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Overview As an Expert Digital & Tech Technical Data Steward, you will lead enterprise data governance and management across cataloging, quality, metadata and lineage, and access controls. You will augment domain squads with hands-on technical stewardship to ensure harmonized, scalable data practices aligned with business needs. You’ll drive improvements in data health, support data products and use-cases, and embed reliable governance into domains to enable trusted decision-making. This role targets impact at scale within a science-led, collaborative culture that values continuous improvement and data-driven insight. Compensaciones / Beneficios • unique career paths across health, nutrition and beauty, • impact millions of consumers with sustainability focus, • science-led company and cutting-edge research, • growth and leadership development, • collaborative culture with shared wins, • voice and inclusion celebrated Responsabilidades, • Execute domain-driven data consolidation, harmonization, and assessment initiatives; track issues, risks, and mitigations, • Define, monitor, and report data quality metrics; design and maintain data integration workflows including rules migration to IDMC, • Own documentation and updates in Informatica for metadata, definitions, and tagging; ensure alignment with domain ownership, • Establish and validate end-to-end data lineage to reveal upstream/downstream impacts, • Coordinate technical data cleansing, perform root-cause analysis, and implement domain-aligned workflows with SLAs, • Support data access around classification policies; enforce approvals and auditability patterns, • Provide technical guidance during data product/use-case delivery (profiling, fit-for-purpose assessments), • Contribute to Data Health dashboards and DQ metric implementations; champion data trust and compliance, • Foster collaboration, share knowledge, and drive continuous improvement with reusable libraries and playbooks Requisitos principales, • 5+ years in Data Quality, Data Stewardship, and Data Management in complex environments, • Deep expertise in data quality methodologies, including DQ dimensions, KPIs, and data profiling, • Practical knowledge of data cataloging, metadata management, and lineage; experience with GDPR and SOX, • Advanced hands-on experience with Informatica IDMC (CDQ, CDGC, Data Profiling, DI, DP, Data Marketplace), • Solid SQL, Python, Databricks proficiency; cloud platforms (preferably AWS), • Strong understanding of DAMA and DCAM frameworks and translating standards into controls, • Demonstrated stakeholder management, cross-functional collaboration, and analytical continuous-improvement mindset, • stakeholder management, • coaching and cross-functional collaboration, • analytical mindset, • Informatica IDMC, • SQL, • Python

Overview As a Data & AI Architect at Zurich TDC, you will design and lead data and AI solutions for local and global customers, predominantly on cloud platforms (AWS and Azure). You’ll align architectures with enterprise standards, guide implementation, and contribute to architectural governance. You’ll work with cross-functional teams to ensure scalable, robust data and AI capabilities that support Zurich’s strategic goals. This role offers hands-on influence over technology choices and patterns in a collaborative, innovative environment. Compensaciones / Beneficios • flexible working model, • home office allowance, • training and language classes, • health insurance, • life and accident insurance, • retirement plan Responsabilidades, • Design end-to-end data and AI architectures (As-Is/To-Be) for products and platforms, • Evaluate options against standards and reuse components to accelerate delivery, • Provide architectural guidance for data and AI use cases across teams, • Translate designs into detailed specifications and assess change impacts, • Produce architecture documentation and contribute to standards and patterns, • Support governance, architecture reviews, and cross-functional collaboration Requisitos principales, • Experience architecting data and AI solutions, • Data modelling experience (3rd normal form, data vault, dimensional modelling), • Experience with data pipeline tools (Azure Data Factory, SSIS, Informatica, Databricks, Snowflake, AWS Glue), • Database and lake experience (Azure SQL, DB2, Azure Data Lake, Databricks lakehouse, Snowflake, AWS RDS), • Azure and/or AWS experience, • Knowledge of CI/CD and Infrastructure as Code (Terraform) is advantageous, • Containers and orchestration (AKS/EKS) advantageous, • APIs, Power BI, Python/Scala/SQL knowledge advantageous, • Insurance industry experience advantageous, • Analytical and problem-solving capabilities; proactivity, • Excellent English and communication skills, • Willingness to adopt new technologies and architectures, • Analytical thinking, • Proactivity, • Effective communication, • Azure Data Factory, • SSIS, • Informatica

Overview As an Expert Digital & Tech Technical Data Steward, you will lead enterprise data governance and management across cataloging, quality, metadata and lineage, and access controls. You will augment domain squads with hands-on technical stewardship to ensure harmonized, scalable data practices aligned with business needs. You’ll drive improvements in data health, support data products and use-cases, and embed reliable governance into domains to enable trusted decision-making. This role targets impact at scale within a science-led, collaborative culture that values continuous improvement and data-driven insight. Compensaciones / Beneficios • unique career paths across health, nutrition and beauty, • impact millions of consumers with sustainability focus, • science-led company and cutting-edge research, • growth and leadership development, • collaborative culture with shared wins, • voice and inclusion celebrated Responsabilidades, • Execute domain-driven data consolidation, harmonization, and assessment initiatives; track issues, risks, and mitigations, • Define, monitor, and report data quality metrics; design and maintain data integration workflows including rules migration to IDMC, • Own documentation and updates in Informatica for metadata, definitions, and tagging; ensure alignment with domain ownership, • Establish and validate end-to-end data lineage to reveal upstream/downstream impacts, • Coordinate technical data cleansing, perform root-cause analysis, and implement domain-aligned workflows with SLAs, • Support data access around classification policies; enforce approvals and auditability patterns, • Provide technical guidance during data product/use-case delivery (profiling, fit-for-purpose assessments), • Contribute to Data Health dashboards and DQ metric implementations; champion data trust and compliance, • Foster collaboration, share knowledge, and drive continuous improvement with reusable libraries and playbooks Requisitos principales, • 5+ years in Data Quality, Data Stewardship, and Data Management in complex environments, • Deep expertise in data quality methodologies, including DQ dimensions, KPIs, and data profiling, • Practical knowledge of data cataloging, metadata management, and lineage; experience with GDPR and SOX, • Advanced hands-on experience with Informatica IDMC (CDQ, CDGC, Data Profiling, DI, DP, Data Marketplace), • Solid SQL, Python, Databricks proficiency; cloud platforms (preferably AWS), • Strong understanding of DAMA and DCAM frameworks and translating standards into controls, • Demonstrated stakeholder management, cross-functional collaboration, and analytical continuous-improvement mindset, • stakeholder management, • coaching and cross-functional collaboration, • analytical mindset, • Informatica IDMC, • SQL, • Python

Gracia101 Talent Solutions is seeking an MDm Consultant for a global organization based in Barcelona. You will design and maintain Master Data Management processes to meet business needs and promote consistency across the company. The role acts as the key liaison with IT and MDM Technical Solutions to implement, support and improve MDM solutions, using SAP and Informatica, and to ensure data readiness and governance. #J-18808-Ljbffr

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. 103751 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent 130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it. Role Overview We are looking for a Data Architect (m/f/d) to join Allianz Services Spain, contributing to the Data & AI Service through the definition of architecture standards, reference designs, and data platform blueprints. The role focuses on defining, documenting and governing modern data architectures across platforms, data products, data governance, and AI integration, aligned with Allianz Group standards. What you do: • Define and maintain architecture standards, blueprints and reference architectures aligned with Group Data strategy. Produce clear and actionable architectural documentation (principles, guardrails, patterns) for engineering and data teams., • Translate complex architecture topics into consumable guidance for technical and business stakeholders and design modern data platform architectures (e.g., lakehouse, data mesh, self-service data platforms)., • Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), contribute to standardization of Azure-based data platforms and cloud-native architectures and define integration patterns for data catalogues, lineage and governance tooling; Ensure alignment with data governance frameworks, data quality and compliance requirements., • Support definition of monitoring and telemetry patterns for data reliability and compliance and define standards for data products, including data contracts, quality controls, and lifecycle management., • Support implementation patterns for reusable and interoperable data products to contribute to cross-entity data sharing models and architectural guardrails., • Define architectural patterns for integrating data platforms with AI/ML and GenAI solutions whilst also making sure data products are AI-ready (APIs, semantic layers, interfaces); Contribute to responsible AI and governance-aligned architecture principles., • Provide architectural guidance to engineering teams and stakeholders within Allianz Services delivery model. What you bring: • University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)., • 5-8 years of hands-on experience in data architecture, data engineering, or enterprise architecture roles., • Strong command of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture, event-driven patterns) and practical experience with cloud-native data platforms (Databricks and/or Microsoft Fabric strongly preferred)., • Experience designing and governing Data Products (data contracts, output ports, semantic versioning, quality gates, lineage), familiarity with enterprise data governance frameworks (DAMA-DMBOK, TOGAF or equivalent) and their practical application., • Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS 17, Solvency II awareness welcomed). Working knowledge of Open Table Formats (Delta Lake, Apache Iceberg) and their role in enterprise storage standards., • Experience with data cataloguing and governance tooling (e.g., Informatica IDMC, Unity Catalogue, or comparable platforms) and an understanding of how Data Products connect to AI/ML pipelines, GenAI applications, and agentic systems., • Awareness of API and integration standards (REST, OpenAPI, MCP- Model Context Protocol, event-streaming such as Kafka/AsyncAPI); Comfortable presenting architectural concepts and facilitating discussions with architects, engineers, and stakeholders within a structured delivery model., • Strong written communication skills with ability to produce clear, structured, and high-quality architectural documentation, collaborative working style with ability to operate in a matrixed, multinational organization., • We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team. What we offer: • 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. About Allianz Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. #LI-IT2

Overview In this role you lead data quality governance for the SE Intel data platform, enabling trusted data across 10,000+ users. You will shape the end-to-end data quality framework and translate governance rules into actionable dashboards for executives, product owners, and stream leaders. You drive monitoring, RCA, and preventive actions while guiding a cross-functional team through Agile delivery. This is a chance to shape data quality at scale within Schneider Electric’s digital transformation and data-driven performance initiatives. You will work closely with senior stakeholders to align data quality with business value and product roadmaps. Compensaciones / Beneficios • flexible schedule, • hybrid work, • Wellwo wellness platform, • Wellhub gym network, • health insurance, • stock ownership program Responsabilidades, • Define and own the end-to-end data quality framework for SE Intel, • Design data quality monitoring rules across sources and KPIs (Digital Flywheel, Vitality Index, Opportunities), • Create and maintain data quality checks and dashboards per data source, • Lead backlog prioritization and participate in sprint planning and Agile ceremonies, • Manage a cross-functional team of Data Engineers, Analysts, and Visualization Developers, • Run monthly data quality disclosures, perform RCA on data quality failures, and drive preventive actions, • Act as internal data governance expert and communicate results to ExCom and stakeholders, • Run change management to drive adoption of data quality standards across the SE Intel user community, • Collaborate with data offices, stream leaders, and product owners to ensure data quality aligns with roadmaps, • Support secure data extraction and enforce data security protocols Requisitos principales, • Master’s degree in a technical field, • Mandatory: data quality, data governance, or data engineering experience, • Advanced SQL skills, • Experience with SAP SD data model, Salesforce, Tableau, Informatica Cloud, AWS/Redshift, • Experience managing cross-functional teams and Agile project management, • Strong leadership and communication skills with exposure to ExCom, • Experience with global teams, • Data governance certification a plus, • GenAI/AI data quality exposure a plus, • leadership, • communication, • stakeholder engagement, • data quality governance, • SQL, • SAP SD data model

Overview As a Senior Data & Informatica Architect, you will define and govern complex enterprise architectures across cloud and on‑prem environments. You will lead architectural decisions for data, integration, and applications, ensuring secure, scalable, and resilient solutions. You’ll shape data models, warehouses, data lakes, and API/middleware layers, aligning with governance and regulatory requirements. This role combines hands‑on design with cross‑functional leadership to enable multi‑cloud and hybrid transformations. You’ll join a global, innovation‑driven team delivering impactful platforms and data strategies. Compensaciones / Beneficios • Remote within Spain, • CET working hours, • multicultural team, • international projects Responsabilidades, • Design and define complex enterprise architectures including microservices, cloud, integration, hybrid environments, Data Warehouses, Data Lakes, and data models, • Define scalable, secure architecture solutions across cloud and on‑premises environments, • Provide architectural leadership across data, integration, and application initiatives, • Design and oversee API and middleware architectures for reliable system integration, • Define data architectures and data modelling strategies for analytical environments, • Work with relational databases such as SQL Server and Oracle, • Ensure solutions meet standards for security, scalability, performance, and resilience, • Establish and promote data governance and data security practices (data lineage, masking, role management, access control), • Ensure GDPR and EU AI Act compliance, • Define and manage access to data and technology environments across cloud and on‑premises, • Evaluate emerging technologies for business/technical value, • Collaborate with engineering, data, security, DevOps, and business teams for architectural alignment, • Provide technical guidance and contribute to architecture standards, best practices, and roadmaps Requisitos principales, • Strong experience designing complex enterprise architectures, • Microservices and distributed architectures, • Data Warehouse and Data Lake architectures, • Hybrid cloud and on‑premises architectures, • Advanced data modelling, • Data integration and enterprise integration patterns, • APIs and middleware technologies, • SQL Server and Oracle, • Advanced knowledge of at least one major cloud platform (AWS, Azure, GCP), • collaboration with cross‑functional teams, • architectural leadership, • strategic thinking and problem solving, • Enterprise architecture design, • Microservices, • Data Warehouse (DWH) and Data Lake

As a Senior Data & Informatica Architect, you will define and govern complex enterprise architectures across cloud and on‑prem environments.

As a Senior Data & Informatica Architect, you will define and govern complex enterprise architectures across cloud and on‑prem environments.

Overview Join Grifols to shape enterprise data governance and MDM capabilities across key domains. You will collaborate with IT and business teams to ensure trusted, reusable data that supports analytics, AI readiness, and regulated operations. You’ll drive data quality, cataloging, and lineage to enable cross-functional decision making at a global scale. This role offers impact in a mission-driven healthcare company with a hybrid work model and opportunities to lead data-driven transformation. Compensaciones / Beneficios • benefits package, • hybrid work model, • permanent contract, • location: Parets del Vallès, • diversity and equal opportunity, • adjustments in selection process upon request Responsabilidades, • Define and evolve Master Data Management (MDM) across customer, supplier, product, material, donor, employee and location domains, • Define golden record rules, matching, survivorship, hierarchy management and data synchronization across systems, • Collaborate with Data Engineering and application teams to integrate master data with ERP, CRM, analytics platforms, data lakes and data warehouses, • Design and operate MDM workflows for data creation, change, approval, exception handling, de-duplication and lifecycle management, • Support the implementation of data governance policies, standards, ownership and stewardship, • Define and monitor data quality rules, KPIs, remediation processes to improve accuracy, completeness, consistency, timeliness and trust, • Identify root causes of data issues and drive corrective actions at the source, • Ensure data initiatives consider security, privacy, auditability and regulatory compliance in a highly regulated environment, • Experience building data catalogs for lake house environments and documenting high-value analytical datasets, • Define business ontologies, semantic models and controlled vocabularies for data consistency and AI-readiness across domains, • Knowledge of AI governance concepts, privacy-by-design and regulatory expectations such as the EU AI Act, • Support the data transformation roadmap and adoption plans across IT and business domains, • Contribute to a hybrid/federated data operating model balancing central standards with domain execution, • Coordinate with Data Office, IT teams, business stakeholders and external partners for consistent execution, • Promote adoption of glossaries, data dictionaries, metadata standards and cataloging practices, • Document critical data flows, lineage, transformations, ownership, usage, controls and dependencies across systems, • Establish reusable templates and standards for documenting data architecture, MDM domains and governance processes Requisitos principales, • Bachelor in Computer Science, • Minimum 5 years of experience in data management, MDM, data governance, data quality, data architecture or enterprise data transformation, • Experience with MDM platforms such as Reltio, SAP MDG, Informatica MDM, Semarchy, Profisee or similar, • Knowledge of data governance frameworks, data ownership, stewardship, data quality management, metadata management and lineage, • Experience with Microsoft Purview, • Understanding of data integration patterns, APIs, ETL/ELT and ERP integration, • Advanced English language skills, • Strong ownership mindset and ability to drive topics from ambiguity to execution, • Excellent stakeholder management and communication skills; ability to influence across business and IT teams, • Facilitation skills to align perspectives and translate complex data topics into actionable decisions, • Experience operating in a matrixed, global organization across geographies and time zones, • Pragmatic, structured, delivery-oriented with balance between governance discipline and business agility, • Continuous improvement mindset and willingness to build internal capability through knowledge transfer, • ownership mindset, • stakeholder management, • communication, • MDM platforms: Reltio, SAP MDG, Informatica MDM, Semarchy, Profisee, • Microsoft Purview, • data catalogs and governance tools

Hexagon’s Geosystems Business Area provides digital solutions that capture, measure and visualise the physical world, enabling data-driven transformation. The Customer Data Steward supports Hexagon I&G's Customer Master Data (CCMD) programme by owning data quality & key business processes for a defined customer data domain. The candidate should have experience working within a global organisation serving multiple interconnected businesses across sales, marketing, finance, IT, and digitalisation. As a key member of our team, you will be the first point of escalation for customer data quality issues, working closely with the Customer Master Data Manager to trace issues back to source systems and processes. The successful candidate will help maintain data standards, support deduplication and matching rules, and report on data quality trends to drive continuous improvement across the business. 100% • Data Quality Ownership: Own data quality for a defined customer data domain, ensuring accuracy, completeness, and consistency of customer records., • Domain Ownership &Roadmap: Take end-to-end ownership of the customer data domain, defining and managing a long-term roadmap for data quality and process change, and prioritising initiatives in line with wider CCMD programme goals., • Escalation Management: Act as the first point of escalation for data quality issues and exceptions, coordinating resolution with business and IT stakeholders., • Root Cause Analysis: Work with the Customer Master Data Manager to trace data quality issues back to their source, identifying and addressing underlying process and system gaps., • Data Standards & Documentation: Maintain and contribute to data standards, business glossaries, and data dictionaries, including naming conventions, mandatory fields, and classification schemes., • Deduplication & Matching: Support the definition and refinement of deduplication and matching rules to improve golden record creation., • Reporting: Report on data quality metrics and trends, using dashboards and exception reports to highlight areas for improvement., • Stakeholder Collaboration: Work across sales, marketing, finance, IT, and digitalisation to resolve data conflicts and champion changes to processes and systems., • Change Management: Support the rollout of new data standards and processes to business users, translating technical issues into business language to aid adoption., • Prior experience in a data steward, data quality analyst, or MDM analyst role., • Strong data governance mindset; understands data as a business asset and applies stewardship principles consistently across systems., • Excellent attention to detail, able to spot inconsistencies, duplicates, and quality issues others miss., • Understanding of master data management (MDM) concepts, including golden record creation, mastering rules, and matching/deduplication logic., • Experience with MDM or CRM platforms (e.g. Salesforce, SAP, Profisee, Boomi, Informatica)., • Experience with data quality tooling – profiling, validation, and monitoring via dashboards and exception reports., • SQL or query-based data investigation skills., • Understanding of data models, including customer hierarchies, account types, industry classifications, and contact relationships., • Familiarity with data privacy/compliance requirements (GDPR or equivalent) as they apply to customer data., • Experience defining or applying customer data standards and working within or supporting a customer master data programme., • Track record of working with both business and IT stakeholders to resolve data ownership and quality issues., • Strong communication skills; able to translate technical issues to business language to support divisional and region adoption., • Fluent in English is a must. Hexagon is a leading provider of digital reality solutions and employs more than 24,000 people in 50 countries. You will be part of a strong, experienced, inspiring and motivated team of experts working together to shape the future of Hexagon. You can utilise and develop your skills in our highly innovative and diverse environment. Flexible working models allow you to ideally combine your professional and private interests. If you have any questions, please do not hesitate to contact Dominik Kung, Talent Acquisition Partner. #J-18808-Ljbffr

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job The SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. The ecosystem optimizes finance data management through key components: structured data storage (Staging Area, Raw Data Vault, Business Data Vault), customized feeder system integrations, seamless SAP connectivity via Azure functions, and a PowerBI-enabled reporting layer for in-depth analysis and data lineage transparency. It features Master and Reference Data Management (Informatica IDMC), rigorous data quality checks, and the SimpliFi Studio interface for user-friendly manual uploads and pipeline monitoring, ensuring data accuracy, reliability, and operational efficiency. What you do • Define and enforce data engineering standards - pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions., • Design and oversee end-to-end data pipelines: ingestion, transformation, loading. In SimpliFi terms, this means owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers - often spanning tools like Databricks, Azure Synapse, and IDMC., • Accountable for data quality at the pipeline level - defining checks, monitoring and resolving data issues before they propagate downstream., • Guide junior/mid engineers, sets the bar for code quality, and conducts reviews. A key multiplier for team capability., • Work closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent., • Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant., • Act as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles. What you bring • Hands-on expertise building and operating large-scale pipelines - batch and streaming. Proficiency in tools like Apache Spark, Kafka, Airflow and cloud-native equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms -Databricks, Azure Synapse, or equivalents. Understands partitioning, clustering, query optimisation., • Deep working knowledge of at least one major cloud Azure - compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks)., • Solid grasp of modelling paradigms - relational, dimensional (Kimball), and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts), and familiarity with Scala or PySpark for distributed workloads., • Experience implementing DQ rules, profiling, and monitoring - ideally with tools like Acceldata, Great Expectations, or Monte Carlo., • Understanding of master and reference data flows - how golden records are created, maintained, and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus., • CI/CD for data pipelines (GitHub Actions, Azure DevOps), version control discipline, infrastructure-as-code basics (Terraform), and containerisation (Docker/Kubernetes awareness)., • Able to read and contribute to architecture documents - understands layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand-holding. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview), and access controls. Experience navigating governance frameworks and gate processes, • Familiarity with Machine learning is a strong advantage. What we offer • 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. About Allianz Technology 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 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: www.linkedin.com/company/allianz-technology. Commitment to Integrity, Fairness & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. To Recruitment Agencies 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. 100384 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job The Data Governance Operations Lead is responsible for ensuring the effective execution, coordination and continuous improvement of Allianz Technology's Data Governance operating model. Operating across a global and highly regulated environment, this role serves as the operational backbone of the Data Governance function, ensuring that governance commitments, regulatory requirements, audit actions, remediation plans and branch onboarding activities are executed consistently, transparently and on time. The role works closely with Data Domain Owners, Branch stakeholders, Risk Management, Compliance, Audit and Technology teams to drive accountability, governance adoption and delivery excellence across the organization. By establishing a scalable governance operating model, this role sits at the core of how Data Governance operates and scales across Allianz Technology, directly shaping the function's ability to deliver, build trust with stakeholders, and evolve into a genuine business enabler. What you do • Lead the operational execution of the Allianz Technology Data Governance framework across all domains., • Coordinate and drive governance, data quality and regulatory compliance activities, ensuring consistent execution across the organization., • Lead and coordinate the Data Governance operations team on a day-to-day basis, managing priorities, dependencies and deliverables across workstreams, while working closely with the Data Governance Strategy Lead to ensure alignment on strategic initiatives involving the same team members., • Monitor governance commitments, risks, audit actions and remediation plans, ensuring timely escalation and closure of delivery blockers., • Establish governance and data quality reporting, KPIs and continuous improvement initiatives to increase transparency, efficiency and scalability of the operating model. What you bring • 8+ years of experience in Data Governance, Compliance, Risk Management, Internal Controls, Program Management or related disciplines., • Strong understanding of Data Governance and Data Quality operating models, including Data Ownership, Metadata Management, Governance Controls and data accountability frameworks., • Experience leading and developing distributed teams, setting priorities and providing day-to-day direction., • Proven experience coordinating complex cross-functional initiatives in regulated and international environments., • Strong stakeholder management, communication and delivery management skills, with the ability to drive accountability across distributed teams., • Strong analytical and problem-solving capabilities, including experience with reporting, KPIs and operational performance management., • Experience with data governance and workflow tooling (e.g. Informatica IDMC, Databricks Unity Catalog, Power BI, JIRA/Confluence) and process automation initiatives is considered an advantage., • Basic knowledge of AI technologies, principles and their practical use. What we offer • 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. About Allianz Technology 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 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: www.linkedin.com/company/allianz-technology. Commitment to Integrity, Fairness & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. To Recruitment Agencies 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. 104436 | Operations | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. 103751 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent 130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it. Role Overview We are looking for a Data Architect (m/f/d) to join Allianz Services Spain, contributing to the Data & AI Service through the definition of architecture standards, reference designs, and data platform blueprints. The role focuses on defining, documenting and governing modern data architectures across platforms, data products, data governance, and AI integration, aligned with Allianz Group standards. What you do: • Define and maintain architecture standards, blueprints and reference architectures aligned with Group Data strategy. Produce clear and actionable architectural documentation (principles, guardrails, patterns) for engineering and data teams., • Translate complex architecture topics into consumable guidance for technical and business stakeholders and design modern data platform architectures (e.g., lakehouse, data mesh, self-service data platforms)., • Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), contribute to standardization of Azure-based data platforms and cloud-native architectures and define integration patterns for data catalogues, lineage and governance tooling; Ensure alignment with data governance frameworks, data quality and compliance requirements., • Support definition of monitoring and telemetry patterns for data reliability and compliance and define standards for data products, including data contracts, quality controls, and lifecycle management., • Support implementation patterns for reusable and interoperable data products to contribute to cross-entity data sharing models and architectural guardrails., • Define architectural patterns for integrating data platforms with AI/ML and GenAI solutions whilst also making sure data products are AI-ready (APIs, semantic layers, interfaces); Contribute to responsible AI and governance-aligned architecture principles., • Provide architectural guidance to engineering teams and stakeholders within Allianz Services delivery model. What you bring: • University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)., • 5-8 years of hands-on experience in data architecture, data engineering, or enterprise architecture roles., • Strong command of modern data platform architectures (Data Mesh, Data Lakehouse, medallion architecture, event-driven patterns) and practical experience with cloud-native data platforms (Databricks and/or Microsoft Fabric strongly preferred)., • Experience designing and governing Data Products (data contracts, output ports, semantic versioning, quality gates, lineage), familiarity with enterprise data governance frameworks (DAMA-DMBOK, TOGAF or equivalent) and their practical application., • Understanding of regulatory data requirements relevant to financial services or insurance (DORA, IFRS 17, Solvency II awareness welcomed). Working knowledge of Open Table Formats (Delta Lake, Apache Iceberg) and their role in enterprise storage standards., • Experience with data cataloguing and governance tooling (e.g., Informatica IDMC, Unity Catalogue, or comparable platforms) and an understanding of how Data Products connect to AI/ML pipelines, GenAI applications, and agentic systems., • Awareness of API and integration standards (REST, OpenAPI, MCP- Model Context Protocol, event-streaming such as Kafka/AsyncAPI); Comfortable presenting architectural concepts and facilitating discussions with architects, engineers, and stakeholders within a structured delivery model., • Strong written communication skills with ability to produce clear, structured, and high-quality architectural documentation, collaborative working style with ability to operate in a matrixed, multinational organization., • We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team. What we offer: • 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. About Allianz Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. #LI-IT2

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job The SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. The ecosystem optimizes finance data management through key components: structured data storage (Staging Area, Raw Data Vault, Business Data Vault), customized feeder system integrations, seamless SAP connectivity via Azure functions, and a PowerBI-enabled reporting layer for in-depth analysis and data lineage transparency. It features Master and Reference Data Management (Informatica IDMC), rigorous data quality checks, and the SimpliFi Studio interface for user-friendly manual uploads and pipeline monitoring, ensuring data accuracy, reliability, and operational efficiency. What you do • Define and enforce data engineering standards - pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions., • Design and oversee end-to-end data pipelines: ingestion, transformation, loading. In SimpliFi terms, this means owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers - often spanning tools like Databricks, Azure Synapse, and IDMC., • Accountable for data quality at the pipeline level - defining checks, monitoring and resolving data issues before they propagate downstream., • Guide junior/mid engineers, sets the bar for code quality, and conducts reviews. A key multiplier for team capability., • Work closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent., • Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant., • Act as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles. What you bring • Hands-on expertise building and operating large-scale pipelines - batch and streaming. Proficiency in tools like Apache Spark, Kafka, Airflow and cloud-native equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms -Databricks, Azure Synapse, or equivalents. Understands partitioning, clustering, query optimisation., • Deep working knowledge of at least one major cloud Azure - compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks)., • Solid grasp of modelling paradigms - relational, dimensional (Kimball), and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts), and familiarity with Scala or PySpark for distributed workloads., • Experience implementing DQ rules, profiling, and monitoring - ideally with tools like Acceldata, Great Expectations, or Monte Carlo., • Understanding of master and reference data flows - how golden records are created, maintained, and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus., • CI/CD for data pipelines (GitHub Actions, Azure DevOps), version control discipline, infrastructure-as-code basics (Terraform), and containerisation (Docker/Kubernetes awareness)., • Able to read and contribute to architecture documents - understands layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand-holding. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview), and access controls. Experience navigating governance frameworks and gate processes, • Familiarity with Machine learning is a strong advantage. What we offer • 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. About Allianz Technology 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 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: www.linkedin.com/company/allianz-technology. Commitment to Integrity, Fairness & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. To Recruitment Agencies 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. 100384 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

• Location: Barcelona, Spain Are you passionate about data integrity, governance, and enabling the next generation of AI-driven capabilities? Join Sanofi in one of our corporate functions and play a pivotal role in safeguarding the quality, consistency, and reliability of global Human Capital data. As a Data Quality and AI Readiness Product Analyst within Data Governance & Master Data Management, you will sit at the intersection of data governance, Human Capital technology, and process excellence — driving proactive risk management, resolving global data issues, and ensuring our data is ready to power both operational decisions and AI-driven innovation. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? • Assess and document the downstream impact of data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs, • Conduct structured root cause analyses to distinguish between isolated data errors and systemic issues requiring process or configuration-level intervention, • Partner closely with the Global Process Owner (GPO) and Workday Technology teams to define and implement structural fixes, whether through process redesign, system configuration changes, or governance policy updates, • Serve as a bridge between data operations and technical teams, translating business data quality requirements into actionable technical specifications, • Prepare, validate, and execute data correction actions and remediation loads in compliance with data governance standards and change management protocols, • Monitor the ongoing adoption of global HR data standards across regions, business units, and functional teams, • Proactively detect and flag the re-introduction of local deviations, non-standard values, or workarounds that undermine global data consistency, • Identify and elevate risks to data consistency, AI readiness, and global reporting accuracy at the earliest possible stage, • Support organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering, and data profiling, • Design, build, and maintain automated data validation routines and anomaly detection scripts to reduce reliance on manual data quality checks, • Produce clear, structured investigation outputs following a consistent framework: Issue → Root Cause → Risk → Recommendation, • 3–5 years of experience in data quality, data governance, HR data management, or a related analytical role, • Demonstrated experience working with Workday HCM or comparable enterprise HR platforms (Workday certification or formal training highly valued), • Proven track record of conducting data investigations and delivering structured, actionable findings, • Experience working in a global, matrixed organization with cross-functional stakeholders, • Proficiency in data analysis tools such as Excel/Power Query, SQL, or equivalent, • Experience with Workday reporting, calculated fields, and data auditing capabilities, • Familiarity with data remediation processes, including mass data loads and EIB (Enterprise Interface Builder) or equivalent, • Understanding of HR data domains: employee records, organizational structures, compensation, payroll inputs, and workforce reporting, • Exposure to AI/ML data readiness concepts and understanding of how data quality impacts model performance, • Experience with data quality platforms or monitoring tools (e.g., Informatica, Collibra, Ataccama, or similar), • Experience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes, • Knowledge of GDPR, data privacy regulations, and their implications for HR data management, • Strong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision, • Strong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership, • Strong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT, • Degree in Information Systems, Data Management, Human Resources, Business Administration, or a related field #J-18808-Ljbffr

About The Job The SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. What You Do Implement data pipelines in line with established engineering standards — pipeline design patterns, naming conventions, and modelling approaches (e.G. Data Vault). Apply architecture decisions made at Lead level and translate them into working, maintainable solutions. Build and maintain end-to-end data pipelines across ingestion, transformation, and loading. In SimpliFi terms, this means developing and owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — working hands‑on with tools such as Databricks, Azure Synapse and IDMC. Responsible for data quality within their pipeline scope — implementing checks, identifying issues early, and resolving them before they propagate downstream. Escalate systemic or cross‑domain issues to the Lead. Review code from junior and mid‑level engineers, share best practices and contribute to raising team capability. Act as a day‑to‑day technical reference for less experienced colleagues. Work alongside Data Modellers, MDM/RDM specialists, and IT component leads. Translate technical constraints and findings into clear inputs for planning and design discussions. Ensure pipelines are built in line with data governance requirements — lineage, classification, and access controls. Support gate processes (e.G. DAB/CCP) by providing accurate technical evidence and documentation. Actively participate in sprint planning and delivery cycles — providing effort estimates, flagging technical dependencies, and keeping work moving within their delivery lane. What You Bring Hands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Databricks and cloud‑native equivalents. Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understanding of partitioning, clustering, query optimisation. Deep working knowledge of at least one major cloud Azure — compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks). Solid grasp of modelling paradigms — Medallion, dimensional (Kimball) and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Know how to implement metadata capture, data lineage (e.G. via IDMC or Purview) and access controls. Experience navigating governance frameworks and gate processes. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts) and familiarity with PySpark for distributed workloads. Experience implementing DQ rules, profiling and monitoring — ideally with tools like DQX, Great Expectations. Understanding of master and reference data flows — how golden records are created, maintained and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus. CI/CD for data pipelines (GitHub Actions), version control discipline and infrastructure‑as‑code basics (Terraform). Able to read and contribute to architecture documents and understand layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding. Familiarity with Machine learning is a strong advantage. What We Offer We offer a hybrid work model recognising the value of striking a balance between in‑person collaboration and remote working, including up to 25 days per year working from abroad. We believe in rewarding performance; 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 is unique. Commitment to Integrity, Fairness & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. #J-18808-Ljbffr

About Kuoni Tumlare Kuoni Tumlare is a Destination Management Company, part of JTB Group that delivers travel solutions and experiences that create value for our Partners and Society. We are a fun group, valuing our employees’ contributions and opinions, and striving to develop talent internally. The travel industry is dynamic, exciting, and adaptable with many interesting opportunities to explore. Role Overview The Data Architect is responsible for design, development, and maintenance of the organization’s data architecture. This role ensures that data is high-quality, consistent, secure, well-structured, and effectively utilized across systems and processes. The Data Architect collaborates closely with software developers, business analysts, data analysts, and database administrators to design data models, integrations, and data flows. This role will be critical part of our project team and working on a global, enterprise-level, high-budget project delivered over the next 2 years. Key Responsibilities Design and maintain the enterprise data architecture, including data models, standards, and principles. Define and manage logical and physical data models in line with business and technical requirements. Design data flows, integration layers, and interfaces between systems (ETL/ELT processes, APIs, message queues). Contribute to the design and maintenance of data warehouses, data lakes, and analytical platforms. Implement data governance principles – management of data domains, metadata, data quality, and reference data. Collaborate with security and compliance teams to ensure data protection and GDPR compliance. Support the development of data strategy and data culture across the organization. Document data structures, standards, and methodologies. Provide expert guidance to projects in the area of data layer design. Technical Strong knowledge of data modeling (conceptual, logical, physical; 3NF, star schema,snowflake). Expertise with relational databases (MS SQL, Oracle, PostgreSQL, etc.) and modern data platforms (Azure, AWS, GCP). Experience with ETL/ELT tools (e.G., SSIS, Talend, Informatica, dbt, Synapse, Data Factory). Familiarity with data governance, master data management (MDM), and metadata management. Understanding of integration architectures (REST, SOAP, messaging, event streaming – e.G., Kafka). Advantage: experience with data modeling tools (Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.Io, PlantUML). Advantage: familiarity with BI and analytics tools (Power BI, Tableau, Qlik). General Strong analytical and systems thinking. Ability to design scalable and maintainable solutions. Excellent communication skills with both technical and business stakeholders. Experience in leading or coordinating data-related projects is an advantage. What we offer Global Brand: Opportunity to work in an international environment Stability: 100 Years at the top of our field and still pushing into new territory Progression: We reward high performers and look to promote key talent internally Learning and Development opportunities for growth and Upskilling A Supportive Management Culture and autonomous working environment Company Wide Bonus Scheme Dedicated Employee Engagement Activities Flexible & Hybrid Working Annual Awards and Recognition for high Performers Friendly and Collaborative work environment #J-18808-Ljbffr

About The Job Asegúrese de leer detenidamente la información sobre esta oportunidad antes de presentar su candidatura. The SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. What You Do • Implement data pipelines in line with established engineering standards — pipeline design patterns, naming conventions, and modelling approaches (e.g. Data Vault). Apply architecture decisions made at Lead level and translate them into working, maintainable solutions., • Build and maintain end-to-end data pipelines across ingestion, transformation, and loading. In SimpliFi terms, this means developing and owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers — working hands‑on with tools such as Databricks, Azure Synapse and IDMC., • Responsible for data quality within their pipeline scope — implementing checks, identifying issues early, and resolving them before they propagate downstream. Escalate systemic or cross‑domain issues to the Lead., • Review code from junior and mid‑level engineers, share best practices and contribute to raising team capability. Act as a day‑to‑day technical reference for less experienced colleagues., • Work alongside Data Modellers, MDM/RDM specialists, and IT component leads. Translate technical constraints and findings into clear inputs for planning and design discussions., • Ensure pipelines are built in line with data governance requirements — lineage, classification, and access controls. Support gate processes (e.g. DAB/CCP) by providing accurate technical evidence and documentation., • Actively participate in sprint planning and delivery cycles — providing effort estimates, flagging technical dependencies, and keeping work moving within their delivery lane. What You Bring • Hands‑on expertise building and operating large‑scale pipelines — batch and streaming. Proficiency in tools like Apache Spark, Databricks and cloud‑native equivalents. Experience with ETL/ELT patterns at enterprise scale., • Practical experience with modern lakehouse/warehouse platforms — Databricks, Azure Synapse, or equivalents. Understanding of partitioning, clustering, query optimisation., • Deep working knowledge of at least one major cloud Azure — compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks)., • Solid grasp of modelling paradigms — Medallion, dimensional (Kimball) and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview) and access controls. Experience navigating governance frameworks and gate processes., • Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts) and familiarity with PySpark for distributed workloads. Experience implementing DQ rules, profiling and monitoring — ideally with tools like DQX, Great Expectations., • Understanding of master and reference data flows — how golden records are created, maintained and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus., • CI/CD for data pipelines (GitHub Actions), version control discipline and infrastructure‑as‑code basics (Terraform). Able to read and contribute to architecture documents and understand layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand‑holding., • Familiarity with Machine learning is a strong advantage. What We Offer • We offer a hybrid work model recognising the value of striking a balance between in‑person collaboration and remote working, including up to 25 days per year working from abroad., • We believe in rewarding performance; 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 is unique. Commitment to Integrity, Fairness & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. xqziphu We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. #J-18808-Ljbffr

Kuoni Tumlare is a Destination Management Company, part of JTB Group that delivers travel solutions and experiences that create value for our Partners and Society. We are a fun group, valuing our employees’ contributions and opinions, and striving to develop talent internally. The travel industry is dynamic, exciting, and adaptable with many interesting opportunities to explore. The Data Architect is responsible for design, development, and maintenance of the organization’s data architecture. This role ensures that data is high-quality, consistent, secure, well-structured, and effectively utilized across systems and processes. The Data Architect collaborates closely with software developers, business analysts, data analysts, and database administrators to design data models, integrations, and data flows. This role will be critical part of our project team and working on a global, enterprise-level, high-budget project delivered over the next 2 years. • Design and maintain the enterprise data architecture, including data models, standards, and principles., • Define and manage logical and physical data models in line with business and technical requirements., • Design data flows, integration layers, and interfaces between systems (ETL/ELT processes, APIs, message queues)., • Contribute to the design and maintenance of data warehouses, data lakes, and analytical platforms., • Implement data governance principles – management of data domains, metadata, data quality, and reference data., • Collaborate with security and compliance teams to ensure data protection and GDPR compliance., • Support the development of data strategy and data culture across the organization., • Document data structures, standards, and methodologies., • Provide expert guidance to projects in the area of data layer design., • Strong knowledge of data modeling (conceptual, logical, physical; 3NF, star schema, snowflake)., • Expertise with relational databases (MS SQL, Oracle, PostgreSQL, etc.) and modern data platforms (Azure, AWS, GCP)., • Experience with ETL/ELT tools (e.g., SSIS, Talend, Informatica, dbt, Synapse, Data Factory)., • Familiarity with data governance, master data management (MDM), and metadata management., • Understanding of integration architectures (REST, SOAP, messaging, event streaming – e.g., Kafka)., • Advantage: experience with data modeling tools (Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.io, PlantUML)., • Advantage: familiarity with BI and analytics tools (Power BI, Tableau, Qlik)., • Strong analytical and systems thinking., • Ability to design scalable and maintainable solutions., • Excellent communication skills with both technical and business stakeholders., • Experience in leading or coordinating data-related projects is an advantage., • Global Brand: Opportunity to work in an international environment, • Stability: 100 Years at the top of our field and still pushing into new territory, • Progression: We reward high performers and look to promote key talent internally, • Learning and Development opportunities for growth and Upskilling, • A Supportive Management Culture and autonomous working environment, • Company Wide Bonus Scheme, • Dedicated Employee Engagement Activities, • Flexible & Hybrid Working, • Annual Awards and Recognition for high Performers, • Friendly and Collaborative work environment #J-18808-Ljbffr

Overview In this role you will design, build, and operate enterprise integrations within Bunge’s Integration Platforms team. You will work to ensure stability, scalability, security, and performance across the integration landscape. You’ll collaborate with cross-functional teams to deliver integration initiatives that support core business processes and digital transformation. This is a hands-on, platform-focused role with on-call responsibilities and opportunities to drive automation and modern CI/CD practices. You will contribute to a culture of collaboration, innovation, and continuous improvement. Compensaciones / Beneficios strong compensation and benefits package generous paid time off flexible work arrangements hybrid work environment Responsabilidades Design, develop, and maintain enterprise integrations and APIs to support key business processes Build and maintain infrastructure for Mule Soft Anypoint Platform and SAP BTP Integration Suite Develop and implement CI/CD pipelines for automated deployment, testing, and monitoring of integrations Ensure platform stability, performance, security, and compliance across integrations Provide production-support for integrations including monitoring, incident resolution, and root-cause analysis Define and implement best practices and guidelines for integration development Collaborate with business and technical teams to gather requirements and deliver integration initiatives Drive platform infrastructure automation and optimization Monitor platform health and performance and evaluate new tools and technologies Coordinate with engineers, architects, and stakeholders to ensure project alignment and delivery Requisitos principales Bachelor's degree in Computer Science, Software Engineering, or a related field 3-5+ years of experience in integration engineering, software engineering, platform engineering, middleware technologies, or related role Experience with Mule Soft Anypoint Platform and/or SAP BTP Integration Suite Strong understanding of enterprise integration patterns, APIs, messaging concepts, and integration best practices Experience with CI/CD pipelines and tools (e.G., Jenkins, Git, Azure Dev Ops) Experience with cloud platforms (GCP, AWS, Azure) Solid understanding of platform and application security best practices Experience with troubleshooting, monitoring, performance tuning, and operational support of enterprise applications and integrations Experience with one or more enterprise integration technologies (e.G., Mule Soft, SAP Integration Suite, Boomi, Azure Integration Services, Informatica) Beneficial skills include API management, event-driven architecture, data modeling, database technologies, and relevant integration platform certifications collaboration problem-solving adaptability Mule Soft Anypoint Platform SAP BTP Integration Suite CI/CD tooling (Jenkins, Git, Azure Dev Ops)

Description Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact? Description Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact? If this describes you, consider joining us. You will have the opportunity to work alongside the industry's brightest engineers, who innovate every day on behalf of our customers. You will have the opportunity to affect the evolution of Amazon technology, as well as lead mission-critical projects. Your work will contribute to solving some of the most complex technical challenges in the company. In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development and expand your network. Come chart your own path at Amazon. • Design, implement, and automate scalable data pipelines for collecting, transforming, and processing data from multiple sources (Redshift, Glue), • Design and evolve data models and schemas ensuring accuracy, consistency, and alignment with single source of truth standards, • Own the development and maintenance of curated reference datasets and data assets to drive key business decisions, • Monitor and troubleshoot data quality issues and operational incidents in production pipelines, • Drive architectural plans and implementation for future data storage and integration solutions, • Collaborate with stakeholders across operations, finance, and science to translate business requirements into reliable data solutions, • Investigate and resolve root causes of data defects, ensuring data accuracy and reliability across the platform Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and data storage principles. Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build really cool data solutions, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day. We care about your career growth. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it. MINT (Miles Intelligence and Truth), within Supply Chain Execution Data & Analytics, delivers end-to-end data solutions for EU Transportation. We are the Single Source of Truth (SSOT) team - creating and owning the trusted reference datasets across different EU Transportation areas. We build scalable pipelines and self-service tools that drive data-driven decisions across the organisation. • Experience in data engineering, • Experience with data modeling, warehousing and building ETL pipelines, • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala), • Experience with one or more scripting language (e.g., Python, KornShell), • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc., • Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model, • Knowledge of AWS Infrastructure Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. • Amazon EU SARL (Spain Branch) #J-18808-Ljbffr

ROLE DESCRIPTION Solicitar este puesto es sencillo. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición. The Senior Business Intelligence (BI) Developer is responsible for designing, developing, and implementing advanced BI solutions. This role requires strong skills in building semantic models, collaborating with business stakeholders to gather and translate business requirements into technical specifications, and working with IT teams to understand and optimize data flows. The Senior BI Developer plays a critical role in transforming raw data into actionable insights, ensuring that business decisions are data-driven and supported by robust analytics. RESPONSIBILITIES • Design, build, and maintain robust semantic models that simplify complex data structures, enabling end-users to perform efficient analysis., • Ensure that semantic models align with business requirements and data governance best practices., • Optimize data models for performance and scalability, ensuring data accuracy and consistency across different BI tools. Collaboration with Business Stakeholders • Work closely with business units (e.g., sales, marketing, pricing) to gather and analyse reporting and analytics needs., • Translate business requirements into clear, detailed technical specifications for BI solutions., • Develop interactive dashboards, reports, and visualizations based on business specifications, enabling data-driven decision-making., • Provide guidance and training to business users on how to effectively use BI tools and solutions. BI Solution Design and Development • Lead the end-to-end development of BI solutions, from initial concept to final delivery., • Create and maintain custom reports, dashboards, and scorecards that provide actionable insights and help achieve key performance indicators (KPIs)., • Ensure that BI solutions are aligned with business objectives and user requirements, while adhering to technical standards and best practices., • Perform regular reviews and optimizations of existing BI solutions to enhance performance and user experience. Data Governance and Quality • Implement and enforce data governance best practices to ensure data integrity, security, and compliance., • Perform data validation and cleansing as necessary to maintain high-quality and trustworthy data., • Monitor and troubleshoot data quality issues, working with IT and business teams to resolve any discrepancies. PROFILE • Education: Degree in Computer Science, Information Technology, Business Analytics, or a related field., • Experience: 5+ years of experience in Business Intelligence development, with a focus on building semantic models and data analytics., • Technical Skills:, • Strong proficiency in BI tools such as Power BI, Tableau, or QlikView., • Expert‑level knowledge in designing and building OLAP and semantic models (e.g., in Power BI or SSAS)., • Proficient in SQL, DAX, Python, or Spark for querying and modelling data., • Experience with ELT tools and data integration (e.g., Fabric, Informatica)., • Familiarity with cloud‑based data platforms (e.g., Azure, AWS, or Google Cloud) and data warehousing solutions., • Business Skills:, • Strong communication skills to bridge the gap between technical teams and business stakeholders., • Proven experience in translating business requirements into actionable technical solutions., • Ability to manage multiple projects, prioritise tasks, and meet deadlines in a fast‑paced environment., • Familiarity with Agile methodologies and project management tools., • Analytical Thinking: Ability to break down complex business problems and analyse data to identify trends and actionable insights., • Collaboration: Strong interpersonal skills to work with cross‑functional teams and stakeholders at all levels of the organisation., • Attention to Detail: Precision in developing accurate data models, dashboards, and reports., • Leadership: Capable of mentoring and guiding junior team members, while driving innovation in BI practices. WHAT WE OFFER • Competitive remuneration package: fixed part + bonus paid twice a year in March and September. The bonus is calculated according to the company's performance., • Stable employment conditions: permanent contract., • Ticket Restaurants (2420 € net by year)., • Life insurance paid for by the company., • Possibility to apply at any time for private medical insurance with Adeslas., • Modern office in an attractive location in Barcelona (Sants)., • Friendly and international working environment with collaborative spirit. We have employees with more than 33 different nationalities in our Barcelona office!, • Access to an online platform reserved for our employees where you can benefit from discounts on more than 50 brands including fashion, technology, travel, culture, etc., • Remote work policy: the company provides 250 € per year gross to manage internet and other expenses., • Teleworking model: hybrid model with a lot of flexibility., • Flexible benefits in transport, education, kindergarten. OUR VALUES Hexagon is proud to be an Equal Employment Opportunity employer. We consider all qualified applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law. At Hexagon, we believe that diversity of thought, background, and experience makes us stronger. Our people’s passion, creativity, and dedication drive our success, and we strive to be the place where talented individuals want to grow and do their best work. At Hexagon Geosystems, our energy and engagement are reflected in our commitment to innovation, integrity, and excellence. xqziphu Here, you will find opportunities to develop professionally, take on new challenges, and be part of a collaborative culture that values both independent thinking and teamwork. #J-18808-Ljbffr

We Are Waiting for YouHi there!I am Álvaro, 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.Who Are We?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.Position OverviewThe Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, with a primary focus on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ).This role ensures that enterprise data is trusted, discoverable, and governed by driving high‑quality metadata management, robust data quality controls, and complete end‑to‑end data lineage. Acting as a key technical authority, the EDM Specialist manages metadata ingestion, API‑driven integrations, platform monitoring, and service account governance, while enabling advanced data observability capabilities.The role adopts an AI first mindset, systematically using Generative AI, AI agents, and automation to reduce manual effort, improve consistency, and accelerate delivery (e.G., AI‑assisted documentation, automated metadata enrichment, intelligent anomaly detection).The role collaborates closely with business units, group functions, platform engineering teams, and vendor support, requiring strong technical expertise combined with the ability to translate governance requirements into scalable, AI‑enabled platform solutions.What Can You Expect?And you might be thinking: This is great, what will my day‑to‑day be like, at TDC? I’m glad you asked.As an Enterprise Data Management Specialist you will have the opportunity to:- Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring- Use AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency- Define and implement data observability metrics (e.G., completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insights- Use AI assistants and AI agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, propose and pre‑populate data quality rules and policies based on patterns in existing metadata and data issues- Collaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI‑assisted catalog features- Manage platform access, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence)- Design, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns- Execute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows- Monitor and ensure reliability of scanning processes, ingestion pipelines, API activity, and platform performance. Troubleshoot and resolve issues related to metadata ingestion, API integrations, authentication, and service account access- Act as a subject matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents- Use AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellenceWhat Makes You a Great Fit?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!- Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.- Hands‑on expertise with Informatica IDMC, specifically MCC (Metadata Command Center), CDGC (Cloud Data Governance Catalog) and CDQ (Cloud Data Quality).- Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries and integration patterns for ingesting metadata from multiple sources.- Data quality rule design and implementation. Data lineage, impact analysis, and governance frameworks.- Experience working with enterprise data platforms (e.G., data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures.- Experience with API integration and automation (REST APIs, MCP frameworks).- Knowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals).- Practical experience with Generative AI, ideally in coding and agentic workflows. Demonstrated ability to use AI tools to:- Automate repetitive technical tasks (e.G., script generation, test creation, documentation drafts).- Design and execute prompt strategies for LLMs to work safely with metadata and catalog content.- Integrate AI‑based components into existing data governance workflows.Technical & AI‑related- Experience with additional data governance / catalog solutions (e.G., Collibra, Alation).- Exposure to AI/ML‑based observability or monitoring tools for data platforms.- Experience with scripting or programming languages commonly used for automation (e.G., Python, PowerShell).- Familiarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls.- Experience designing or operating AI‑assisted self‑service data discovery capabilities for business users.Behavioural and soft skills- Proactive, results‑driven attitude with a commitment to continuous improvement.- Excellent analytical, troubleshooting, and problem‑solving capabilities.- Good communication, stakeholder management, and analytical skills.- Fluency in English; additional languages are an advantage.And... What Makes Us Special?As well as a competitive salary and a yearly bonus, we offer:- To support your work‑life balance, we have adopted a flexible working model.- Option to work abroad up to 25 days yearly.- Over 300 euros to set up your home office and additional monthly home office allowance.- Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs.- Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.- Life and accident insurance.- Collective Life retirement Plan- 2000 referral bonus if you bring other talented people like you to the company.- Special banking and insurance conditions plus Exclusive Employees discounts- Functional diversity benefits- Stock options and mortgage benefits.Where Are We Located?Barcelona, Poblenou.#Li-hybridWe Are Waiting for You.Can you see yourself in this role? Don’t wait any longer! Apply by sending your CV in English.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

Schneider Electric is seeking a Senior Data Engineer in Barcelona to design and run scalable data pipelines and data warehouses in a cloud-enabled setup. You will collaborate with global teams to ensure data quality, governance, and performance, working with AWS, Informatica PowerCenter and modern data tooling to deliver reliable datasets. You will design, develop, and maintain ETL/ELT workflows, optimize data structures for analytics, and monitor pipelines across AWS services including Glue, #J-18808-Ljbffr

Zurich Insurance Group’s Technology Delivery Center in Barcelona seeks an Enterprise Data Management Specialist to operate and enhance the data governance platform, focusing on Informatica Cloud CDGC and CDQ. Los candidatos deben tomarse el tiempo de leer atentamente todos los elementos de este anuncio de empleo. Por favor, envíen su solicitud sin demora. You’ll enable trusted, discoverable data with AI-assisted metadata enrichment, data observability, and end-to-end lineage. You’ll collaborate with data stewards, business units, xqziphu and vendor support to implement scalable, AI-enabled catalog solutions and governance processes in a hybrid #J-18808-Ljbffr

The Data Governance Operations Lead is responsible for ensuring the effective execution, coordination and continuous improvement of Allianz Technology's Data Governance operating model. Operating across a global and highly regulated environment, this role serves as the operational backbone of the Data Governance function, ensuring that governance commitments, regulatory requirements, audit actions, remediation plans and branch onboarding activities are executed consistently, transparently and on time. The role works closely with Data Domain Owners, Branch stakeholders, Risk Management, Compliance, Audit and Technology teams to drive accountability, governance adoption and delivery excellence across the organization. By establishing a scalable governance operating model, this role sits at the core of how Data Governance operates and scales across Allianz Technology, directly shaping the function's ability to deliver, build trust with stakeholders, and evolve into a genuine business enabler. • Lead the operational execution of the Allianz Technology Data Governance framework across all domains., • Coordinate and drive governance, data quality and regulatory compliance activities, ensuring consistent execution across the organization., • Lead and coordinate the Data Governance operations team on a day-to-day basis, managing priorities, dependencies and deliverables across workstreams, while working closely with the Data Governance Strategy Lead to ensure alignment on strategic initiatives involving the same team members., • Monitor governance commitments, risks, audit actions and remediation plans, ensuring timely escalation and closure of delivery blockers., • Establish governance and data quality reporting, KPIs and continuous improvement initiatives to increase transparency, efficiency and scalability of the operating model., • 8+ years of experience in Data Governance, Compliance, Risk Management, Internal Controls, Program Management or related disciplines., • Strong understanding of Data Governance and Data Quality operating models, including Data Ownership, Metadata Management, Governance Controls and data accountability frameworks., • Experience leading and developing distributed teams, setting priorities and providing day-to-day direction., • Proven experience coordinating complex cross-functional initiatives in regulated and international environments., • Strong stakeholder management, communication and delivery management skills, with the ability to drive accountability across distributed teams., • Strong analytical and problem-solving capabilities, including experience with reporting, KPIs and operational performance management., • Experience with data governance and workflow tooling (e.g. Informatica IDMC, Databricks Unity Catalog, Power BI, JIRA/Confluence) and process automation initiatives is considered an advantage., • 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 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: www.linkedin.com/company/allianz-technology. Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, 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. 104436 | Operations | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent #J-18808-Ljbffr

IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication technologies in commercial, marketing, management and business communication areas. IQU’s R&D has a focused business plan specifically intended on delivering a “new generation of tools for system level evaluation of wireless integrated communication systems towards the society digital transformation”. The R&D has extensive know-how in new concepts such as network/RAN virtualization, programmable networks, network slicing, cell-free, Artificial Intelligence and is also active in the fast-growing IoT paradigm with a plethora of vertical use cases. IQU´s R&D offers well established experimentation tools in 5G/6G and IoT. IQU is active in many EU funded research projects related to 5G, 6G, Smart Grid and IoT in collaboration with big European vendors and operators. Asegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación. IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication technologies in commercial, marketing, management and business communication areas. IQU’s R&D has a focused business plan specifically intended on delivering a “new generation of tools for system level evaluation of wireless integrated communication systems towards the society digital transformation”. The R&D has extensive know-how in new concepts such as network/RAN virtualization, programmable networks, network slicing, cell-free, Artificial Intelligence and is also active in the fast-growing IoT paradigm with a plethora of vertical use cases. IQU´s R&D offers well established experimentation tools in 5G/6G and IoT. IQU is active in many EU funded research projects related to 5G, 6G, Smart Grid and IoT in collaboration with big European vendors and operators. IQU´s R&D department is looking for several Researchers in the framework of the ongoing Horizon Europe and SNS-JU projects. The work focuses on the analytical evaluation of the proposed solutions as well as proof of concepts in inhouse experimentation platforms contributing to the products portfolio of the R&D´s department. The successful applicant should have a PhD degree in Telecommunications, Electronic Engineering or Computer Science. Tasks • Carry out research activities related to quantum key distribution (QKD) systems and their integration into secure network infrastructures, develop quantum networking architectures integrating quantum communication with classical networks, AI-driven orchestration mechanisms for quantum networks, contribute to quantum internet protocol stack design, • Be in contact and work with cutting-edge technology, validated at our in-house experimental platforms., • Work in challenging 5G/6G and IoT R&D projects and represent the company in project meetings and research initiatives., • Participate in the preparation of research funding proposals, • Participate in scientific conference in the area, • Represent IQU in exhibitions like Mobile World Congress Forum, IoT Solutions World Congress, Smart Cities Expo etc. Requirements Basic Qualifications: • Outstanding oral and writing English skills, • Good knowledge of current technology trends related to quantum communication, network protocol design and distributed systems, digital twins for quantum networks and QKD protocols, • Familiarity with quantum networking simulators, • Good publication record in scientific peer-reviewed journals Preferred Qualifications: • Experience in EU-funded projects (e.g., Horizon Europe, SNS JU, Quantum)., • Familiarity with 6G architectures and integration of quantum technologies into future networks., • Knowledge of post-quantum cryptography and hybrid security frameworks., • Experience in participating international research funding projects Benefits A full-time contract, with a probation period of 6 months is offered. The starting date is flexible from September-October 2026. You will work in an open space office environment in the centre of Barcelona, which promotes creativity, innovation, and collaborative research among senior and early-stage researchers. xqziphu You can also choose to work from home, but you may need to attend the office whenever is needed for meetings or for teamwork. The rank and salary will be determined according to qualifications and work experience and will be varying between 35 and 42k. #J-18808-Ljbffr

Gracia101 is looking for an MDM Consultant on behalf of a global organization based in Barcelona. Asegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación. This role is responsible for designing and maintaining Master Data Management (MDM) processes within their area, ensuring these processes meet business needs while promoting consistency across the organization. The role holder will ensure MDM processes remain aligned with company policies and the broader operating model, and will act as the key point of contact with IT and MDM Technical Solutions teams to implement and support MDM solutions. Key accountabilities: • Design Master Data Management processes in own area. Ensure processes are compliant to group Policies and DoAs. Ensure MDM processes fulfil the needs of –and are validated by –process stakeholders,, • Ensure all owned processes are documented according to standards. Support audits (ISO certifications, customer audits..),, • Support M&A and IT projects (such as ERP implementation) by defining adequate Master Data setup and processes,, • May lead work packages for solution implementation projects (including running design workshops), • Interface with MDM Technical Solutions to implement technical solutions in Informatica,, • Interface with IT to implement technical solutions in backend SAP systems., • Engage with MDM Services for implementation of process or solution changes., • Define cleansing rules with data owners for ensuring owned data readiness for transformation projects, • Provide third level support to MDM Services teams (what to do if not in the books), • Follow-up on MDM continuous improvement initiatives in own area., • Ensure continuous dialogue with process stakeholders and MDM Services teams to nourish continuous improvement process. xqziphu, • Keep documentation and data assets (data catalog) up-to-date for own areaEducation & Experience:, • Bachelor's or Master's degree in IT, Engineering or Business administration or equivalent professional experience, • Minimum of 5 years of experience in Master Data Management, • Fluent in English (written and spoken), • Experience in a multinational company / exposure to diverse cultures, • Strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor, • Strong SAP expertise, in particular regardingmaster data objects in own area, • Proficient in process modeling and design, • Good communication and presentation skills. If you are ready to help shape the future of global master data and bring together business processes, SAP and MDM technology, we would love to hear from you. #J-18808-Ljbffr

Overview In this role you will design, build, and operate enterprise integrations within Bunge’s Integration Platforms team. You will work to ensure stability, scalability, security, and performance across the integration landscape. You’ll collaborate with cross-functional teams to deliver integration initiatives that support core business processes and digital transformation. This is a hands-on, platform-focused role with on-call responsibilities and opportunities to drive automation and modern CI/CD practices. You will contribute to a culture of collaboration, innovation, and continuous improvement. Compensaciones / Beneficios strong compensation and benefits package generous paid time off flexible work arrangements hybrid work environment Responsabilidades Design, develop, and maintain enterprise integrations and APIs to support key business processes Build and maintain infrastructure for Mule Soft Anypoint Platform and SAP BTP Integration Suite Develop and implement CI/CD pipelines for automated deployment, testing, and monitoring of integrations Ensure platform stability, performance, security, and compliance across integrations Provide production-support for integrations including monitoring, incident resolution, and root-cause analysis Define and implement best practices and guidelines for integration development Collaborate with business and technical teams to gather requirements and deliver integration initiatives Drive platform infrastructure automation and optimization Monitor platform health and performance and evaluate new tools and technologies Coordinate with engineers, architects, and stakeholders to ensure project alignment and delivery Requisitos principales Bachelor's degree in Computer Science, Software Engineering, or a related field 3-5+ years of experience in integration engineering, software engineering, platform engineering, middleware technologies, or related role Experience with Mule Soft Anypoint Platform and/or SAP BTP Integration Suite Strong understanding of enterprise integration patterns, APIs, messaging concepts, and integration best practices Experience with CI/CD pipelines and tools (e.G., Jenkins, Git, Azure Dev Ops) Experience with cloud platforms (GCP, AWS, Azure) Solid understanding of platform and application security best practices Experience with troubleshooting, monitoring, performance tuning, and operational support of enterprise applications and integrations Experience with one or more enterprise integration technologies (e.G., Mule Soft, SAP Integration Suite, Boomi, Azure Integration Services, Informatica) Beneficial skills include API management, event-driven architecture, data modeling, database technologies, and relevant integration platform certifications collaboration problem-solving adaptability Mule Soft Anypoint Platform SAP BTP Integration Suite CI/CD tooling (Jenkins, Git, Azure Dev Ops)

Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. We deliver an innovative, science-based portfolio of premium flagship brands and services that span the full spectrum of the fast-growing dermatology market through Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals. Because we understand that the skin, we are in shapes our lives, we are advancing dermatology for every skin story. Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto. We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee. At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Further supporting our growth and innovation momentum, we are establishing a new Global Capability Center in Barcelona to deploy new capabilities to effectively support its global commercial and functional teams. Located in the upscale Eixample District in the heart of Barcelona, Galderma’s Global Capability Center offers numerous possibilities for professional development such as exposure to global and cross-functional projects and access to global career opportunities. Job Title: Global Master Data Expert Location: Barcelona, Spain (FTE, 4 days office based) Job Description Global Master Data Expert's core mission is to execute data governance activities across the whole Galderma's organization for the data scope within her/his remit. This includes data related activities from data definitions, data flow management through different systems, data owners, users and data consumers support cross organization, supervision of data quality and execution of data governance processes. Key Responsibilities User Support & Data Governance Execution • Support the implementation of the data governance roadmap., • Act as first-line support for Global Product Master Data, addressing data quality queries and issues., • Collaborate with business and functional area owners to enhance the data quality and value of core data assets., • Develop and maintain up-to-date training materials. Deliver training sessions as required., • Contribute to communication strategies that promote company-wide awareness of proper data management practices. Data Quality Assurance • Define data standards and practices in alignment with impacted functions to ensure completeness, consistency and accuracy of data., • Contribute to the development of performance indicators and data quality metrics. Data Dictionary Management • Create and maintain a centralized enterprise data dictionary with clear definitions, business rules, and usage guidelines., • Ensure alignment between technical and business terminology., • Establish processes for capturing and maintaining metadata related to product master data entities., • Coordinate with stakeholders to manage updates and communicate changes effectively., • Provide guidance and training to teams using the data dictionary., • Act as a point of contact for clarifications and best practices. Data Change Management & Improvement • Supervise and coordinate data-related change requests, ensuring alignment with stakeholders on prioritization, solution design, and implementation., • Analyze the impact of proposed data changes on upstream and downstream systems, processes, and reporting., • Identify recurring issues or inefficiencies in data change processes and propose enhancements., • Implement best practices for reducing cycle time and improving data quality during changes., • Develop clear communication plans for informing stakeholders about upcoming changes, timelines, and expected impacts., • Act as a liaison between technical teams and business users during change implementation., • Oversee testing of data changes to ensure accuracy and integrity before deployment. Critical Skills / Competences • Strong data analytical skills with the ability to interpret complex data sets, identify trends, and provide actionable insights for data quality and governance improvement., • Attention to detail., • Proven ability to perform root cause analysis on data issues, identifying underlying problems and implementing sustainable corrective actions., • Excellent communication and collaboration skills to work effectively with cross-functional teams., • Knowledge of data quality metrics and performance indicators., • Fluency in English (written and spoken); additional languages are an asset. Required Education / Experience • Bachelor's degree in fields such as Business Administration, Engineering, Computer Science. Master's degree is a plus., • 3-5 years of solid experience in Master Data Management, Product Data Management, Data Governance, Supply Chain or related roles (e.g., MDM, SAP MDG, Data Quality management)., • Solid understanding of data models, data dictionaries and enterprise data architecture., • Hands-on experience with ERP systems (e.g., SAP, Oracle, etc.), MDM platforms (e.g., Informatica) and familiarity with data governance frameworks., • SQL knowledge for querying, validating, and analyzing data across systems., • Experience with data visualization or analytics tools (e.g., Power BI, Tableau) is an advantage., • Demonstrated ability to manage cross-functional initiatives and collaborate with senior stakeholders (e.g., Global Teams, IT, Supply Chain, Marketing, Finance)., • Proficiency in metadata management and data governance tools. Key Success Criteria • Establish and maintain consistent product master data standards across all regions and systems., • Achieve and sustain high levels of accuracy, completeness and consistency rates for critical data elements., • Ensure stakeholders follow governance processes with clear accountability for data ownership., • Reduce cycle times and manual interventions through automation, standardized workflows, and best practices., • Deliver responsive support and clear communication, ensuring high adoption and positive feedback from business users. Our people make a difference At Galderma, you'll work with people who are like you - and people who are different. xqziphu We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos create the perfect environment for people to thrive and excel in what they do. #J-18808-Ljbffr

Una consultora de gestión de datos en Barcelona busca un Senior Data Analyst con experiencia en consultoría tecnológica y gobierno del dato. No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. Se valorará tener conocimientos en herramientas como Collibra, Alation o Informatica, y habilidad para coordinar equipos. xqziphu El paquete retributivo incluye salario fijo más variable y beneficios como 27 días de vacaciones y jornada intensiva durante los viernes. #J-18808-Ljbffr

IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication technologies in commercial, marketing, management and business communication areas. IQU’s R&D has a focused business plan specifically intended on delivering a “new generation of tools for system level evaluation of wireless integrated communication systems towards the society digital transformation”. The R&D has extensive know-how in new concepts such as network/RAN virtualization, programmable networks, network slicing, cell-free, Artificial Intelligence and is also active in the fast-growing IoT paradigm with a plethora of vertical use cases. IQU´s R&D offers well established experimentation tools in 5G/6G and IoT. IQU is active in many EU funded research projects related to 5G, 6G, Smart Grid and IoT in collaboration with big European vendors and operators. Desplácese hacia abajo para encontrar los detalles completos de la oferta de trabajo, incluyendo la experiencia requerida y las funciones y tareas asociadas. IQU´s R&D department is looking for several Researchers in the framework of the ongoing Horizon Europe and SNS-JU projects. The work focuses on the analytical evaluation of the proposed solutions as well as proof of concepts in inhouse experimentation platforms contributing to the products portfolio of the R&D´s department. The successful applicant should have a PhD degree in Telecommunications, Electronic Engineering or Computer Science. Tasks • Carry out research activities related to quantum key distribution (QKD) systems and their integration into secure network infrastructures, develop quantum networking architectures integrating quantum communication with classical networks, AI-driven orchestration mechanisms for quantum networks, contribute to quantum internet protocol stack design, • Be in contact and work with cutting-edge technology, validated at our in-house experimental platforms., • Work in challenging 5G/6G and IoT R&D projects and represent the company in project meetings and research initiatives., • Participate in the preparation of research funding proposals, • Participate in scientific conference in the area, • Represent IQU in exhibitions like Mobile World Congress Forum, IoT Solutions World Congress, Smart Cities Expo etc. Requirements Basic Qualifications: • Outstanding oral and writing English skills, • Good knowledge of current technology trends related to quantum communication, network protocol design and distributed systems, digital twins for quantum networks and QKD protocols, • Familiarity with quantum networking simulators, • Good publication record in scientific peer-reviewed journals Preferred Qualifications: • Experience in EU-funded projects(e.g., Horizon Europe, SNS JU, Quantum)., • Familiarity with 6G architecturesand integration of quantum technologies into future networks., • Knowledge of post-quantum cryptographyand hybrid security frameworks., • Experience in participating international research funding projects Benefits A full-time contract, with a probation period of 6 months is offered. The starting date is flexible from September-October 2026. You will work in an open space office environment in the centre of Barcelona, which promotes creativity, innovation, and collaborative research among senior and early-stage researchers. xqziphu You can also choose to work from home, but you may need to attend the office whenever is needed for meetings or for teamwork. The rank and salary will be determined according to qualifications and work experience and will be varying between 35 and 42k. #J-18808-Ljbffr

A leading international organization is looking for an experienced MDM Process Expert to design and improve global master data processes, connect business needs with technology, and support major transformation initiatives. This is an exciting opportunity for a Master Data and SAP professional who enjoys working across business functions, countries and systems to create sustainable, well-governed data solutions. You will act as a bridge between business stakeholders, IT teams and MDM specialists—helping turn complex data requirements into practical, scalable and value-adding solutions. What You Will Do Design and document Master Data Management processes within your area, ensuring compliance with group policies, Delegations of Authority (Do As) and audit standards. Support M&A and IT projects, including ERP implementations, by defining master data setup, processes and readiness rules. Lead or contribute to solution implementation work packages, including design workshops and stakeholder alignment. Partner with IT and MDM Technical Solutions to implement technical solutions in Informatica and SAP backend systems. Define cleansing rules with data owners to ensure that owned data is ready for transformation projects. Work with MDM Services to implement process and solution changes, provide third-level support and ensure operational readiness. Maintain process documentation and data assets/data catalogues while driving continuous improvement with process stakeholders. What You Bring A Bachelor’s or Master’s degree in IT, Engineering, Business Administration or equivalent professional experience. A minimum of 5 years’ experience in Master Data Management, ideally in a multinational environment. Strong SAP expertise, especially regarding master data objects, together with experience in process modelling and design. Strong analytical and problem-solving skills, intellectual rigor and close attention to data readiness. Fluent English, written and spoken, with good communication and presentation skills. A collaborative and inclusive team-player mindset, with the ability to work autonomously, manage work packages and make decisions. What Is Offered Unique career paths across the health, nutrition and beauty industry, with the support to explore what drives you and make it happen. The opportunity to impact millions of consumers every day, with sustainability embedded in everything the organization does. A science-led company where cutting-edge research and creativity drive progress, from biotech breakthroughs to sustainability game-changers. Growth that keeps up with you: the opportunity to join an industry leader that will develop your expertise and leadership. A culture that lifts you up through collaborative teams, shared wins and people who cheer each other on. A community where your voice matters and where serving customers well is essential. If you are ready to help shape the future of global master data and bring together business processes, SAP and MDM technology, we would love to hear from you. #J-18808-Ljbffr

Job Title: Expert Digital & Tech Technical Data Steward (79829)City, Country: Barcelona, Spain / Hyderabad, India As an Expert Digital & Tech (D&T) Technical Data Steward, you drive consistent, enterprise‑level execution of data governance and data management by providing hands‑on stewardship across data cataloging, data quality, metadata and lineage, issue resolution, and access control. You enhance and augment domain squads with targeted technical expertise, ensuring stewardship practices are harmonized, scalable, and fit‑for‑purpose. Through your leadership, you embed reliable governance capabilities into business domains, elevate data maturity, and enable trusted, high‑quality data for decision‑making. Your key responsibilities Data improvements & stewardship: Execute domain-driven initiatives to consolidate, harmonize, and assess data; track progress, issues,risks, and Quality (DQ): Capture requirements; define metrics & rules; monitor and report DQ; design, build, and maintain data integration and transformation workflows, covering data discovery, quality rule creation/migration to IDMC, validations, data transformation, and other processing activities. Implement, maintain, and document DQ rule changes following established change control processes. Catalog & Metadata: Own documentation and updates in Data Management tools (Informatica) with clear definitions, classifications, tags; align with domain ownership for transparency & findability. Data Lineage: Establish and validate end-to-end lineage so upstream/downstream impacts are visible to squads. Data Cleansing & issue management: Coordinate and execute technical cleansing; perform root-cause analysis; recommend solutions andprevent recurrence; define & operate domain-aligned workflows with clear SLAs. Data Access & Sharing: Support enablement of data access aligned to classification and sharing policies; enforce approvals and auditability Products & Use-cases: Provide technical guidance (profiling, fit-for-purpose assessments) during data product/use-case delivery. Measurement: Demonstrate accountability and ownership for data health by actively contributing to Data Health dashboards (covering data quality,discoverability, reliability, business usage, etc.), implementation of DQ metrics. Champion data trust, transparency, and compliance. Collaborations & Continuous Improvement: Foster collaboration and knowledge sharing across data domains. Drive continuous improvement and innovation in data management, reusable libraries and playbooks for DQ assets. We Offer Unique career paths across health, nutrition and beauty - explore what drives you and get the support to make it happen A chance to impact millions of consumers every day – sustainability embedded in all we do A science led company, cutting edge research and creativity everywhere – from biotech breakthroughs to sustainability game-changers, you’ll work on what’s next Growth that keeps up with you – you join an industry leader that will develop your expertise and leadership A culture that lifts you up – with collaborative teams, shared wins, and people who cheer each other on. A community where your voice matters – it is essential to serve our customers well. You bring Bachelor’s/Master’s in Data Science, Computer Science, Information Systems, Statistics, Engineering or related field, with 5+ years of experience across Data Quality, Data Stewardship, and Data Management in complex environments. Deep expertise in Data Quality methodologies, including DQ dimensions, KPIs, Data Health scoring, data profiling, rule authoring, cleansing, and SLA‑driven workflows. Practical knowledge of data cataloging, metadata management, lineage, and working within regulatory environments such as GDPR and SOX. Advanced hands‑on experience with Informatica IDMC (CDQ, CDGC, Data Profiling, DI, DP, and Data Marketplace). Solid technical proficiency in SQL, Python, Databricks, and cloud platforms (preferably AWS). Strong understanding of DAMA and DCAM frameworks, with proven ability to translate standards into controls, processes, and operating models. Demonstrated strengths in stakeholder management, coaching, cross‑functional collaboration, and an analytical, continuous‑improvement mindset. About dsm-firmenich: At dsm-firmenich, we don’t just meet expectations – we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future. Because real progress only happens when we go beyond, together. Our application process: Interested in this position? Please apply on-line by uploading your resume in English via our career portal (). Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve. We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work. Agency statement We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role. Department: IT

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job The SimpliFi Data Pool is a central data repository hosted on Azure, designed to unify OE financial data and enhance cost efficiency. It serves as the primary source of accounting and reporting data, ensuring compliance with mandatory reporting requirements. The Data Pool is a key component of the SimpliFi program, integrated with SAP, providing a harmonized data model with Common Core components, including a globally harmonized Chart of Accounts and standardized accounting and reporting processes. The ecosystem optimizes finance data management through key components: structured data storage (Staging Area, Raw Data Vault, Business Data Vault), customized feeder system integrations, seamless SAP connectivity via Azure functions, and a PowerBI-enabled reporting layer for in-depth analysis and data lineage transparency. It features Master and Reference Data Management (Informatica IDMC), rigorous data quality checks, and the SimpliFi Studio interface for user-friendly manual uploads and pipeline monitoring, ensuring data accuracy, reliability, and operational efficiency. What you do • Define and enforce data engineering standards - pipeline design patterns, naming conventions, modelling approaches (e.g. Data Vault). Make architecture decisions and translate business/domain requirements into technical solutions., • Design and oversee end-to-end data pipelines: ingestion, transformation, loading. In SimpliFi terms, this means owning flows across Raw Data Vault, Business Data Vault, UJT, and CORE layers - often spanning tools like Databricks, Azure Synapse, and IDMC., • Accountable for data quality at the pipeline level - defining checks, monitoring and resolving data issues before they propagate downstream., • Guide junior/mid engineers, sets the bar for code quality, and conducts reviews. A key multiplier for team capability., • Work closely with Data Modellers, MDM/RDM specialists, Data Architects, and IT component leads. Bridge the gap between technical implementation and business intent., • Ensure pipelines meet data governance requirements (lineage, classification, access controls) and support gate processes where relevant., • Act as a technical proxy in planning sessions, helping size effort, flag dependencies and unblock the team during sprint/delivery cycles. What you bring • Hands-on expertise building and operating large-scale pipelines - batch and streaming. Proficiency in tools like Apache Spark, Kafka, Airflow and cloud-native equivalents (ADF, Glue, Dataflow). Experience with ETL/ELT patterns at enterprise scale. Practical experience with modern lakehouse/warehouse platforms -Databricks, Azure Synapse, or equivalents. Understands partitioning, clustering, query optimisation., • Deep working knowledge of at least one major cloud Azure - compute, storage, networking, managed services. In enterprise contexts like SimpliFi, Azure is typically dominant (ADLS, ADF, Azure Databricks)., • Solid grasp of modelling paradigms - relational, dimensional (Kimball), and Data Vault 2.0. Ability to review and contribute to models, not just implement them. Strong SQL (complex transformations, performance tuning), Python (pipeline logic, data quality scripts), and familiarity with Scala or PySpark for distributed workloads., • Experience implementing DQ rules, profiling, and monitoring - ideally with tools like Acceldata, Great Expectations, or Monte Carlo., • Understanding of master and reference data flows - how golden records are created, maintained, and consumed. Experience with platforms like SAP MDG or Informatica MDM is a strong plus., • CI/CD for data pipelines (GitHub Actions, Azure DevOps), version control discipline, infrastructure-as-code basics (Terraform), and containerisation (Docker/Kubernetes awareness)., • Able to read and contribute to architecture documents - understands layers, zones and data flow patterns across a platform. Can engage meaningfully with architects without needing hand-holding. Know how to implement metadata capture, data lineage (e.g. via IDMC or Purview), and access controls. Experience navigating governance frameworks and gate processes, • Familiarity with Machine learning is a strong advantage. What we offer • 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. About Allianz Technology 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 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: www.linkedin.com/company/allianz-technology. Commitment to Integrity, Fairness & Inclusion Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations. To Recruitment Agencies 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. 100384 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

As a Data Integration & Data Warehousing Engineer, you will design and run scalable data pipelines and enterprise data warehouses in a cloud-enabled environment to fuel analytics and decision-making. You’ll collaborate with global teams to ensure data quality, governance, and performance across the organization. The role supports Schneider Digital’s mission to drive digital transformation, enabling sustainable outcomes through data. You will work with AWS, Informatica, and modern data tooling to deliver reliable datasets and scalable solutions. • flexible schedule and hybrid work, • vacation and personal time policies (Holy Pack, floating holidays), • global family leave policy, • life insurance and flexible remuneration plan, • Stock ownership program, • Design, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenter, • Create robust ETL/ELT workflows to ingest data from databases, APIs, files, and SaaS systems, • Build reusable ingestion frameworks for on-prem to cloud data migrations, • Develop and maintain dimensional models and optimize data structures for analytics, • Develop and manage AWS Glue jobs with PySpark/Python; orchestrate workflows across AWS (Redshift, Lambda), • Monitor ETL pipelines, troubleshoot data issues, and implement logging and alerting, • Perform data profiling, reverse engineering, and ad-hoc analysis; deliver clean, reliable datasets, • Support downstream systems with optimized data delivery and performance, • Bachelor’s or Master’s degree in Engineering, Computer Science, or related field, • Typically 5 years of experience in data engineering, ETL, or data warehousing xqziphu, • Strong hands-on experience in Python / PySpark, • Proficiency in SQL and data modeling for analytics, • Experience building and maintaining data pipelines (ETL/ELT), • Experience with AWS services (AWS Glue, AWS Lambda, S3), • Version control using GIT, • Strong analytical and problem-solving abilities, • Attention to data quality and accuracy, • Strong collaboration across cross-functional teams, • Python, • PySpark, • SQLSenior, Data Engineer - barcelona • barcelona, catalunya, es #J-18808-Ljbffr

Bunge has an exciting opportunity available for an Integration Platform Engineer. This is a full-time on-site position located in Sant Just Desvern, CT, ES. In this role, you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology, and talent to accomplish our purpose in a better, faster, and simpler way. Bunge is committed to operating and thriving in the digital world - creating world-class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed. At Bunge, people don’t just come here to work, they come here to grow - solving challenges that directly impact the world with a diverse team of thinkers and doers. Benefits include: generous paid time off program flexible work arrangements opportunity to progress Hybrid work environment provides a balance of in-office and remote work. Overview: The Integration Platform Engineer will demonstrate a high level of professionalism, prioritizing platform stability, scalability, security, and operational excellence for our integration environment. As a key member of the Business Technology, Integration Platforms team, the Integration Platform Engineer is responsible for designing, developing, supporting, and optimizing enterprise integrations while contributing to the reliability, scalability, security, and performance of our integration platforms. The role combines platform engineering, integration development, and operational support responsibilities across Bunge's integration landscape. Essential Functions: Design, develop, enhance, and maintain enterprise integrations, APIs, and integration services supporting key business processes. Build and maintain infrastructure and supporting services for Mulesoft Anypoint Platform and SAP BTP Integration Suite. Develop and implement CI/CD pipelines for automated deployment, testing, monitoring, and management of integrations. Ensure platform stability, performance, security, and compliance. Support production integrations through monitoring, incident resolution, troubleshooting, root cause analysis, and continuous improvement activities. Define and implement best practices and guidelines for integration development. Collaborate with business and technical teams to gather requirements, design solutions, and deliver integration initiatives. Provide technical support and guidance to Integration Engineers. Drive platform infrastructure automation and optimization. Manage platform resources and services. Monitor platform health and performance. Evaluate new tools and technologies to enhance the integration platform. Collaborate with other engineers, architects, and stakeholders to ensure alignment and successful project delivery. Knowledge and Technical Competencies: Bachelor's degree in Computer Science, Software Engineering, or a related field. 3-5+ years of experience in integration engineering, software engineering, platform engineering, middleware technologies, or a related role. Experience with Mule Soft Anypoint Platform and/or SAP BTP Integration Suite is highly desirable. Strong understanding of enterprise integration patterns, APIs, messaging concepts, and integration best practices. Experience with CI/CD pipelines and related tools (e.G., Jenkins, Git, Azure Dev Ops). Experience with cloud platforms such as GCP, AWS, or Azure. Solid understanding of platform and application security best. Experience with troubleshooting, monitoring, performance tuning, and operational support of enterprise applications and integrations. Experience with one or more enterprise integration technologies, such as Mule Soft, SAP Integration Suite, Boomi, Azure Integration Services, Informatica, or similar platforms. Beneficial skills include API management, event-driven architecture, data modeling, database technologies, and relevant integration platform certifications. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at. Every day our people exemplify these values, which represent Bunge at its core: We Are One Team – Collaborative, Respectful, Inclusive We Lead The Way – Agile, Empowered, Innovative We Do What’s Right – Safety, Sustainability, With Integrity #LI-MP1 Job Segment: Test Engineer, Testing, Software Engineer, Computer Science, Cloud, Engineering, Technology #J-18808-Ljbffr

Location: Barcelona, Spain This is an exciting opportunity to join our Global Enterprise Services Master Data Management (GES MDM) organization as a Lead Expert GES MDM Processes. As the highest-level individual contributor within the MDM Process stream, you will act as a global process authority for your area, owning the design, standards and harmonization of Master Data Management processes. You will work closely with business stakeholders, IT, MDM Services and MDM Technical Solutions to ensure that MDM processes are consistent, scalable and aligned with business needs across regions. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. • Design and own Master Data Management processes within your area, ensuring alignment with group policies, standards and Delegations of Authority., • Ensure MDM processes meet business requirements and are validated by the relevant process stakeholders., • Maintain process documentation according to established standards and support internal, ISO and customer audits., • Support M&A initiatives and IT projects, including ERP implementations, by defining the appropriate Master Data setup and processes., • Lead work packages within solution implementation projects and facilitate process design workshops., • Partner with MDM Technical Solutions to implement processes and workflows in Informatica., • Work closely with IT teams to implement MDM solutions in SAP backend systems., • Collaborate with MDM Services to successfully implement process and solution changes and provide third-level support when required., • Drive and follow up on continuous improvement initiatives within your area., • Maintain continuous dialogue with business stakeholders and MDM Services to identify improvement opportunities., • Keep process documentation and data assets, including the data catalog, accurate and up to date., • The opportunity to work in a truly global and multicultural environment., • A highly visible expert role with significant interaction across business, IT and Master Data Management teams., • The opportunity to shape global MDM processes and contribute to major transformation and improvement initiatives., • Possibilities to further grow and develop within dsm-firmenich., • Flexible work-time arrangements., • Bachelor’s or Master’s degree in IT, Business Administration, or equivalent professional experience., • Minimum 5 years of experience in Master Data Management., • Strong knowledge of SAP, particularly Master Data objects within your area of expertise., • Experience in process modeling and process design., • Strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor., • Ability to understand business needs and translate them into effective and scalable MDM processes and solutions., • Strong interpersonal, communication and presentation skills., • Ability to facilitate workshops, drive decisions and independently manage work packages., • A collaborative, open and inclusive mindset and the ability to work effectively with a wide range of stakeholders., • Experience working in a multinational environment and across different cultures., • Fluent English, both written and spoken. At dsm-firmenich, we don’t just meet expectations – we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future. Because real progress only happens when we go beyond, together. At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve. We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you. And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work. We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role. #J-18808-Ljbffr

IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication technologies in commercial, marketing, management and business communication areas. IQU's R&D has a focused business plan specifically intended on delivering a "new generation of tools for system level evaluation of wireless integrated communication systems towards the society digital transformation". The R&D has extensive know-how in new concepts such as network/RAN virtualization, programmable networks, network slicing, cell-free, Artificial Intelligence and is also active in the fast-growing IoT paradigm with a plethora of vertical use cases. IQU´s R&D offers well established experimentation tools in 5G/6G and IoT. IQU is active in many EU funded research projects related to 5G, 6G, Smart Grid and IoT in collaboration with big European vendors and operators. Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. IQU´s R&D department is looking for several Researchers in the framework of the ongoing Horizon Europe and SNS-JU projects. The work focuses on the analytical evaluation of the proposed solutions as well as proof of concepts in inhouse experimentation platforms contributing to the products portfolio of the R&D´s department. The successful applicant should have a PhD degree in Telecommunications, Electronic Engineering or Computer Science. Tareas The selected candidate will: • Carry out research activities related to quantum key distribution (QKD)systems and their integration into secure network infrastructures, develop quantum networking architectures integrating quantum communication with classical networks, AI-driven orchestration mechanisms for quantum networks, contribute to quantum internet protocol stack design., • Be in contact and work with cutting-edge technology, validated at our in-house experimental platforms., • Work in challenging 5G/6G and IoT R&D projects and represent the company in project meetings and research initiatives., • Participate in the preparation of research funding proposals., • Participate in scientific conference in the area., • Represent IQU in exhibitions like Mobile World Congress Forum, IoT Solutions World Congress, Smart Cities Expo etc. Requisitos Basic Qualifications: • Outstanding oral and writing English skills., • Good knowledge of current technology trends related to quantum communication, network protocol design and distributed systems, digital twins for quantum networks and QKD protocols., • Familiarity with quantum networking simulators., • Good publication record in scientific peer-reviewed journals. Preferred Qualifications: • Experience in EU-funded projects(e.g., Horizon Europe, SNS JU, Quantum)., • Familiarity with 6G architectures and integration of quantum technologies into future networks., • Knowledge of post-quantum cryptographyand hybrid security frameworks., • Experience in participating international research funding projects. IQU seeks to increase the number of women in those areas where they are underrepresented and, encourages women to apply. Beneficios CONDITIONS A full-time contract, with a probabilty period of 6 months is offered. The starting date is flexible from September-October 2026. You will work in an open space office environment in the centre of Barcelona, which promotes creativity, innovation, and collaborative research among senior and early-stage researchers. You can also choose to work from home, but you may need to attend the office whenever is needed for meetings or for teamwork. The rank and salary will be determined according to qualifications and work experience and will be varying between 35 and 42k. Applications should include: • Full CV, including a list of publications and name (email address, etc.) of three referees. xqziphu, • Cover letter stating the motivation and suitability of the candidate. Reference number: Offer032026. Deadline for the applications 30 of September 2026. #J-18808-Ljbffr

About the role The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and architectures. The role involves working closely with data Owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility for analytics, reporting, and advanced data use cases. We are looking for a highly skilled Senior Data Engineer to take on a hybrid role that is both hands-on technical and consulting oriented. Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción. Your key responsibilities: • Design, build, and optimize data pipelines for structured and unstructured data., • Develop and maintain ETL/ELT processes to integrate data from multiple sources (SAP, Salesforce, APIs, flat files, cloud platforms, etc.)., • Ensure data quality, consistency, and governance across the data lifecycle., • Implement and manage data models, warehouses, and lakehouse solutions (e.g., Snowflake, Databricks, Redshift, BigQuery)., • Collaborate with stakeholders to translate business requirements into technical solutions., • Monitor and improve data pipelines for scalability, performance, and cost efficiency., • Ensure compliance with data security, privacy, and governance standards (GDPR, HIPAA, etc.)., • Automate repetitive data engineering tasks and adopt DevOps/DataOps best practices., • Work closely with cloud platforms (AWS, Azure, GCP) and modern data stack tools.Your skills and experiences:, • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related discipline., • Over 6 or more years of hands-on experience in data engineering, data integration, or related fields., • Proven experience in designing and implementing data pipelines, data models, and data platforms., • Strong exposure to consulting client-facing roles, working with cross-functional stakeholders., • Experience with enterprise systems (SAP, Salesforce, ERP, CRM) and complex data migration projects., • Strong proficiency in SQL, Python, and/or Scala/Java for data engineering and automation., • Deep expertise with ETL/ELT tools (Informatica, SAP Data Services, Talend, dbt, Azure Data Factory)., • Strong knowledge of data warehouse and lakehouse architectures (Snowflake, Databricks, BigQuery, Redshift, Synapse)., • Experience with big data frameworks (Apache Spark, Kafka, Hadoop)., • Familiarity with data governance, lineage, and cataloging tools (Collibra, Alation, Purview)., • Knowledge of Master Data Management (MDM/MDG)., • Practical expertise with cloud platforms and their native data services., • Industry experience in regulated sectors (Pharma, Healthcare, Finance, or Manufacturing) is an advantage., • Strong communication and presentation abilities, with the capability to simplify technical solutions for business leaders.Why Join Us? At Fresenius Kabi, you’ll contribute to something meaningful: delivering life-saving therapies to patients around the world. As part of a global transformation, you will work in a highly visible, impactful role with the opportunity to shape how we manage software development and delivery. You will join a diverse and dynamic team in a collaborative environment where your expertise will help drive innovation, efficiency, and quality across our digital landscape. Fresenius Kabi ( ) is a global health care company that specializes in injectable medicines, biosimilars, and technologies for infusion, transfusion, and clinical nutrition. Our expansive portfolio of products and global network of science and manufacturing centers provide essential support for the care of critical and chronically ill patients. With more than 40,000 employees worldwide, our dedicated team is united by our shared purpose: to put lifesaving medicines and technologies in the hands of people who care for patients – and to find answers to the challenges they face. xqziphu We call this purpose caring for life. #J-18808-Ljbffr

Who Are We? Aunque la experiencia profesional y las cualificaciones son clave para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren. 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. What Can You Expect? We are seeking a highly motivated and skilled Data & AI Architect to join our international Group Technology organization. In this role, you will be responsible for designing and technically leading new and enhancing existing data & AI solutions, making sure they run in a robust and performant manner. Solutions will be designed for both local and global customers, working mostly with cloud‑based solutions in both AWS and Azure. You will proactively expand your expertise in both existing and new functionalities, along with best practices in the data and AI space, applying these learnings in your daily job. 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 Data & AI Architect you will have the opportunity to: • Solution Design & Delivery, • Design end-to-end solution architectures (As-Is and To-Be) for data and AI products, platforms, and projects, • Evaluate architecture options and technology choices against established standards and patterns, • Reuse existing components, patterns, and platform services to ensure consistency and accelerate delivery, • Data & AI Solution Support, • Provide architectural guidance for data and AI use cases, • Collaborate with product, project, and platform teams to ensure solutions are scalable and aligned with enterprise standards, • Contribute to Architecture Board reviews and architecture decision processes, • Implementation Guidance & Impact Analysis, • Translate high‑level designs into detailed technical specifications to support implementation, • Assess architecture impacts of proposed changes, including risks, dependencies, and downstream effects, • Provide effort estimations for architecture activities to support planning and prioritisation, • Documentation & Standards, • Produce and maintain architecture documentation, including Architecture Specification Documents (ASDs), • Contribute to the definition and evolution of architecture patterns, standards, and best practices, • Ensure alignment with IT approval processes and governance requirements, • Participate in architecture communities and cross‑functional collaboration forums Work alongside experts in various technological domains. Enhance your skills with real‑world experience. Contribute to a team that values your input and creativity. What Makes You a great Fit? 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. As a Data & AI Architect your skills and qualifications will ideally include: • Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field., • Experience architecting data & AI solutions., • Data modelling experience with techniques such as 3rd normal form, data vault and dimensional modelling., • Experience with data pipeline tools, especially one or more of Azure Data Factory, SSIS, Informatica, Databricks, Snowflake and AWS Glue., • Database and lake experience with one or more of Azure SQL, DB2, Azure Data Lake, Databricks lakehouse, Snowflake, AWS RDS or similar., • Experience with AWS Bedrock Agentcore and/or Azure AI Foundry is a plus., • Knowledge of CI/CD., • Knowledge of Infrastructure as code solutions such as Terraform is an advantage., • Knowledge of containers and container orchestration such as AKS / EKS is an advantage., • Knowledge of APIs is an advantage., • Knowledge of reporting tools such as Power BI is an advantage., • Knowledge of languages such as Python, Scala and SQL is an advantage., • Having experience in insurance is an advantage., • Analytical and problem‑solving capabilities., • Proactivity is a must., • Excellent English and communication skills., • Flexibility to take on new challenges, including architecting with new technologies. And What Makes Us Special? As well as a competitive salary and a yearly bonus, we offer: • To support your work‑life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending upon 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. Where Are We Located? Barcelona, Poblenou. 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. 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? xqziphu We are an equal opportunity employer who knows that each employee is unique - that's what makes our team so great! • Location(s): ES - Barcelona, • Schedule: Full Time #J-18808-Ljbffr

IQUADRAT INFORMATICA S.L, a Barcelona-based technology company, seeks researchers in quantum networks and system-level evaluation tools for telecom applications. Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo. The role focuses on QKD, quantum networking architectures, and AI-driven orchestration within EU-funded Horizon Europe projects. The successful candidate will collaborate in a European research environment, publish findings, xqziphu and participate in outreach activities while enjoying a flexible work arrangement and a central Barcelona #J-18808-Ljbffr

Seleccionamos para uno de nuestros principales clientes, lider internacional con en soluciones tecnológicas del ambito de la defensa. Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud. Dentro de la estrategia de crecimiento del equipo nos gustaria reforzar nuestro squad con un/a Arquitecto de Datos en proyectos de Ciberseguridad. Para hacer match deberás ser Arquitecto/a Front experto orientado a Arquitectura de Presentación e Interfaces Seguras para liderar la definicion y evolucion de aplicaciones frontend escalables, modulares y robustas en proyectos criticos y entornos regulados. Entre tus retos estarán: • Diseño y evolución de arquitecturas frontend escalables, seguras y mantenibles., • Definición de interfaces, sistemas de diseño y componentes reutilizables (Atomic Design)., • Conocimientos en SASS, BEM, responsive design, accesibilidad y optimización de rendimiento., • Integración con APIs y backend, gestión de estado, seguridad y control de errores., • Liderazgo técnico, revisión arquitectónica y mentoring de equipos frontend., • Valorable experiencia en TypeScript, Docker y tecnologías de mapas (Google Maps, Leaflet, OpenLayers). Imprescindible formación en Informatica, Telecomunicaciones o similar, ingles alto hablado y escrito capacidad analitica, liderazgo técnico, orientación a producto y comunicación clara con perfiles tecnicos, funcionales y de negocio • Estabilidad y crecimiento profesional., • Proyectos innovadores de alto impacto., • Flexibilidad y buen ambiente de trabajo. xqziphu, • Formación continua y plan de carrera., • Salario competitivo y beneficios corporativos #J-18808-Ljbffr

En colaboracion con un partner de consultoria lider en Espana, buscamos un/a Senior SAP FI/CO Consultant. Seras responsable de asegurar que los procesos financieros del cliente (locales e internacionales) esten correctamente reflejados en SAP, manteniendo el cumplimiento con los requisitos estatutarios espanoles y los estandares de reporting corporativo. Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Responsabilidades: • Financial Blueprinting: Realizar analisis detallado de los requisitos de contabilidad financiera (FI) y contabilidad de gestion (CO) del cliente., • Core FI Configuration: Liderar la configuracion de General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Bank Accounting y Fixed Assets (AA)., • Controlling (CO) Expertise: Disenar y configurar Cost Element Accounting, Cost Center Accounting (CCA), Profit Center Accounting (PCA) e Internal Orders. Conocimiento de Product Costing (CO-PC) y Profitability Analysis (CO-PA/Margin Analysis) muy valorado para este proyecto., • Localization & Compliance: Asegurar cumplimiento total con requisitos fiscales espanoles (IVA, SII - Suministro Inmediato de Informacion, y Modelo 303/340)., • Integration Management: Orquestar integracion seamless entre FI/CO y otros modulos como SD, MM y PP para asegurar postings financieros precisos., • On-site Training: Impartir sesiones de formacion hands-on al equipo de finanzas del cliente y proporcionar soporte presencial durante los primeros tres cierres mensuales tras go-live.Requisitos Tecnicos y Profesionales:, • Experiencia: +5 anos de experiencia funcional en SAP FI/CO. Participacion exitosa en al menos dos implementaciones full-cycle requerida., • S/4HANA Proficiency: Conocimiento profundo del "Universal Journal" y los cambios arquitecturales en S/4HANA Finance comparado con ECC., • Analytical Skills: Alta capacidad para reconciliacion de datos financieros y troubleshooting de errores complejos de posting., • Idiomas: Nivel profesional de espanol e ingles. Debido a la naturaleza presencial en Barcelona, la capacidad de comunicarse en catalan se considera una ventaja significativa. xqziphu, • Educacion: Titulacion universitaria en Administracion de Empresas (ADE), Economicas o Ingenieria Informatica. Ubicacion: Barcelona (presencial) #J-18808-Ljbffr

Descripción del trabajo We Are Waiting for YouHi there! I am Laura, 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 off 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. Who Are We?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. What Can You Expect?We are seeking a highly motivated and skilled Data & AI Architect to join our international Group Technology organization. In this role, you will be responsible for designing and technically leading new and enhancing existing data & AI solutions, making sure they run in a robust and performant manner. Solutions will be designed for both local and global customers, working mostly with cloud-based solutions in both AWS and Azure. You will proactively expand your expertise in both existing and new functionalities, along with best practices in the data and AI space, applying these learnings in your daily job. 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 Data & AI Architect you will have the opportunity to: • Design end-to-end solution architectures (As-Is and To-Be) for data and AI products, platforms, and projects, • Evaluate architecture options and technology choices against established standards and patterns, • Reuse existing components, patterns, and platform services to ensure consistency and accelerate delivery, • Provide architectural guidance for data and AI use cases, • Collaborate with product, project, and platform teams to ensure solutions are scalable and aligned with enterprise standards, • Contribute to Architecture Board reviews and architecture decision processes, • Translate high-level designs into detailed technical specifications to support implementation, • Assess architecture impacts of proposed changes, including risks, dependencies, and downstream effects, • Provide effort estimations for architecture activities to support planning and prioritisation, • Produce and maintain architecture documentation, including Architecture Specification Documents (ASDs), • Contribute to the definition and evolution of architecture patterns, standards, and best practices, • Ensure alignment with IT approval processes and governance requirements, • Participate in architecture communities and cross-functional collaboration forums, • Work alongside experts in various technological domains, • Enhance your skills with real-world experience, • Contribute to a team that values your input and creativity What Makes You a great Fit?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! As a Data & AI Architect your skills and qualifications will ideally include: • Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field., • Experience architecting data & AI solutions., • Data modelling experience with techniques such as 3rd normal form, data vault, and dimensional modelling., • Experience with data pipeline tools, especially one or more of Azure Data Factory, SSIS, Informatica, Databricks, Snowflake, and AWS Glue., • Database and lake experience with one or more of Azure SQL, DB2, Azure Data Lake, Databricks lakehouse, Snowflake, AWS RDS or similar., • Azure and/or AWS experience., • Experience with AWS Bedrock Agentcore and/or Azure AI Foundry is a plus., • Knowledge of CI/CD., • Knowledge of Infrastructure as code solutions such as Terraform is an advantage., • Knowledge of containers and container orchestration such as AKS / EKS is an advantage., • Knowledge of APIs is an advantage., • Knowledge of reporting tools such as Power BI is an advantage., • Knowledge of languages such as Python, Scala and SQL is an advantage., • Having experience in insurance is an advantage., • Analytical and problem-solving capabilities., • Proactivity is a must., • Excellent English and communication skills., • Flexibility to take on new challenges, including architecting with new technologies., • And… What Makes Us Special? As well as a competitive salary and a yearly bonus, we offer: • To support your work-life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs., • Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits., • Life and accident insurance., • Collective Life retirement Plan., • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts., • Functional diversity benefits., • Stock options and mortgage benefits. Where Are We Located? Barcelona, Poblenou. Li-hybrid Location(s): ES - Barcelona Remote working: HybridSchedule: Full Time We are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. Zurich Technology Delivery Center – Your Talent, Our StrengthWhy ZurichAt 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 are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great! Join us as we constantly explore new ways to protect our customers and the planet. #J-18808-Ljbffr

We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding.What Your Responsibilities Will Be- Master Data Management & Golden Records- Help define, implement and evolve Master Data Management capabilities across key enterprise domains such as customer, supplier, product, material, donor, employee or location data.- Support the definition of golden record rules, matching, merging, survivorship, hierarchy management and data synchronization patterns across systems.- Collaborate with Data Engineering and application teams to integrate master data with ERP, CRM, analytics platforms, data lakes, data warehouses and downstream reporting solutions.- Contribute to the design and operation of MDM workflows for data creation, change, approval, exception handling, de-duplication and lifecycle management.- Data Governance, Quality & Compliance- Support the implementation of data governance policies, standards, ownership, stewardship responsibilities, decision rights and escalation mechanisms. Make data standards available for Advance Analytics consumption: data AI readiness.- Define and monitor data quality rules, KPIs, thresholds and remediation processes to improve accuracy, completeness, consistency, timeliness and trust.- Work with business data owners and stewards to identify root causes of data issues and drive sustainable corrective actions at the source.- Ensure data initiatives consider security, privacy, auditability, regulatory expectations and compliance requirements in a highly regulated environment.- Experience building and maintaining data catalogs for lake house environments, ensuring that high-value analytical variables and datasets are documented, contextualized and reusable for Advanced Analytics, AI use cases and MDM initiatives- Experience defining business ontologies, semantic models and controlled vocabularies to improve data consistency, interoperability, discoverability and AI-readiness across enterprise data domains.- Knowledge of AI governance concepts, data governance for AI, responsible AI principles, privacy-by-design, data risk assessment and emerging regulatory expectations such as the EU AI Act.- Enterprise Data Transformation & Operating Model- Support the execution of the company data transformation roadmap, helping move the organization toward governed, trusted and reusable enterprise data capabilities.- Translate strategic data objectives into actionable initiatives, deliverables, milestones and adoption plans across IT and business domains.- Contribute to the definition and implementation of a hybrid / federated data operating model, balancing central standards with business domain execution.- Drive coordination across Data Office, IT teams, Business stakeholders, external partners and data owners to ensure consistent execution and accountability.- Metadata, Catalog, Lineage & Documentation- Promote the adoption of business glossaries, data dictionaries, metadata standards and cataloging practices to improve discoverability and common understanding of data.- Support the documentation of critical data flows, lineage, transformations, ownership, usage, controls and dependencies across source systems and analytical platforms.- Help establish reusable templates, standards and ways of working for documenting data architecture, MDM domains, data products, data marketplace publishing practices and governance processes.Who You AreTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions).- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering or a related field.- Minimum of 5 years of experience in data management, master data management, data governance, data quality, data architecture or enterprise data transformation initiatives.- Experience with MDM concepts and platforms such as Reltio, SAP MDG, Informatica MDM, Semarchy, Profisee or similar solutions, data lakes and data catalog tools.- Knowledge of data governance frameworks, data ownership, stewardship, data quality management, metadata management, cataloging and lineage. Experience with Microsoft Purview.- Understanding of data integration patterns, APIs, ETL/ELT, data pipelines, ERP integration and analytical data platforms.- Advanced English language skills, both spoken and written.- Strong ownership mindset, accountability and ability to drive topics from ambiguity to execution.- Excellent stakeholder management and communication skills, with the ability to influence without direct authority across business and IT teams. Collaboration.- Ability to facilitate workshops, align different perspectives and convert complex data topics into clear decisions and practical actions.- Comfortable operating in a matrixed, global organization and coordinating with teams across functions, geographies and time zones.- Pragmatic, structured and delivery-oriented, with the ability to balance governance discipline with business agility.- Continuous improvement mindset and willingness to build internal capability through knowledge transfer, documentation and enablement.What We OfferIt is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.Information about Grifols is available at www.Grifols.Com.We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.Grifols is an equal opportunity employer.Flexibility for U Program: Hybrid Model.Benefits PackageContract of Employment:Permanent position.Location: Parets del Vallès.Www.Grifols.ComLocation: SPAIN : España : Parets del Valles:[[cust_building]]Learn more about Grifols#J-18808-Ljbffr

IQUADRAT INFORMATICA SL, a Barcelona-based technology company, is seeking several Researchers to join their R&D department.