability to communicate persuasively and present ideas clearly to various stakeholders., • Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence., • Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision‑making., • Strong raw talent for data analysis, with an eagerness to learn and improve., • Familiarity with data tools, including Google Sheets, and flexibility to develop advanced skills through on‑the‑job experience., • Historical expertise that compounds to bring a well‑rounded perspective and add value to the role., • Experience from domains such as mathematics, data analytics, business operations, retail, finance, media buying, etc., • Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems., • Naturally adept at dissecting issues and proposing practical, impactful solutions., • Passionate about e‑commerce and eager to contribute to a high‑performing team at the forefront of the industry., • Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact., • Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy., • Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle., • Demonstrates adaptability and unyielding determination to get things done, regardless of obstacles, time constraints, or resources., • Embodies an “unimpeachable” character: consistently honest, humble, self‑aware, takes full ownership, and values constructive feedback., • Acts as an autodidact: naturally curious, absorbs information quickly, embraces feedback, and works independently without constant oversight., • Competitive compensation with a structured performance‑based component, to be discussed during the interview process., • Fully remote with the ability to pick your schedule., • Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth., • Exceptional work is recognized and rewarded, with weekly check‑ins for accountability, ensuring you are consistently challenged and engaged with new opportunities daily. #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

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

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. • 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., • Experiencia en Agility coaching., • Uso de Power BI para seguimiento de reportes y dashboards., • Conocimiento de entornos Azure Delta Lake. 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

Joko is seeking a senior software engineer to lead the engineering platform, reliability, and internal tooling.You will collaborate with product teams across Paris, Barcelona, and New York, ensuring scalable infrastructure as the company grows globally.You will drive CI/CD, security, and observabili

The British School of Barcelona (BSB) is a great school in a wonderfullocation. We are an HMC school and were judged by a recent BSO (British SchoolsOverseas) inspection to be outstanding in every area, including quality ofeducation, safeguarding, pupil welfare and academic outcomes. BSB is a large, very popular school for children aged 3 to 18. Our curriculumis based on the English National Curriculum, and we offer a wide range ofGCSEs, A levels and the International Baccalaureate Diploma, all alongside asignificant enrichment programme. Over 2000 pupils from more than 74 nationalities attend the school and over 315staff work at BSB, across three locations. In 2026 we will be expanding ourschool, adding a state of the art campus at Maresme, east of Barcelona city.The campus will initially enrol students from Nursery to Year 6 in 2026,expanding to Year 13 in 2028. This is an exciting new development with arange of specialist facilities including: state of the art classrooms, sciencelabs, fully equipped music and art facilities and rehearsal spaces, dedicatedplay, social and study spaces, and indoor and outdoor sports facilities all setin stunning surroundings with the mountains as a backdrop and the coast as theframe. This is a truly exceptional setting for learning. BSB's reputation for ensuring the very best student experience, along withstrong academic outcomes and a programme that focuses on building character anddeveloping global mindset has seen the school grow from strength to strength.However, we do not rest on our laurels, we always seek to improve, and this canbe seen from our approach to teacher development, through active professionallearning communities and reflective practice. Cognita is a global leader in independent education. Founded in 2004, we are agrowing community of 90 schools in 21 countries - in Europe, North America,Latin America, Asia and the Middle East - serving more than 100,000students. Each of our schools are proudly unique, however our collectivepurpose is to create an environment where everyone can, "Thrive in arapidly evolving world". At Cognita, we know every student is unique. We nurture their distinctpersonalities and strengths. We support them academically, socially, andemotionally, wherever they are in the world, wherever they’re startingfrom. And each and every one of our schools is unique too. We protect what’s special about them, while offering them rich knowledge,opportunities, and best practices. And they get to be part of somethingbigger. We open their classrooms to the collective wisdom of over 100schools in 21 countries, ensuring every child gets an education that’s, quiteliterally, world class. We are recruiting anEAL Teacher withAdditionalResponsibilitiesto join BSB Maresme. As a Teacher at BSB, you will deliver an engaging and innovative curriculumthat inspires young learners to thrive academically, personally, and socially.You will create a positive learning environment and set highexpectations. Beyond the classroom, you will contribute to whole-schoolpriorities, collaborate with colleagues, and uphold the highest safeguardingstandards. As EAL Teacher & Language Centre Lead, you willoversee the day-to-day operation of the Language Centre while deliveringhigh-quality English language programmes for students requiring additionallanguage support. You will assess language proficiency, design and deliver targetedinterventions, monitor student progress, and work closely with families andteachers to ensure students reach their full potential. The role also plays akey part in supporting new student admissions, developing innovative languageprogrammes, and contributing to the continued growth and success of theLanguage Centre. • Assess English language proficiency and learning needs, • Deliver targeted EAL support for individuals and small groups, • Track progress, maintain records, and adapt programmes, • Manage Language Centre student cases, • Work with staff and parents to support student success, • Assess prospective students' English levels, • Advise families on language support options, • Support admissions and student transitions, • Oversee daily Language Centre operations, • Manage timetabling, enrolment, attendance, billing, and records, • Monitor student outcomes, participation, and retention, • Drive Language Centre growth and programme development, • Partner with Admissions and Marketing to promote services, • Support community engagement and school events, • Develop new learning opportunities and expand provision across campuses, • Produce KPI and performance reports BSB Maresme are looking for an experienced EAL professional who combineseducational excellence with strong organisational and relationship-buildingskills. • TEFL, CELTA, Trinity TESOL, DELTA, or equivalent English language teachingqualification, • Significant experience delivering English language intervention programmes, • Strong understanding of second language acquisition and language development, • Experience assessing English proficiency and planning targeted interventions, • Experience communicating effectively with parents and stakeholders All positions are offered with attractive packages including competitivesalaries, places for staff children in BSB, and other local benefits. Cognita Schools are committed to safeguarding and promoting the welfare ofchildren and young people and expects all staff, volunteers and other thirdparties to share this commitment. Safer recruitment practice and pre-employment background checks will be undertaken before any appointment is confirmed. Cognita is committed to preserving and promoting equality of opportunity in allaspects of the conduct of its business. No member of staff or any applicant for employment with Cognita will bediscriminated against, harassed or victimised because of their personalcharacteristics. Cognita expects all staff to comply with the letter and thespirit of its policy. We are an equal opportunities employer committed to diversity and treating allemployees with dignity and respect regardless of background. #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

Buscamos a una persona con experiencia en gestión laboral y nóminas para incorporarse al área de Administración de Personal en Barcelona. Las funciones principales incluyen la gestión de altas, bajas y variaciones en los sistemas de la Seguridad Social, la elaboración de contratos laborales, y la confección de nóminas. También se encargará del cálculo y regularización del IRPF, la aplicación de convenios colectivos, y el cálculo de atrasos e incidencias. Será necesario manejar plataformas como Sistema RED, Cret@, Contrat@, Delta y ••••••••••••• Buscamos a alguien con diplomatura en Relaciones Laborales o similar, y al menos tres años de experiencia en administración de personal y nóminas. Se requiere dominio de A3NOM y Excel, nivel alto de catalán, y experiencia con herramientas de la administración. Se ofrece un contrato temporal de seis meses por proyecto de refuerzo, con incorporación inmediata. El salario es de 28.000 euros brutos al año, en jornada completa de 39,5 horas semanales. El horario es de lunes a viernes, con jornada intensiva en verano. La modalidad es inicialmente presencial, con posibilidad de teletrabajo progresivo.

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

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

¡Sumate como Data Engineer en Barcelona! Ubicación: España (100% remoto) En Extia nos guía el principio "First who, then what" (Primero la persona, después el proyecto). Estamos convencidos de que un entorno de trabajo colaborativo y enfocado en el bienestar es la clave para alcanzar la excelencia profesional. Como el 1.º Great Place To Work® en Francia ) y referente en Europa por 7.º año consecutivo, situamos a las personas en el centro de cada iniciativa. Buscamos incorporar un/a Data Engineer orientado/a a Data Products para unirse a un entorno internacional en el sector asegurador/financiero. En este rol, serás clave en el diseño, construcción y mantenimiento de productos de datos seguros, escalables y utilizables para la toma de decisiones estratégicas en áreas como Pricing, Underwriting, Claims y Gestión de Riesgos. Trabajarás mano a mano con Data Scientists, arquitectos y equipos de negocio para garantizar datos fiables, accesibles y consumibles mediante APIs, Data Catalogs y Data Sets, cumpliendo con la gobernanza y normativas de seguridad (GDPR). • Pipelines de Datos (ETL/ELT): Diseñar y construir pipelines robustos en la nube, enfocados principalmente en el ecosistema Microsoft Azure (Data Factory, Databricks, Synapse, Data Lake / Delta Lake)., • Gestión de Data Products: Diseñar, modelar y administrar productos de datos, incluyendo data contracts, catalogación, APIs y métricas de uso/adopción., • Integración Multifuente: Integrar y transformar datos estructurados y semi/no estructurados de diversos sistemas (pólizas, suscripción, siniestros, CRM, fuentes actuariales y externas)., • Calidad, Monitorización y Seguridad: Implementar observabilidad, alertas y trazabilidad en los pipelines, garantizando el control de acceso, encriptación, seudonimización y cumplimiento de GDPR., • Optimización de Rendimiento y Costes: Gestionar particionado, caching y optimización de consultas SQL/PySpark para minimizar costes de procesamiento y maximizar velocidad., • Colaboración con Data Science y CI/CD: Preparar datasets para modelos analíticos garantizando su reproducibilidad y participar en prácticas CI/CD de datos (Git, integración continua y despliegues automatizados)., • Formación: Grado/Ingeniería en Informática, Software, Matemáticas, Ciencias o disciplina técnica similar., • Experiencia: 3 años de experiencia en ingeniería de datos y construcción de pipelines robustos., • Lenguajes y Procesamiento: Dominio avanzado de Python y experiencia sólida con PySpark / Spark y SQL ., • Ecosistema Cloud (Azure): Experiencia práctica en Azure Data Factory, Databricks, Synapse Analytics y Azure Data Lake Storage (ADLS) ., • Modelado y Data Products: Experiencia en diseño de data warehouses, data lakes, modelado de datos y definición de data contracts., • Seguridad de Datos: Conocimiento en controles de acceso, privacidad de datos y normativas como GDPR ., • Idiomas: Español e inglés B2, • Sector Asegurador / Actuarial: Experiencia previa trabajando con datos del sector seguros (pricing, underwriting, claims)., • Streaming y Tiempo Real: Conocimiento en arquitecturas de streaming (Kafka, Event Hubs)., • Infraestructura y CI/CD: Experiencia en Docker, Kubernetes, microservicios y CI/CD para datos (Azure DevOps, GitHub Actions)., • Orquestación y BI: Experiencia con Airflow y herramientas de visualización/BI como Power BI. Fieles a nuestro lema "Who first, then what", ponemos a las personas por delante: adaptado al proyecto y a tu día a día. y planes de capacitación a tu medida. a través de tu Coach, Manager y HR. Seguro médico integral (con cobertura de fisioterapia y psicología) + Ticket Restaurante + Subvención de transporte. Formarás parte de una red de más de 3.000 profesionales en Europa y Canadá. Transparencia, cercanía y respaldo real. Team buildings, jornadas solidarias, meetups y eventos sociales para compartir fuera de la rutina diaria. #J-18808-Ljbffr

Buscamos incorporar a laDigital Supply Chain & Innovation (DSI) de NTT DATAun perfilData Engineercon interés en desarrollar soluciones avanzadas de datos, Inteligencia Artificial Generativa y sistemas agénticos aplicados aSupply Chain y Manufacturing,enBarcelonaoMadrid.El perfil se integrará en equipos multidisciplinares encargados de diseñar, construir y evolucionar soluciones de IA preparadas para entornos empresariales e industriales, trabajando en la intersección entreData Engineering, Cloud, AI Engineering y arquitectura IT/OT .No buscamos únicamente un perfil orientado a construir pipelines de datos, sino un ingeniero capaz de entender cómo los datos deben sercapturados, contextualizados, gobernados y servidospara convertirse en la base de copilotos, agentes de IA, sistemas de decisión y soluciones inteligentes desplegadas sobre procesos reales de negocio.Qué harás en tu día a día:Construir y mantenerpipelines de ingestión, transformación y procesamiento de datos, tanto batch como near-real-time o event-driven.Integrar información procedente de múltiples sistemas empresariales e industriales:ERP, MES, WMS, TMS, APS, bases de datos, APIs, IoT, plataformas OT y fuentes documentales .Construir capas de datos que permitan aLLMs y agentes de IA acceder de forma controlada a información corporativa, incluyendo patrones de Retrieval-Augmented Generation (RAG), búsqueda híbrida y recuperación estructurada.Diseñar mecanismos de integración de datos para arquitecturas agénticas medianteAPIs, eventos, herramientas, servicios y protocolos de integración como MCP, cuando aplique.Participar en el diseño e implementación deData Products y Data Contracts, estableciendo esquemas, calidad, ownership, SLAs, versionado y mecanismos de observabilidad.Implementar pipelines para datos estructurados, semiestructurados y no estructurados, incluyendo estrategias dechunking, embeddings, indexación y enriquecimiento de metadatos .Diseñar y operar soluciones sobre arquitecturasLakehouse y Cloud Data Platform, aplicando principios de escalabilidad, resiliencia, seguridad y eficiencia.Integrar soluciones cloud con entornos industriales y arquitecturasIT/OT, incluyendo APIs, eventos, IoT y patrones basados enUnified Namespace (UNS) .Colaborar con perfiles de arquitectura, AI Engineering, Data Science y especialistas de negocio para transformar necesidades de Supply Chain y Manufacturing en soluciones técnicamente viables.Participar en la construcción deaceleradores, conectores, componentes y patrones reutilizablesque puedan emplearse en diferentes clientes, plantas y casos de uso.Definir e implementar mecanismos deData Quality, observabilidad y monitorización, permitiendo identificar problemas de completitud, consistencia, frescura o disponibilidad de los datos.Aplicar prácticas deCI/CD, Infrastructure as Code, testing y automatizaciónal ciclo de vida de las plataformas y productos de datos.Participar enPoCs y experimentación tecnológica, evaluando nuevas tecnologías y determinando su viabilidad, rendimiento y escalabilidad antes de su industrialización.Contribuir a la evolución de las arquitecturas de referencia de la DSI para soluciones deGenAI, Agentic AI, Supply Chain y Manufacturing .¿Qué conocimientos valoramos para dicho proyecto?Capacidad paradiseñar soluciones, no únicamente implementar especificaciones cerradas.Buen conocimiento deSQLy modelado de datos relacional y analítico.Experiencia programando principalmente enPythony desarrollando componentes de procesamiento de datos.Experiencia construyendo procesosETL/ELTy pipelines de integración.Conocimiento de arquitecturas de datos modernas:Data Lake, Lakehouse, Data Warehouse y arquitecturas medallion .Experiencia con tecnologías de procesamiento distribuido comoSpark .Conocimiento de formatos y tecnologías de almacenamiento de datos comoParquet y Delta Lake .Experiencia trabajando con bases de datos relacionales y capacidad para comprender distintos patrones de persistencia.Conocimiento deAPIs REST, integración entre sistemas y arquitecturas orientadas a servicios.Familiaridad con tecnologías cloud y con los principios de seguridad, identidad, networking y despliegue necesarios para operar una plataforma de datos empresarial.Capacidad para diseñar soluciones teniendo en cuentarendimiento, escalabilidad, resiliencia, mantenibilidad y coste .Buenas prácticas de desarrollo:Git, testing, CI/CD, documentación y revisión de código .Capacidad para trabajar conjuntamente con arquitectos, Data Scientists, AI Engineers y especialistas funcionales.Curiosidad tecnológica y capacidad para aprender rápidamente tecnologías emergentes.Interés por comprender elproceso de negocioque existe detrás de los datos y no limitarse exclusivamente a su dimensión tecnológica.Valoramos especialmente perfiles capaces de moverse con naturalidad entresoftware, datos y arquitectura, evitando una visión excesivamente limitada del Data Engineering.Contrato indefinido desde el primer momento.Remuneración acorde a tu experiencia y conocimientosPlan de carrera personalizado y revisiones de categoría y salarioBeneficios flex, para destinar parte del salario a beneficios sociales (ticket restaurant, ticket transporte, guardería) repercutiendo en un ahorro fiscal + Ayuda flex a parte del salario por teletrabajo y dietasSeguro médico + Seguro de vida y accidentesModelo de trabajo híbrido y jornada de trabajo completa (Lunes a jueves de 8.30hs-18hs y viernes de 8hs-15hs)23 días de vacaciones + 2 días de personal leave + 2 festivos que ofrece la compañía: 24 y 31 de diciembreAcceso gratuito a los cursos de nuestra universidad corporativa (idiomas, formación técnica y habilidades competenciales).Ambiente laboral diverso, creativo, colaborativo y multinacionalSi te apasiona la tecnología y la vez, tienes habilidades de gestión; y te consideras una persona comunicativa…¡NTT DATA es tu sitio!En NTT DATA creemos que toda persona es única y diferente y por ello apostamos por una cultura inclusiva que reconoce y valora la diversidad. Trabajamos día a día para crear un entorno en el que podamos explorar, vivir y potenciar nuestra propia singularidad.#J-18808-Ljbffr

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. Grado en Ingeniería Informática, Telecomunicaciones, Estadística o similar. +3 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). 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 Direct Query y dashboards nativos ADX. Monitorización: ajuste de clústeres, escalado y análisis de costes con Azure Monitor. 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, Py Spark 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 (Py Spark/Scala) en Databricks o Fabric Spark Compute. Azure Functions y. NET para microservicios data-driven. Ia C con Terraform, Bicep o ARM Templates. 6. Business Intelligence y visualización Dashboards en Power BI sobre Fabric o Synapse, DAX avanzado, Direct Query/Composite Models. Data Ops y MLOps: CI/CD para pipelines, despliegues automáticos con Azure Dev Ops. Requerimientos: +4 años en Data Engineering sobre Azure y Fabric. DP-203 skills: almacenamiento, procesamiento y continuidad operativa. SQL avanzado, Python (pandas, Py Spark) y/o Scala. AKS y contenedores. 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. Si has llegado hasta aquí, seguro que te apetece conocernos un poco más… ¿Cómo somos en Airplane? 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

Concentrix is seeking an experienced Clinical Pharmacy Consultant / Informaticist to serve as the principal clinical domain expert for our Enterprise Pharmacy Analytics initiative. In this high-impact role, you will bridge clinical pharmacy operations, hospital revenue cycle priorities, and advanced data platform engineering to help transform fragmented pharmacy, clinical, financial, and procurement data into a unified analytical engine hosted on Databricks. This role is ideal for a licensed pharmacist with deep healthcare informatics expertise, strong database fluency, and the ability to translate complex pharmacy workflows into scalable analytics requirements, audit logic, and entity-resolution models. • Lead clinical discovery workshops across health-system stakeholders to map pharmacy workflows, document clinical logic, and define key performance indicators across five prioritized analytics horizons: Outpatient infusion margin optimization and cross-setting care navigation Clinical quality, safety, and antimicrobial stewardship Procurement, 503B aggregation, and supply chain optimization Labor productivity, chair capacity, and accurate unit of service frameworks Controlled substance diversion surveillance and compliance auditing, • Develop detailed functional use-case specifications that connect clinical intent, operational performance, and financial realization., • Differentiate standard business intelligence requirements from predictive AI and advanced modeling needs., • Apply prioritization scoring criteria to evaluate use cases based on financial ROI, clinical safety impact, regulatory compliance weight, and technical data feasibility., • Map and trace transactional data lineage across a complex, multi-vendor enterprise ecosystem to support the design of a robust Master Drug Index using NDCs and RxNorm CUIs., • Analyze and document data structures across Epic EHR and scheduling systems, including Willow, Beacon, Cadence, Clarity, Caboodle, and Epic Inpatient MAR., • Reconcile transactional outputs from pharmacy automation and compounding platforms, including DoseEdge IV workflow systems and Omnicell / BD Pyxis Knowledge Portals., • Define data requirements for safety, surveillance, and risk platforms, including ControlCheck, Origami Risk SEMS, and native Epic Willow tools., • Track and audit data structures across retail pharmacy, 340B, cost-accounting, procurement, and supply channels, including EnterpriseRx, Sentry Data Systems, StrataJazz, Civica Dashboards, Cencora ABC Order, Cardinal Health Specialty, QuVa Pharma BrightStream, and OurPharma., • Partner with Data Scientists and Machine Learning Engineers to create high-fidelity feature stores for models such as care-setting routing, stockout forecasting, and diversion anomaly detection., • Formulate a standardized data validation framework and automated reconciliation approach to ensure platform metrics align with audited general ledger entries and cash collections., • Support security and governance policies within Databricks Unity Catalog, including row-level facility filters and column-level dynamic masking rules to help protect patient PHI and proprietary vendor discount information., • Doctor of Pharmacy, PharmD, or Bachelor of Science in Pharmacy, RPh, from an accredited university., • Active, unrestricted license from a State Board of Pharmacy., • 8+ years of clinical experience in a high-volume inpatient hospital, multi-site outpatient infusion center, or specialized healthcare consulting environment., • 5+ years of healthcare informatics experience with a focus on EHR data analytics and pharmacy systems orchestration., • Functional working knowledge of Epic Willow, Inpatient and/or Ambulatory, and Epic Beacon., • Demonstrated understanding of Epic Cadence Scheduler slot template operations., • Strong understanding of healthcare data vocabulary and terminology standards, including 10/11-digit NDCs, HCPCS J-Codes, RxNorm Concept CUIs, ICD-10, and LOINC codes., • Ability to translate complex pharmacy operations, clinical workflows, and revenue-cycle requirements into clear technical requirements for analytics and engineering teams., • Experience working with fragmented, multi-system healthcare data and supporting entity resolution, audit logic, data lineage, and data validation activities., • Epic Certification or formal proficiency in Willow Inpatient, Willow Ambulatory, Beacon, or Clarity/Caboodle data models., • Direct implementation experience with at least three of the following systems: DoseEdge, Sentry 340B, StrataJazz, ControlCheck, EnterpriseRx, Meperia SCM, or UKG/Kronos Healthcare., • Intermediate ability to write or read structured SQL queries to independently explore relational database schemas., • Familiarity with cloud data lakehouse concepts, including Databricks Medallion pipelines, Delta Lake tables, or Unity Catalog controls., • Experience collaborating with data platform, analytics engineering, machine learning, clinical operations, pharmacy, finance, compliance, and revenue-cycle teams. The base salary range for this position is $145,000 - $195,000 a year, plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays. The deadline to apply for this position is 11/02/2026. As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies. Concentrix The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature. Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. For more information regarding your EEO rights as an applicant, please visit the following websites: • English, • Spanish Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process. As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role. In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. #J-18808-Ljbffr

Estamos buscando un/a Analista Senior de Market Intelligence con una marcada visión de negocio y alta capacidad analítica para unirse a nuestro equipo. Tu objetivo principal será explorar, transformar e interpretar datos de mercado para generar insights de alto impacto. Diseñarás soluciones analíticas y de visual analytics enfocadas en entender la oferta, optimizar la captación de clientes y evaluar la dinámica competitiva, comunicando tus hallazgos directamente al equipo directivo (management) y a las áreas de negocio. • Inteligencia de mercado y análisis competitivo: Explorar y analizar de forma continuada los diferentes datos de anuncios en los marketplaces de España para identificar patrones, anomalías y oportunidades comerciales., • Visualización e insights para management: Diseñar y mantener dashboards estratégicos y cuadros de mando interactivos en Tableau. Transformar datos complejos en historias visuales claras (data storytelling) que faciliten la toma de decisiones directivas., • Analítica de captación: Liderar análisis avanzados de perfilado de empresas y optimización de recursos comerciales., • Soluciones analíticas de mercado: Desarrollar reglas y modelos analíticos para la detección de contenido duplicado o relaciones entre perfiles profesionales entre distintos portales del sector., • Modelado predictivo orientado a negocio: Aplicar técnicas estadísticas y de machine learning supervisado/no supervisado para responder preguntas de negocio específicas (predecir comportamiento de clientes, estimar demanda, etc.)., • Comunicación e influencia estratégica: Traducir hallazgos técnicos en recomendaciones comerciales concretas, presentando resultados de forma clara a stakeholders no técnicos y al equipo directivo., • Criterio analítico y calidad del dato: Garantizar la fiabilidad y precisión de los análisis, aportando rigor metodológico y sabiendo alternar entre el detalle analítico y la visión macro estratégica., • Análisis y extracción de datos: Dominio avanzado de SQL y Python (pandas, NumPy) para la manipulación, consulta y análisis exploratorio de datos., • Business intelligence & visualización: Uso experto de Tableau Desktop y Tableau Cloud (diseño end-to-end de dashboards, desarrollo de KPIs, calculated fields, filtros avanzados)., • Procesamiento de grandes volúmenes de datos (Big Data): Consultas e integración de datos a gran escala mediante PySpark sobre entorno Databricks Notebooks, datos en formato Delta Lake y almacenamiento en Amazon S3., • Analítica Avanzada y ML Aplicado: Uso práctico de scikit-learn, XGBoost y LightGBM para tareas de clasificación, regresión o clustering, apoyándote en MLflow para el seguimiento., • Procesamiento de texto (NLP Analítico): Tratamiento de texto descriptivo en anuncios (usando NLTK, spaCy o TF-IDF) para cálculo de similitudes y detección de duplicidades., • Entorno de trabajo y orquestación: Modificación y supervisión de ejecuciones analíticas en Apache Airflow, control de versiones con Git/GitHub., • Experiencia requerida: Más de 3 años de experiencia en roles de análisis de datos, business intelligence, analítica avanzada o market intelligence en entornos corporativos o digitales., • Perfil analítico y orientación a negocio: Alta capacidad para estructurar problemas complejos de negocio, extraer conclusiones accionables y medir su impacto real., • Autonomía: Capacidad para gestionar proyectos analíticos de principio a fin sin requerir supervisión constante., • Inglés: Capacidad demostrable de presentación e iteración en inglés., • Cuidamos de ti y de tu familia., • Seguro médico privado financiado al 100 % por la empresa, con una amplia cobertura y reembolso de gastos médicos tanto en España como en el extranjero. Además, incluye cobertura dental y oftalmológica., • Bienestar integral., • Acceso a sesiones de apoyo psicológico, recursos especializados en bienestar y asistencia profesional confidencial las 24 horas del día, los 7 días de la semana. También contarás con ayudas para actividades deportivas, fisioterapia y programas orientados a fomentar hábitos saludables., • Flexibilidad y conciliación., • Modelo de trabajo híbrido con flexibilidad según tu puesto y equipo, que incluye la posibilidad de trabajar desde cualquier lugar durante un máximo de 4 semanas al año., • Apoyo familiar., • Políticas de conciliación ampliadas que incluyen permisos parentales, permisos para el cuidado de familiares y apoyo adicional durante el embarazo. También existe la posibilidad de disfrutar de un permiso antes del nacimiento, manteniendo el 100 % del salario., • Protección económica., • Cobertura del 100 % del salario durante las bajas por enfermedad, accidentes y permisos relacionados con motivos familiares. Más tiempo para ti 23 días de vacaciones al año, además de una reducción de jornada durante el verano, la Semana Santa y todos los viernes del año., • Retribución flexible., • Opciones adaptadas a tus necesidades, como vales de comida, transporte, guardería y otras ventajas fiscales. Ventajas y descuentos exclusivos Acceso a ofertas y descuentos especiales en viajes, compras, ocio y otros servicios gracias a nuestros acuerdos con diferentes empresas colaboradoras., • Oficinas en Barcelona., • Desayuno gratuito y menú de comedor subvencionado para que tu experiencia diaria en la oficina sea aún mejor., • Te proporcionaremos todo el equipamiento necesario para desempeñar tu trabajo con éxito, incluido un ordenador portátil y un teléfono móvil de empresa., • Modelo de trabajo. Modelo híbrido, con dos días de trabajo presencial a la semana. #J-18808-Ljbffr

Delta builds BLP’s core software: the technical foundation that everything else at the company runs on.

At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on… The Growth team acts as the powerhouse of the company, ensuring the immediate needs of the customers are swiftly met and the future ones are translated into a product roadmap and deliverable projects. Each member of the team combines a mix of programmatic, system engineering, and commercial skills with specific strengths. As a Senior Mission Concept Engineer, you will lead the definition and development of advanced space mission concepts, from early customer discussions through to fully developed proposals. You will play a central role in shaping missions with customers, translating their needs into technically robust and commercially viable solutions. This includes leading or contributing to satellite mission proposals, working closely with internal teams and external partners to build compelling, end-to-end mission architectures. You will: • Lead the design of complex missions across Earth observation, telecommunications, and technology demonstration, • Define mission architectures across space, ground, and launch segments, • Engage directly with customers (institutional and commercial) to refine requirements and shape solutions, • Lead or contribute to proposal development, ensuring technical credibility, cost realism, and alignment with customer expectations, • Support consortium definition, structuring partnerships and contributions across the value chain, • Contribute to early-stage mission shaping and pre-sales activities, including feasibility assessments and concept iteration, • Working cross-functionally with engineering, project management, and commercial teams, you will bring together inputs into clear, coherent mission concepts and proposals — balancing innovation with delivery realism, • You will also drive innovation within the team by developing tools, models, and approaches to assess mission performance, risk, cost, and schedule, • As a senior member of the team, you will mentor others, share knowledge, and contribute to the evolution of Open Cosmos’ mission design capabilities and long-term roadmap, • Strong understanding of all space mission phases including design – with hands‑on experience defining and analysing complex missions (e.g. constellation sizing, orbital analysis, payload integration, communications, AOCS, or system trades), • Specialisation in a mission domain, such as embedded software, satellite operations, mission control systems, or flight dynamics, • Have led technical workstreams or proposals in a commercial or institutional (ESA, UKSA, EC, etc.) context, • Strong analytical and problem‑solving skills, from performing delta‑V or power budgets to evaluating mission‑level trade‑offs, • Confidence dealing with ambiguity and complexity, using structured thinking to create clarity and drive progress, • Excellent communication and storytelling skills, able to engage both technical and non‑technical audiences, • A collaborative mindset, eager to exchange knowledge and help build scalable processes as Open Cosmos continues to grow For this role you can be based in any of our locations. To apply, you must have the legal right to work in your chosen location. • Work at the cutting edge of space technology with customers around the globe, • A mission‑driven company making space accessible to help solve real-world challenges, • A diverse, ambitious, and supportive team At Open Cosmos, we are dedicated to fostering a workplace built on respect, dignity, and belonging. As an equal opportunity employer, we actively challenge bias to ensure every candidate and employee feels truly welcome. We celebrate diversity in all its forms and are committed to maintaining an inclusive environment where everyone has the opportunity to thrive. #J-18808-Ljbffr

At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on… Our CRO division drives the commercial growth of Open Cosmos. The team works across business development, marketing, and customer success to connect with partners worldwide, understand their needs, and turn opportunities into space missions. Their work expands our reach and ensures we deliver meaningful impact for customers and end users. The Growth team acts as the powerhouse of the company, ensuring the immediate needs of the customers are swiftly met and the future ones are translated into a product roadmap and deliverable projects. Each member of the team combines a mix of programmatic, system engineering, and commercial skills with specific strengths. As a Mission Concept Engineer, you will support the definition and development of advanced space mission concepts, from early customer discussions through to fully developed proposals. You will play a central role in shaping missions with customers, translating their needs into technically robust and commercially viable solutions. This includes leading or contributing to satellite mission proposals, working closely with internal teams and external partners to build compelling, end-to-end mission architectures. You will: Define and develop mission concepts for commercial and institutional opportunities, covering space, ground, and launch segments Conduct orbital, power, and link budget analyses, performing trade-offs to assess technical feasibility and mission performance Support proposal preparation and bid writing, ensuring technical accuracy, coherence, and compliance with customer needs Collaborate with systems engineering, project management, and supply chain teams to validate assumptions and ensure deliverability Develop and maintain tools, models, and analytical frameworks to support mission definition, cost estimation, risk assessment, and performance modelling Gather and analyse technical and market intelligence, benchmarking comparable missions and technologies to inform concept design Contribute to internal process improvement, standardising templates, tools, and analysis methods Engage with customers, suppliers, and partners under guidance, contributing to technical discussions and reviews Sound understanding of space mission design principles, including orbit mechanics, payload definition, and system trade-offs Strong mathematical and analytical capability, with ability to perform calculations such as power, delta‑V, coverage, or link budgets Confidence in using modelling and simulation tools (e.g. MATLAB, Python, STK) Familiarity with systems engineering processes and cross‑segment mission integration Understanding of proposal development, technical writing, and documentation standards, with a strong ability to structure complex ideas clearly and communicate them concisely in writing Knowledge of remote sensing, telecommunications, or in‑orbit services missions is desirable For this role you can be based in any of our locations. Work at the cutting edge of space technology with customers around the globe A mission‑driven company making space accessible to help solve real‑world challenges A diverse, ambitious, and supportive team At Open Cosmos, we are dedicated to fostering a workplace built on respect, dignity, and belonging. As an equal opportunity employer, we actively challenge bias to ensure every candidate and employee feels truly welcome. We celebrate diversity in all its forms and are committed to maintaining an inclusive environment where everyone has the opportunity to thrive. #J-18808-Ljbffr

Experience with Microsoft Azure data services and Databricks, including technologies such as Azure Data Factory, Azure Data Lake Storage, Delta Lake, Python, and Py Spark. As a Data Engineer, your responsibilities include Build, implement, and automate efficient data ingestion pipelines that integra

Aim high, go beyond! At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on… Working in our Chief Revenue Office (CRO) Our CRO division drives the commercial growth of Open Cosmos. The team works across business development, marketing, and customer success to connect with partners worldwide, understand their needs, and turn opportunities into space missions. Their work expands our reach and ensures we deliver meaningful impact for customers and end users. The Growth team acts as the powerhouse of the company, ensuring the immediate needs of the customers are swiftly met and the future ones are translated into a product roadmap and deliverable projects. Each member of the team combines a mix of programmatic, system engineering, and commercial skills with specific strengths. What will you be doing? As a Mission Concept Engineer, you will support the definition and development of advanced space mission concepts, from early customer discussions through to fully developed proposals. You will play a central role in shaping missions with customers, translating their needs into technically robust and commercially viable solutions. This includes leading or contributing to satellite mission proposals, working closely with internal teams and external partners to build compelling, end-to-end mission architectures. You will: Define and develop mission concepts for commercial and institutional opportunities, covering space, ground, and launch segments Conduct orbital, power, and link budget analyses, performing trade-offs to assess technical feasibility and mission performance Support proposal preparation and bid writing, ensuring technical accuracy, coherence, and compliance with customer needs Collaborate with systems engineering, project management, and supply chain teams to validate assumptions and ensure deliverability Develop and maintain tools, models, and analytical frameworks to support mission definition, cost estimation, risk assessment, and performance modelling Gather and analyse technical and market intelligence, benchmarking comparable missions and technologies to inform concept design Contribute to internal process improvement, standardising templates, tools, and analysis methods Engage with customers, suppliers, and partners under guidance, contributing to technical discussions and reviews What You’ll bring Sound understanding of space mission design principles, including orbit mechanics, payload definition, and system trade-offs Strong mathematical and analytical capability, with ability to perform calculations such as power, delta-V, coverage, or link budgets Confidence in using modelling and simulation tools (e.g. MATLAB, Python, STK) Familiarity with systems engineering processes and cross-segment mission integration Understanding of proposal development, technical writing, and documentation standards, with a strong ability to structure complex ideas clearly and communicate them concisely in writing Knowledge of remote sensing, telecommunications, or in-orbit services missions is desirable For this role you can be based in any of our locations. To apply, you must have the legal right to work in your chosen location. Please submit your application and CV in English. Why Open Cosmos? Work at the cutting edge of space technology with customers around the globe A mission-driven company making space accessible to help solve real-world challenges A diverse, ambitious, and supportive team Equal opportunity employer At Open Cosmos, we are dedicated to fostering a workplace built on respect, dignity, and belonging. As an equal opportunity employer, we actively challenge bias to ensure every candidate and employee feels truly welcome. We celebrate diversity in all its forms and are committed to maintaining an inclusive environment where everyone has the opportunity to thrive. #J-18808-Ljbffr

We are looking for an International Finance BI and Data Architecture Lead to drive the transformation, harmonization, and globalization of finance reporting standards across Allianz Technology Group. You will lead a cross-functional team and build a scalable, governed analytics ecosystem powered by Power BI, Azure Data Lakes, SAP, SAP Analytics Cloud (SAC), and AI. You will act as the local go-to authority for data and analytics, and as the global bridge between the BI Reporting Centre of Excellence, Regional and Commercial Finance, Branches, and Subsidiaries. • Build, manage, and grow a cross-functional team spanning data engineering, product ownership, business analysis, and change management, developing talent and sustainable delivery capacity, • Lead the harmonization of finance reporting across entities, partnering with the BI Reporting Centre of Excellence and FPA to define global "golden KPIs", certified semantic models, and standardized BI workspaces with governed deployment pipelines, • Oversee the finance data layer design (Azure SQL, Databricks Lakehouse/ADLS Gen2, or hybrid) and coordinate SAP extraction pipelines, embedding security and governance by design (RLS/OLS, GDPR compliance), • Act as AI Ambassador: identify and pilot AI/ML use cases in international finance (predictive analytics, anomaly detection, forecasting), ensuring full compliance with the EU AI Act, • Drive adoption of Power Platform (Power Automate, Power Apps) and SAP Analytics Cloud to extend reporting into planning, budgeting, and predictive scenarios, • Lead end-to-end BI transformation projects, managing scope, timelines, budgets, and cross-functional teams across finance, data engineering, BI, and IT in multiple countries, • Design and execute change management strategies to drive adoption of new platforms and self-service analytics, presenting status and decision papers to senior management and CFO Transformation Leadership, • Proven experience hiring, building, and managing cross-functional teams across data engineering, BI, product ownership, and change management, • Strong knowledge of Power BI Desktop Service (semantic models, DAX, Power Query, RLS/OLS, deployment pipelines), plus Power Automate and Power Apps, • Solid understanding of data lake and cloud platforms (ADLS Gen2, Delta Lake, medallion architecture, Azure Data Factory, Databricks, Azure SQL), • Experience with SAP BW/ERP/S4HANA extraction and finance domains (general ledger, consolidation, controlling, planning, regulatory reporting), • Awareness of AI/ML applications in finance and the ability to evaluate use cases for value, feasibility, governance, and EU AI Act compliance, • 3+ years in finance transformation or digitalization, with Agile delivery experience (Scrum/Kanban); Scrum Master experience is a plus, • Degree in Finance, Business, Data Science, or Computer Science, • English C1, • Basic knowledge of AI technologies, principles, and their practical use We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad. We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location). From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization - from one of the industry's largest IT infrastructure projects that spans data centers, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz. Find us at: Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life. Ultimately, our greatest strength as a company lies in the unique skills, experiences, and backgrounds our employees contribute. Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters. When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz. #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

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! Newrest, 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 autopistas Más que una empresa, Newrest encarna una familia, con el 97% de su capital en manos de más de 700 empleados. • Número de empleados: 1300, • Actividades principales: catering aéreo y ferroviario, • Clientes clave: American Airlines, Emirates, Delta, Binter, Air Nostrum, Ouigo, por mencionar sólo algunos Estamos buscando un(a) Responsable del departamento Calidad y Prevención de Riesgos Laborales (M/H) Reportarás a Gerencia de Barcelona y Directora de QHSE España • 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

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! Newrest, 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 autopistas Más que una empresa, Newrest encarna una familia, con el 97% de su capital en manos de más de 700 empleados. • Número de empleados: 1300, • Actividades principales: catering aéreo y ferroviario, • Clientes clave: American Airlines, Emirates, Delta, Binter, Air Nostrum, Ouigo, por mencionar sólo algunos Estamos buscando un(a) Responsable del departamento Calidad y Prevención de Riesgos Laborales (M/H) Reportarás a Gerencia de Barcelona y Directora de QHSE España • 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

Senior Ecommerce Growth StrategistResponsibilitiesBe willing to put in the hard work required and be hungry enough to go through the kick‑off.Be ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high‑leverage new skill.Take feedback and implement it fast.Finish the work to the fullest with quality and on time.Perseverance.Remember and learn from the repetitive doing of the exercises.Align with the team and contribute to the Brain Trust for ideas across clients.Manage, align & work with the team members of your pod including Google strategist, Creative Strategist, and Email Strategist.Organize, prioritize, and manage multiple tasks with great attention to detail.Maintain data integrity of your clients across Statlas.Be responsible for the execution of the Prophet system for your clients.Build a Growth Forecast for your clients (Growth map, Data Analysis, Marketing calendar alignment).Perform daily execution and actualisation vs the forecast; deconstruct and adjust projections to meet KPIs.Combine data analysis and client feedback to develop strategic plans for the future; pivot quickly as an early adopter.Lead in situations that present any obstacle to execution; solve problems with creative and resilient approaches.Implement CTC's Meta best practices; build campaigns using our structure and best practices.Monitor active campaigns and adjust budgets and strategy to ensure best possible chance of hitting daily projected targets.Implement tests in your accounts to beat best‑performing campaigns.Ensure a 5% delta to the forecast and daily alignment with the client & strategy.Ensure above‑benchmark client satisfaction and follow the Prophet system execution to 100% within required timelines.Deliver all work based on the timeline assigned with optimal quality & attention to detail.Champion communication: keep the client aligned on the Growth Map goals and next steps, send daily performance updates, and provide weekly updates on strategy calls.Contribute learnings back to the system for continuous improvement; collaborate in ideas and learning across teams.Achieve certification and confidence in our ideology by the end of training, ensuring precise execution of the Prophet system.Consistently deliver high‑accuracy performance within a 5% delta across the Prophet system's Growth Map and Statlas.Lead and collaborate with your team to optimize productivity and maintain high‑performance standards.Apply best practices in media buying to drive outstanding results, maintaining client satisfaction above benchmark rates.Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution.Meet all deadlines and budget requirements, ensuring timely and on‑target performance.Contribute valuable ideas to team discussions and company‑wide content, supporting growth and innovation.QualificationsFluent in English, with proven ability to communicate persuasively and present ideas clearly to various stakeholders.Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence.Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision‑making.Strong raw talent for data analysis, with an eagerness to learn and improve.Familiarity with data tools, including Google Sheets, and flexibility to develop advanced skills through on‑the‑job experience.Historical expertise that compounds to bring a well‑rounded perspective and add value to the role.Experience from domains such as mathematics, data analytics, business operations, retail, finance, media buying, etc.Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems.Naturally adept at dissecting issues and proposing practical, impactful solutions.Passionate about e‑commerce and eager to contribute to a high‑performing team at the forefront of the industry.Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact.Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy.Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle.Demonstrates adaptability and unyielding determination to get things done, regardless of obstacles, time constraints, or resources.Embodies an “unimpeachable” character: consistently honest, humble, self‑aware, takes full ownership, and values constructive feedback.Acts as an autodidact: naturally curious, absorbs information quickly, embraces feedback, and works independently without constant oversight.CompensationCompetitive compensation with a structured performance‑based component, to be discussed during the interview process.Location & EnvironmentFully remote with the ability to pick your schedule.Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth.Exceptional work is recognized and rewarded, with weekly check‑ins for accountability, ensuring you are consistently challenged and engaged with new opportunities daily.#J-18808-Ljbffr

Delta Electronics busca un/a Service Manager – Data Center Solutions para dirigir el servicio técnico en España, liderando un equipo de Field Service Engineers y garantizando la disponibilidad y rendimiento de soluciones UPS/SAI y Power Crítico en entornos Data Center.

Sobre el puesto Sobre el puesto Delta Electronics busca un/a Service Manager – Data Center Solutions para liderar el servicio técnico en España, combinando amplia experiencia práctica en UPS/SAI y Critical Power con liderazgo de equipos y gestión de servicios y proyectos de Data Center. Muy va