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Gracia101 is looking for an MDM Consultant on behalf of a global organization based in Barcelona. 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., • Keep documentation and data assets (data catalog) up-to-date for own area Education & 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 Critical competencies: • 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.

Experiencia en al menos 2 proyectos de implantación o roll out en SAP S/4HANA con migración de datos. Mínimo 2 años de experiencia usando herramientas de migración como SAP Migration Cockpit, LTMOM o soluciones ETL. ETL (soluciones como SAP Data Services, Informatica, Talend).

Overview Join Accenture to lead the total reinvention of clients through data and technology. You will define and deploy data and AI strategies, govern data and drive value-generating analytics. You’ll collaborate with cross-functional teams, manage stakeholder workshops, and guide change management in a hybrid Madrid/Barcelona setting. This role offers the chance to shape large-scale data initiatives and advance organizational data culture in a diverse, inclusive environment. Compensaciones / Beneficios • Medical, Life, and Accident Insurance, • Wellness programs, • Flexible compensation program and stock purchase, • Flexibility programs (hours, days off, vacations), • Individualized training itinerary, • Sustainability programs and Accenture Foundation Responsabilidades, • Collaborate with clients to define and deploy data & AI strategies, • Conduct data maturity assessments and identify improvement opportunities, • Define and deploy data governance frameworks and operating models, • Develop and implement policies for data management, • Support clients in leveraging analytics and AI for business value, • Identify data & AI use cases with P&L impact and assess feasibility, • Work with cross-functional teams to deploy data governance and AI solutions, • Deliver insights via data visualization and storytelling to inform decisions, • Manage stakeholders and run workshops for alignment on data initiatives, • Define and execute change management and data culture initiatives, • Prepare presentations and dossiers for top IT, Data and business audiences Requisitos principales, • Strong knowledge of data strategy, governance, and data management with at least 7 years of experience, • Experience enabling business value from data & AI, • Familiarity with DAMA, IDG or other data governance frameworks, • Experience with data governance tools: Informatica, Collibra, Talend, • Experience using analytics tools (SQL, Python, R), visualization tools (Tableau, Power BI) and cloud platforms (AWS, Azure, Google Cloud), • Knowledge of Data Mesh, Data Fabric, Open Data (plus), • Experience in data modeling, mining, or architecture design (plus), • Project management experience (scoping, timelines, deliverables), • Excellent presentation and stakeholder engagement skills, • Experience managing teams and commercial activities, • Fluent in Spanish and English; MS Excel and MS PowerPoint knowledge, • Data governance certifications are a plus, • Excellent presentation and communication skills, • Stakeholder management, • Change management, • Informatica, • Collibra, • Talend

Overview Join Accenture to lead the total reinvention of clients through data and technology. You will define and deploy data and AI strategies, govern data and drive value-generating analytics. You’ll collaborate with cross-functional teams, manage stakeholder workshops, and guide change management in a hybrid Madrid/Barcelona setting. This role offers the chance to shape large-scale data initiatives and advance organizational data culture in a diverse, inclusive environment. Compensaciones / Beneficios • Medical, Life, and Accident Insurance, • Wellness programs, • Flexible compensation program and stock purchase, • Flexibility programs (hours, days off, vacations), • Individualized training itinerary, • Sustainability programs and Accenture Foundation Responsabilidades, • Collaborate with clients to define and deploy data & AI strategies, • Conduct data maturity assessments and identify improvement opportunities, • Define and deploy data governance frameworks and operating models, • Develop and implement policies for data management, • Support clients in leveraging analytics and AI for business value, • Identify data & AI use cases with P&L impact and assess feasibility, • Work with cross-functional teams to deploy data governance and AI solutions, • Deliver insights via data visualization and storytelling to inform decisions, • Manage stakeholders and run workshops for alignment on data initiatives, • Define and execute change management and data culture initiatives, • Prepare presentations and dossiers for top IT, Data and business audiences Requisitos principales, • Strong knowledge of data strategy, governance, and data management with at least 7 years of experience, • Experience enabling business value from data & AI, • Familiarity with DAMA, IDG or other data governance frameworks, • Experience with data governance tools: Informatica, Collibra, Talend, • Experience using analytics tools (SQL, Python, R), visualization tools (Tableau, Power BI) and cloud platforms (AWS, Azure, Google Cloud), • Knowledge of Data Mesh, Data Fabric, Open Data (plus), • Experience in data modeling, mining, or architecture design (plus), • Project management experience (scoping, timelines, deliverables), • Excellent presentation and stakeholder engagement skills, • Experience managing teams and commercial activities, • Fluent in Spanish and English; MS Excel and MS PowerPoint knowledge, • Data governance certifications are a plus, • Excellent presentation and communication skills, • Stakeholder management, • Change management, • Informatica, • Collibra, • Talend

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 En este rol, lideras la migración de datos en proyectos SAP S/4HANA, asegurando calidad e integridad para movimientos a gran escala. Colaboras estrechamente con negocio y clientes para definir requisitos y validar resultados, impulsando la transformación digital de clientes a nivel internacional. Trabajas en un entorno híbrido en España, formando parte de equipos multicés y gestionando ciclos de migración desde mock loads hasta cutover y go-live. La posición ofrece impacto directo en la entrega de soluciones de datos y mejora de servicios para ciudadanos y negocio. Compensaciones / Beneficios • Seguro médico, • Seguro de Vida y accidentes, • Servicios médicos y programas de bienestar, • Retribución flexible, • Compra de acciones, • Programas de sostenibilidad Responsabilidades, • Liderar el proceso end-to-end de migración de datos en implantaciones y roll outs SAP, • Punto de contacto con negocio y cliente para definir requisitos de datos y validar resultados, • Coordinación de actividades de migración con equipos funcionales, técnicos y de integración, • Asegurar calidad, integridad y trazabilidad de datos migrados mediante controles y validaciones, • Diseño y ejecución de estrategias de migración utilizando herramientas SAP Migration Cockpit, LTMOM y ETL, • Ejecutar ciclos de migración (mock loads, validaciones, cutover) y soporte durante go-live Requisitos principales, • Mínimo 5 años de experiencia en proyectos de migración de datos en SAP, • Experiencia en al menos 2 proyectos de implantación o roll out en SAP S/4HANA con migración de datos, • Mínimo 2 años de experiencia usando herramientas de migración como SAP Migration Cockpit, LTMOM o soluciones ETL, • Experiencia mínima de 2 años en definición de validaciones de datos, reconciliación y control de calidad, • Nivel de inglés mínimo B2 en conversación profesional, • Grado universitario en Ingeniería Informática, Telecomunicaciones, ADE o áreas afines (o equivalencia de 4 años de experiencia), • Habilidad de comunicación con negocio y clientes, • Coordinación y liderazgo de equipos/streams, • Orientación a calidad y detalle, • SAP Migration Cockpit, • LTMOM, • ETL (soluciones como SAP Data Services, Informatica, Talend)

Overview En este rol, lideras la migración de datos en proyectos SAP S/4HANA, asegurando calidad e integridad para movimientos a gran escala. Colaboras estrechamente con negocio y clientes para definir requisitos y validar resultados, impulsando la transformación digital de clientes a nivel internacional. Trabajas en un entorno híbrido en España, formando parte de equipos multicés y gestionando ciclos de migración desde mock loads hasta cutover y go-live. La posición ofrece impacto directo en la entrega de soluciones de datos y mejora de servicios para ciudadanos y negocio. Compensaciones / Beneficios • Seguro médico, • Seguro de Vida y accidentes, • Servicios médicos y programas de bienestar, • Retribución flexible, • Compra de acciones, • Programas de sostenibilidad Responsabilidades, • Liderar el proceso end-to-end de migración de datos en implantaciones y roll outs SAP, • Punto de contacto con negocio y cliente para definir requisitos de datos y validar resultados, • Coordinación de actividades de migración con equipos funcionales, técnicos y de integración, • Asegurar calidad, integridad y trazabilidad de datos migrados mediante controles y validaciones, • Diseño y ejecución de estrategias de migración utilizando herramientas SAP Migration Cockpit, LTMOM y ETL, • Ejecutar ciclos de migración (mock loads, validaciones, cutover) y soporte durante go-live Requisitos principales, • Mínimo 5 años de experiencia en proyectos de migración de datos en SAP, • Experiencia en al menos 2 proyectos de implantación o roll out en SAP S/4HANA con migración de datos, • Mínimo 2 años de experiencia usando herramientas de migración como SAP Migration Cockpit, LTMOM o soluciones ETL, • Experiencia mínima de 2 años en definición de validaciones de datos, reconciliación y control de calidad, • Nivel de inglés mínimo B2 en conversación profesional, • Grado universitario en Ingeniería Informática, Telecomunicaciones, ADE o áreas afines (o equivalencia de 4 años de experiencia), • Habilidad de comunicación con negocio y clientes, • Coordinación y liderazgo de equipos/streams, • Orientación a calidad y detalle, • SAP Migration Cockpit, • LTMOM, • ETL (soluciones como SAP Data Services, Informatica, Talend)

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

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:Solution Design & DeliveryDesign end-to-end solution architectures (As-Is and To-Be) for data and AI products, platforms, and projectsEvaluate architecture options and technology choices against established standards and patternsReuse existing components, patterns, and platform services to ensure consistency and accelerate deliveryData & AI Solution SupportProvide architectural guidance for data and AI use casesCollaborate with product, project, and platform teams to ensure solutions are scalable and aligned with enterprise standardsContribute to Architecture Board reviews and architecture decision processesImplementation Guidance & Impact AnalysisTranslate high-level designs into detailed technical specifications to support implementationAssess architecture impacts of proposed changes, including risks, dependencies, and downstream effectsProvide effort estimations for architecture activities to support planning and prioritisationDocumentation & StandardsProduce and maintain architecture documentation, including Architecture Specification Documents (ASDs)Contribute to the definition and evolution of architecture patterns, standards, and best practicesCollaboration & PracticesEnsure alignment with IT approval processes and governance requirementsParticipate in architecture communities and cross-functional collaboration forumsWork 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 Plan2000 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 YouCan 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. 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.Location(s): ES - Barcelona Remote working: HybridSchedule: Full TimeRecruiter name: Laura Santamaría Rodríguez:

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:Solution Design & DeliveryDesign end-to-end solution architectures (As-Is and To-Be) for data and AI products, platforms, and projectsEvaluate architecture options and technology choices against established standards and patternsReuse existing components, patterns, and platform services to ensure consistency and accelerate deliveryData & AI Solution SupportProvide architectural guidance for data and AI use casesCollaborate with product, project, and platform teams to ensure solutions are scalable and aligned with enterprise standardsContribute to Architecture Board reviews and architecture decision processesImplementation Guidance & Impact AnalysisTranslate high-level designs into detailed technical specifications to support implementationAssess architecture impacts of proposed changes, including risks, dependencies, and downstream effectsProvide effort estimations for architecture activities to support planning and prioritisationDocumentation & StandardsProduce and maintain architecture documentation, including Architecture Specification Documents (ASDs)Contribute to the definition and evolution of architecture patterns, standards, and best practicesCollaboration & PracticesEnsure alignment with IT approval processes and governance requirementsParticipate in architecture communities and cross-functional collaboration forumsWork 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 Plan2000 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 YouCan 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.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.Location(s): ES - Barcelona Remote working: HybridSchedule: Full TimeRecruiter name: Laura Santamaría Rodríguez:

Gracia101 is looking for an MDM Consultant on behalf of a global organization based in Barcelona. 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., • Keep documentation and data assets (data catalog) up-to-date for own area Education & 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 Critical competencies: • 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.

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

AgileEngine is seeking a data stewardship professional to validate and manage product data across core systems, ensuring accuracy for launches. You will upload data to the PIM, resolve gaps with stakeholders, and support teams with data usage issues. The role requires 3+ years in data management, strong Excel skills, and experience with PIM tools such as InRiver, Salsify, Informatica or Akeneo, plus excellent English communication. Flexible, hybrid work options available. #J-18808-Ljbffr

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

We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all. At Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization. Are you ready to lead the digital transformation to create a more sustainable world?ð³ If you are up to challenge your creativity and make an impact, we are excited to welcome you! Schneider Digital is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing. Barcelona Digital Technology Center is part of Schneider Digital: enabling Schneider-Electric digital transformation by delivering Business Requirements. We are looking for a skilled Data Integration & Data Warehousing Engineer to design, build, and manage scalable data pipelines and enterprise data warehouse solutions using AWS Glue , AWS Lambda and Informatica. This role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability. The ideal candidate should have strong experience in ETL/ELT frameworks, data warehousing design, advanced SQL development, and cloud-based data engineering. Key Responsibilities:Data Integration & Pipeline Development Design, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenter Build robust ETL/ELT workflows for ingesting structured data from multiple sources (databases, APIs, files, SaaS systems) Develop reusable ingestion frameworks to support data migration from on-prem to cloud Data Warehousing & Modelling Develop and maintain dimensional models (fact/dimension tables, SCD handling) Optimize data models for analytics and reporting performance Cloud Data Engineering Develop and manage AWS Glue jobs using PySpark / Python Build and orchestrate workflows across AWS ecosystem (Redshift, Lambda) Ensure efficient compute and storage utilization for performance and cost optimization Monitoring & Operations Monitor ETL pipelines and job performance Troubleshoot data failures and performance bottlenecks Implement logging, alerting, and recovery mechanisms Data Engineering & Processing Build scalable data processing solutions using Spark and distributed computing techniques Perform data profiling, reverse engineering, and ad-hoc analysis Support downstream systems by delivering clean, reliable, and optimised datasets What qualifications will make you successful for this role?Experience & Qualifications 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 roles Experience working in enterprise-scale data environments Strong hands-on experience in Python / PySpark Strong proficiency in SQL (querying, optimization, transformations) Experience in building and maintaining data pipelines (ETL/ELT) Experience with AWS services (AWS Glue, AWS Lambda, S3) Version control using GIT Good to Have Hands-on experience with Informatica PowerCenterExperience with workflow orchestration tools (Airflow / Step Functions) Strong understanding of data warehousing concepts (EDW, ODS, staging layers) Knowledge of CI/CD pipelines for data engineering Exposure to cloud-based data lake architectures Knowledge of BI tools like Oracle Analytics Cloud and ThoughtSpot Key Competencies Strong analytical and problem-solving skills Deep understanding of data structures and relationships Attention to data quality and accuracy Ability to work in cross-functional teams Ownership mindset for delivery and operations What will you get? We adapt to you: ð With our flexible schedule, you'll have the freedom to adjust your work hours to accommodate your personal needs and responsibilities. ð» We know how great it is to work from home. With our hybrid work plan, you can enjoy working from the comfort of your home. ð Need more time to relax and disconnect? With our Holy Pack, you can purchase additional vacation days to recharge when you need it most. ð Celebrate holidays your way! With Floating Holidays, you can exchange holidays for other days that better suit your plans and personal preferences. ð§‍Need additional time to explore new experiences or focus on personal projects? With the Sabbatical Pack, you can request up to 2 months of extra leave (unpaid). ð We value the importance of family and want to support you in all aspects of your life. Our Global Family Leave Policy provides flexible paid conditions for when you need it most, whether you're about to be a parent, need time to overcome a loss, or to care for a loved one. We take care of you: ð With access to the health and wellness platform Wellwo, you and up to 5 people of your choice can enjoy access to wellness content, nutrition counseling, fitness classes, and more! ð‍From dance classes to booking a hotel spa, we offer an agreement with Wellhub so you can access a network of thousands of gyms and sports centers to keep your body active in the way you like best. ðº Your well-being is our priority. You will have medical service at your workplace for close attention to any medical needs. We empower you: ð With Career Hub, our AI-driven professional development platform, you can connect with job opportunities, projects, and mentors at Schneider Electric globally. ð We offer you the opportunity to be a shareholder of Schneider Electric and share in our achievements with our stock ownership program. ð We celebrate everyone's talent and success with our recognition program, through which you can give and receive points for your achievements and redeem them for gift cards at your favorite stores. ð You will have life insurance for your protection. ð We offer you a Flexible Remuneration Plan in which you can choose from a variety of options, such as health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more. ð With Club Schneider, you will enjoy special discounts at your favorite stores, restaurants, travel agencies, and other external services. ð Participate in company-subsidized volunteer programs to contribute to our community and have a positive impact on your environment. Let us learn about you! Apply today.DIGDATA24 Let us learn about you! Apply today.Looking to make an IMPACT with your career?When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.Become an IMPACT Maker with Schneider Electric – apply today!€40 billion global revenue+9% organic growth150 000+ employees in 100+ countriesYou must submit an online application to be considered for any position with us. This position will be posted until filled.Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter hereSchneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Overview 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. Compensaciones / Beneficios • flexible schedule and hybrid work, • vacation and personal time policies (Holy Pack, floating holidays), • global family leave policy, • Wellbeing programs (Wellwo, Wellhub), • life insurance and flexible remuneration plan, • Stock ownership program Responsabilidades, • 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 Requisitos principales, • 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, • 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, • SQL

Overview 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. Compensaciones / Beneficios • flexible schedule and hybrid work, • vacation and personal time policies (Holy Pack, floating holidays), • global family leave policy, • Wellbeing programs (Wellwo, Wellhub), • life insurance and flexible remuneration plan, • Stock ownership program Responsabilidades, • 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 Requisitos principales, • 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, • 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, • SQL

Overview In this role you build and maintain scalable data pipelines and trusted datasets to power decision-making across EU Transportation. You join the MINT team, a SSOT initiative, working with engineers to shape data infrastructure and governance. You will tackle data quality, storage, and integration challenges while collaborating with operations, finance, and science. This is a fast-paced role at Amazon that combines engineering rigor with business impact, offering mentorship and cross-functional exposure. Compensaciones / Beneficios • work-life balance, • inclusive team culture, • mentorship & career growth Responsabilidades, • Design, implement, and automate scalable data pipelines (Redshift, Glue), • Evolve data models and schemas to ensure accuracy and single source of truth, • Develop and maintain curated reference datasets and data assets, • Monitor data quality and troubleshoot production data incidents, • Plan and implement future data storage and integration solutions, • Collaborate with operations, finance, and science to translate requirements into data solutions, • Investigate root causes of data defects to ensure reliability across the platform Requisitos principales, • Experience in data engineering, • Experience with data modeling, warehousing, and building ETL pipelines, • Experience with SQL-based languages (e.g., SQL, PL/SQL) and other query languages, • Experience with scripting (e.g., Python), • Understanding of data quality and data governance concepts, • Cross-functional collaboration, • Problem solving and analytical thinking, • Communication and stakeholder management, • SQL / PL-SQL / HiveQL / SparkSQL / Scala, • Python scripting, • ETL tools (Informatica, ODI, SSIS, BODI, Datastage)

Overview In this role you build and maintain scalable data pipelines and trusted datasets to power decision-making across EU Transportation. You join the MINT team, a SSOT initiative, working with engineers to shape data infrastructure and governance. You will tackle data quality, storage, and integration challenges while collaborating with operations, finance, and science. This is a fast-paced role at Amazon that combines engineering rigor with business impact, offering mentorship and cross-functional exposure. Compensaciones / Beneficios • work-life balance, • inclusive team culture, • mentorship & career growth Responsabilidades, • Design, implement, and automate scalable data pipelines (Redshift, Glue), • Evolve data models and schemas to ensure accuracy and single source of truth, • Develop and maintain curated reference datasets and data assets, • Monitor data quality and troubleshoot production data incidents, • Plan and implement future data storage and integration solutions, • Collaborate with operations, finance, and science to translate requirements into data solutions, • Investigate root causes of data defects to ensure reliability across the platform Requisitos principales, • Experience in data engineering, • Experience with data modeling, warehousing, and building ETL pipelines, • Experience with SQL-based languages (e.g., SQL, PL/SQL) and other query languages, • Experience with scripting (e.g., Python), • Understanding of data quality and data governance concepts, • Cross-functional collaboration, • Problem solving and analytical thinking, • Communication and stakeholder management, • SQL / PL-SQL / HiveQL / SparkSQL / Scala, • Python scripting, • ETL tools (Informatica, ODI, SSIS, BODI, Datastage)

Overview Join Accenture to lead the total reinvention of clients through data and technology. You will define and deploy data and AI strategies, govern data and drive value-generating analytics. You’ll collaborate with cross-functional teams, manage stakeholder workshops, and guide change management in a hybrid Madrid/Barcelona setting. This role offers the chance to shape large-scale data initiatives and advance organizational data culture in a diverse, inclusive environment. Compensaciones / Beneficios • Medical, Life, and Accident Insurance, • Wellness programs, • Flexible compensation program and stock purchase, • Flexibility programs (hours, days off, vacations), • Individualized training itinerary, • Sustainability programs and Accenture Foundation Responsabilidades, • Collaborate with clients to define and deploy data & AI strategies, • Conduct data maturity assessments and identify improvement opportunities, • Define and deploy data governance frameworks and operating models, • Develop and implement policies for data management, • Support clients in leveraging analytics and AI for business value, • Identify data & AI use cases with P&L impact and assess feasibility, • Work with cross-functional teams to deploy data governance and AI solutions, • Deliver insights via data visualization and storytelling to inform decisions, • Manage stakeholders and run workshops for alignment on data initiatives, • Define and execute change management and data culture initiatives, • Prepare presentations and dossiers for top IT, Data and business audiences Requisitos principales, • Strong knowledge of data strategy, governance, and data management with at least 7 years of experience, • Experience enabling business value from data & AI, • Familiarity with DAMA, IDG or other data governance frameworks, • Experience with data governance tools: Informatica, Collibra, Talend, • Experience using analytics tools (SQL, Python, R), visualization tools (Tableau, Power BI) and cloud platforms (AWS, Azure, Google Cloud), • Knowledge of Data Mesh, Data Fabric, Open Data (plus), • Experience in data modeling, mining, or architecture design (plus), • Project management experience (scoping, timelines, deliverables), • Excellent presentation and stakeholder engagement skills, • Experience managing teams and commercial activities, • Fluent in Spanish and English; MS Excel and MS PowerPoint knowledge, • Data governance certifications are a plus, • Excellent presentation and communication skills, • Stakeholder management, • Change management, • Informatica, • Collibra, • Talend

Overview In this role you build and maintain scalable data pipelines and trusted datasets to power decision-making across EU Transportation. You join the MINT team, a SSOT initiative, working with engineers to shape data infrastructure and governance. You will tackle data quality, storage, and integration challenges while collaborating with operations, finance, and science. This is a fast-paced role at Amazon that combines engineering rigor with business impact, offering mentorship and cross-functional exposure. Compensaciones / Beneficios • work-life balance, • inclusive team culture, • mentorship & career growth Responsabilidades, • Design, implement, and automate scalable data pipelines (Redshift, Glue), • Evolve data models and schemas to ensure accuracy and single source of truth, • Develop and maintain curated reference datasets and data assets, • Monitor data quality and troubleshoot production data incidents, • Plan and implement future data storage and integration solutions, • Collaborate with operations, finance, and science to translate requirements into data solutions, • Investigate root causes of data defects to ensure reliability across the platform Requisitos principales, • Experience in data engineering, • Experience with data modeling, warehousing, and building ETL pipelines, • Experience with SQL-based languages (e.g., SQL, PL/SQL) and other query languages, • Experience with scripting (e.g., Python), • Understanding of data quality and data governance concepts, • Cross-functional collaboration, • Problem solving and analytical thinking, • Communication and stakeholder management, • SQL / PL-SQL / HiveQL / SparkSQL / Scala, • Python scripting, • ETL tools (Informatica, ODI, SSIS, BODI, Datastage)

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 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 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

InformaticaStrong knowledge of:Informatica Data Quality (IDQ)Informatica PowerCenterThe following would be considered a plus:Informatica Cloud / IDMCCDGC (Cloud Data Governance and Catalog)Master Data Management (MDM)RequirementsBachelor's degree in Computer Science, Software Engineering, or a relat

InformaticaStrong experience with the Informatica ecosystem, including:Informatica Data Quality (IDQ)Informatica PowerCenterInformatica Cloud / IDMCCDGC (Cloud Data Governance and Catalog) — highly desirableMaster Data Management (MDM) — desirableAdditional InformationWhat do we offer you?Remote

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

In this role, you will support clients in analyzing and implementing data solutions using Informatica technologies. Provide functional and technical expertise on Informatica solutions. Informatica Data Quality (IDQ).

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

Job Title: Expert Digital & Tech Technical Data Steward (79829)City, Country: Barcelona, Spain / Hyderabad, IndiaAs 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 responsibilitiesData improvements & stewardship: Execute domain-driven initiatives to consolidate, harmonize, and assess data; track progress, issues, risks, and mitigations.Data 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 and prevent 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 patterns.Data 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 OfferUnique career paths across health, nutrition and beauty - explore what drives you and get the support to make it happenA chance to impact millions of consumers every day – sustainability embedded in all we doA science led company, cutting edge research and creativity everywhere – from biotech breakthroughs to sustainability game-changers, you’ll work on what’s nextGrowth that keeps up with you – you join an industry leader that will develop your expertise and leadershipA 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 bringBachelor’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 statementWe’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

Provide functional and technical expertise on Informatica solutions. Informatica Data Quality (IDQ). In this role, you will support clients in analyzing and implementing data solutions using Informatica technologies.

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.

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 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

• Azure and/or AWS experience. 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! 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. 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. • 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, • Collaboration & 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. 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. • 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. As well as a competitive salary and a yearly bonus, we offer: • To support your work-life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs., • Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits., • Life and accident insurance., • Collective Life retirement Plan, • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts, • Functional diversity benefits, • Stock options and mortgage benefits. Barcelona, Poblenou. 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? 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, • Remote working: Hybrid, • Schedule: Full Time #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 mitigations. Data 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 patterns. Data 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

Hi 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. 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. The 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. 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 excellence 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., • 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., • 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. As well as a competitive salary and a yearly bonus, we offer: • To support your work‑life balance, we have adopted a flexible working model., • Option to work abroad up to 25 days yearly., • Over 300 euros to set up your home office and additional monthly home office allowance., • Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs., • Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits., • Life and accident insurance., • Collective Life retirement Plan, • 2000 referral bonus if you bring other talented people like you to the company., • Special banking and insurance conditions plus Exclusive Employees discounts, • Functional diversity benefits, • Stock options and mortgage benefits. Barcelona, Poblenou. #Li-hybrid We 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

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! As a Data Steward, you’ll own how product information moves from business teams to market — validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross-functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready. For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you. • Validate product data across core systems to ensure completeness and accuracy;, • Upload product data into PIM systems and resolve data gaps with stakeholders;, • Support business teams with product data issues across channels;, • Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines;, • Create, track, and report on product data and launch status;, • Maintain and reconfigure syndication templates in inRiver., • 3+ years of experience in data management;, • Understanding of data lifecycle;, • Experience using multiple tools for data management and stewardship;, • Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo);, • Experience with PIM syndication for retailers or marketplaces;, • Proficiency in Excel;, • Ability to work under tight deadlines;, • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options. Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer. #J-18808-Ljbffr

Data Architect Location: Remote from Spain (an indefinite Spanish employment contract) We are hiring a Data Architect to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client.This is a hands-on architect role.You will co-own th

table.MiTabla { max-width: 1020px; }Would you like tojoin an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.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 beMaster Data Management & Golden RecordsHelp 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 & ComplianceSupport 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 initiativesExperience 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 ModelSupport 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 & DocumentationPromote 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 If you are interested in joining our company and you have what it takes for such an exciting position, then don't hesitate to apply! We look forward to receiving your application! 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.#LI-Hybrid#LI-ER1Location: SPAIN : España : Parets del Valles:[[cust_building]]Learn more about Grifols

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: 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 #J-18808-Ljbffr

Data Classification, Standards and Definitions Partner — Job Architecture & SkillsLocation: Barcelona, SpainAbout the jobThe Skills, Tasks, and Job Architecture Data Classification Partner is a newly created, strategically critical individual contributor role and has been established in direct response to one of Sanofi's most urgent and high-priority strategic imperatives: the integration of skills and tasks data into the Data Foundation within the upcoming year in support of Sanofi's skills-based organisation transformation.This role is the designer of enterprise data governance frameworks, standards, and data quality rules for the Skills, Tasks, and Job Architecture domains and owns the governance infrastructure that makes the data trustworthy and AI-ready.Key ResponsibilitiesData Governance Framework Design & OwnershipDesign the enterprise data governance frameworks, standards, and data quality rules for the Skills, Tasks, and Job Architecture domains ensuring it serves business outcomesTranslate governance decisions and policy updates into usable, consistent, and actionable data assets across the Skills, Tasks, and Job Architecture domainsDocument and maintain approved data definitions and data quality rules for Skills, Tasks, and Job Architecture dataEnsure the data catalogue is complete, accurate, and continuously up to date —including definitions, ownership, lineage, sensitivity classification, and data quality rulesClassify data assets including sensitivity classification, ensuring full compliance with governance and regulatory requirementsManage data sharing agreements for all cross-domain data exchanges involving Skills, Tasks, and Job Architecture dataEnsure Job Architecture data consistency and alignment across global regions and functionsData Quality Campaign Design & GovernanceDesign and run the data quality check framework across source systems and the Data Foundation — defining rules, ownership, review cycles, and escalation pathsDerive and drive proactive data quality campaigns across Skills, Tasks, and Job Architecture data domains — identifying patterns of poor data quality, designing targeted remediation campaigns, and coordinating with team members to execute them at scaleInvestigate root causes of systemic data issues across Workday — diagnosing structural problems and translating findings into corrective governance actions and campaign-based remediation effortsMonitor data quality trends over time, using insights to continuously improve data quality rules, checks, and governance standardsData Foundation Enablement & Technical GovernanceEnable Skills, Tasks, and Job Architecture data for the Data Foundation, serving as the key SME to the Data Foundation team within the assigned scopeEnsure data consistency, lineage and traceability from source systems through to the Data FoundationOwn the SkyHive interface on the technical lineage and data catalog side: maintain data lineage documentation for the Workday-to-SkyHive data feed, ensure SkyHive data assets are cataloged in Informatica CDGC, and govern the technical data sharing agreement for the SkyHive integrationSupport AI and analytics initiatives through proper data classification and standardizationEnsure data governance frameworks are in place to support current and future AI usage of Skills, Tasks, and Job Architecture dataBuild knowledge content on data governance and classification for AI initiatives and employees across the organizationWorkday Configuration Analysis & Root Cause AnalysisAnalyse local Workday rules, validations, and configurations that impact global standardisation efforts for Skills, Tasks, and Job Architecture dataIdentify where local configurations block the cloning or deployment of global standard configurationsSeparate genuine legal and compliance constraints from legacy or preference-based local rules to enable informed global standardization decisionsDomain Expertise & Stakeholder EngagementServe as the key global point of contact for data governance, data classification, and data catalog matters across Skills, Tasks, and Job Architecture dataPartner to drive adoption of global data standards across all regions and functionsTrain and support Local Data Champions across regions and business unitsSupport Data & Insights Team and analysts on relevant data matters to enable trusted reporting and analyticsCollaborate with the Digital Team on data configuration matters, providing expertise on data-related aspects and ensuring alignment between system configurations and data governance standardsAbout youRequired QualificationsBachelor's degree in Data Science, Information Technology, HR Analytics, Business Analytics, or a related fieldStrong understanding of Workday architecture, configurations, and data structures5+ years of experience in data management, HR analytics, or analytical rolesKnowledge of data governance tools and methodologies, data lineage, data cataloging, and metadata management practicesFamiliarity with data quality assessment and remediation techniquesUnderstanding of regulatory compliance requirements (GDPR, data privacy, etc.)Excellent analytical and problem-solving skills with attention to detailStrong communication skills with ability to translate technical concepts for business stakeholdersProject management capabilities with experience leading cross-functional initiativesPreferred QualificationsWorkday certification in HCM, Financial Management, or related modulesExperience with data governance frameworks (DAMA-DMBOK, DCAM, etc.)Knowledge of AI/ML data requirements and data preparation processesExperience in pharmaceutical, healthcare, or highly regulated industriesChange management skills and ability to influence without direct authorityGlobal mindset with understanding of regional compliance and business requirementsExperience with the SkyHive skills intelligence platformExperience working with Data Foundation / Snowflake environmentsExperience with the Cornerstone learning and talent management platformStrong hands-on experience with Skills, Jobs, Tasks, and Job Architecture data domainsStrong experience with Job Architecture data structures, taxonomies, and governance#LI-Hybrid #BarcelonaHub #SanofiHubsPursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!The salary range for this position is :49.600,00 - 66.133Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.SummaryLocation: BarcelonaType: Full time

If you are ready to lead the total reinvention of the company through data and technology, you have an opportunity to join the Accenture team and change the future of our clients and society.Responsibilities:Collaborate with clients to define and deploy data & AI strategies.Conduct data maturity assessments, identifying gaps and opportunities for improvement.Define and deploy data governance frameworks and operating models across various industries.Develop and implement policies and procedures for data management.Support clients in leveraging advanced analytics and AI for business insights and value generation.Identify data & AI use cases to impact the P&L, assessing the value potential and feasibility.Work closely with different functional and technical departments to deploy data governance and implement data & AI solutions.Deliver insights through data visualization and storytelling to inform decision-making.Manage stakeholder relationships and facilitate workshops to drive alignment on data initiatives.Define and execute change management and data culture initiatives.Elaborate presentations and dossiers targeting at top-level audiences within IT, Data and Business areas.Requirements:Strong knowledge of data strategy principles, data governance, and data management, with at least 7 years of experience.Experience supporting the business to exploit data & AI to generate value for the organization.Familiarity with DAMA, IDG, and/or other data governance frameworks.Familiarity with data governance tools: Informatica, Collibra, Talend, etc. Experience using analytics tools (e.G., SQL, Python, R), data visualization tools (e.G., Tableau, Power BI) and/or cloud platforms (e.G., AWS, Azure, Google Cloud).Knowledge of data management new trends such as Data Mesh, Data Fabric, Open Data, etc. is a plusExperience in data modeling, data mining and/or data architecture design is a plus.Project management experience, including scoping, timelines, and deliverables management.Excellent presentation and communication skills, with the ability to engage stakeholders.Experience managing teams and engaging in commercial activities.Fluent level of spoken and written Spanish and English.Knowledge of MS Excel and MS Power Point.Data governance certifications will be considered a plus.The position is based in Madrid or Barcelona and follows a hybrid work model, with some days working from home and others in the office, where you can create interesting synergies with the rest of your team. It is essential to reside in Spain and have a work permit in Spain.At Accenture, a company recognized as a Great Place To Work, we support a hybrid work model that, thanks to technology and our facilities, allows us to maintain the essential human connection to work with our teams and clients. A connection that allows us to maintain our culture of inclusion and diversity and be, according to Refinitiv, the most diverse company in the world.Additionally, we offer other benefits such as: Medical, Life, and Accident InsuranceMedical service and wellness programsFlexible compensation program and stock purchaseFlexibility programs (hours, days off, vacations...)Individualized training itinerarySustainability programs and Accenture FoundationEmployee network for diversityOther benefits: Bankinter office with special conditions and profit sharing#LI-EUAbout AccentureWe work with one shared purpose: to deliver on the promise of technology and human ingenuity.Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change.Visit us at Declaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.SummaryLocation: Madrid, Castellana 85; Barcelona, La RotondaType: Full time

Accenture, reconocida como Great Place To Work, una compañía líder mundial en servicios profesionales que ayuda a las principales empresas, administraciones públicas y otras organizaciones del mundo a desarrollar su core digital, optimizar sus operaciones, acelerar el crecimiento de sus ingresos y mejorar los servicios para los ciudadanos, creando valor tangible a velocidad y escala.Buscamos un perfil de SAP Data Migration Consultant con experiencia avanzada en migración de datos en entornos SAP S/4HANA, que quiera participar en programas de transformación digital de gran complejidad. Tendrás un rol clave interactuando con negocio y cliente, liderando procesos de migración en proyectos de implementación y roll out a gran escala.El puesto se desempeña en España en un modelo de trabajo híbrido realizando algunos días desde tu casa y otros en la oficina donde podrás crear interesantes sinergias con el resto de tu equipo.Funciones:Diseño y ejecución de estrategias de migración de datos en proyectos SAP S/4HANA utilizando herramientas como SAP Migration Cockpit, LTMOM o ETL externas.Análisis, limpieza y transformación de datos legacy asegurando su calidad y consistencia antes de la carga en SAP.Definición de reglas de transformación y mapeos funcionales en colaboración con negocio.Ejecución de ciclos de migración (mock loads, validaciones, cutover) y soporte durante el go-live.Responsabilidades:Liderar el proceso end-to-end de migración de datos en proyectos de implantación y roll out SAP.Actuar como punto de contacto con negocio y cliente para definir requisitos de datos y validar resultados.Coordinar actividades de migración con equipos funcionales, técnicos y de integración.Asegurar la calidad, integridad y trazabilidad de los datos migrados mediante controles y validaciones.Cualificaciones: Requisitos imprescindibles: Mínimo 5 años de experiencia en proyectos de migración de datos en SAP.Experiencia en al menos 2 proyectos de implantación o roll out en SAP S/4HANA con migración de datos.Mínimo 2 años de experiencia utilizando herramientas de migración como SAP Migration Cockpit, LTMOM o soluciones ETL.Experiencia mínima de 2 años en definición de validaciones de datos, reconciliación y control de calidad.Nivel de inglés mínimo B2 en conversación profesional.Grado universitario en Ingeniería Informática, Telecomunicaciones, ADE o áreas afines. Alternativamente, mínimo 4 años adicionales de experiencia en migración SAP como equivalencia.Requisitos valorables: Experiencia mínima de 1 año en herramientas de integración o ETL avanzadas (SAP Data Services, Informatica, Talend).Experiencia mínima de 1 año en proyectos internacionales o despliegues multi-país.Experiencia mínima de 1 año trabajando con metodologías ágiles (Scrum, SAFe).Experiencia en coordinación de equipos o liderazgo de streams de migración durante al menos 1 año.Certificaciones SAP relacionadas con S/4HANA o Data Migration.Se requiere conocimientos y experiencia en el uso de inteligencia artificial generativa y herramientas de IA aplicadas al puesto de trabajo, en línea con la apuesta de Accenture por un uso responsable y efectivo de la IA.En Accenture, compañía reconocida como Great Place To Work, apostamos por un modelo híbrido de trabajo que, gracias a la tecnología y a nuestras instalaciones, nos permiten mantener la conexión humana esencial para trabajar con nuestros equipos y clientes. Una conexión que nos permite mantener nuestra cultura de inclusión y diversidad y ser, según Refinitiv, la empresa más diversa del mundo.Además, te ofrecemos otros beneficios como: Seguro médico, de Vida y accidentesServicio médico y programas de bienestarPrograma de retribución flexible y compra de accionesProgramas de flexibilidad (horaria, de días libres, vacaciones...)Itinerario formativo individualizadoProgramas de sostenibilidad y Fundación AccentureRed de empleados por la diversidadOtros beneficios: Oficina Bankinter con condiciones especiales y reparto de beneficiosTítulos sugeridos: Senior SAP Data Migration ConsultantSAP Data Migration Specialist S/4HANASAP Data Migration Lead ConsultantAbout AccentureAccenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Declaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.SummaryLocation: Madrid, Torre Chamartin; Gijon, Asturias Bldg.; Malaga, I+D6 - South Building; Leon, Europa Bldg.; Sevilla, Bluenet; Barcelona, La RotondaType: Full time

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWHAT YOU WILL DO- Validate that mandatory product data across core systems is complete and accurate; - Upload product data into the PIM system and resolve data gaps with stakeholders; - Support business teamswith product data usage issues; - Clarify and communicate data requirements to stakeholders to ensure accuracy aligned with product launch timelines; - Create, track, and report on product data and launch status; - Reconfigure and maintain syndication templates in inRiver.MUST HAVES- 3+ years of experience in data management principles and concepts; - Understanding of data lifecycle; - Ability to use multiple tools for data stewardship; - Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo); - Experience with PIM syndication for retailers or marketplaces; - Proficiency in Excel;- Ability to work under pressure and meet deadlines; - Strong communication skills with business and technical stakeholders; - Fluent written and spoken English.PERKS AND BENEFITS- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.- Exciting projects: Modern solutions with Fortune 500 and top product companies.- Flextime: Flexible schedule with remote and office options.Meet Our Recruitment ProcessEach step helps us understand your skills and overall fit.If it's a match, you'll receive an offer.#J-18808-Ljbffr

DesideDatum Data Company, empresa de consultoría estratégica y tecnológica en el ámbito de la gestión de datos, busca un Consultor para incorporarlo a su equipo.¡En estos momentos, ampliamos el equipo de Gobierno del dato!¿Cuál será tu misión?Participarás en proyectos de análisis, definición e implantación de modelos de gobierno del dato, acompañando a organizaciones en su transformación data-driven.Funciones principales- Definir e implantar modelos de Gobierno del Dato- Participar en proyectos de estrategia y diagnóstico de datos- Crear catálogos de datos, diccionarios y glosarios- Definir e implementar reglas de calidad del dato- Implantar soluciones y herramientas de gobierno del dato- Participar en la definición de políticas y procesos de data governance- Construir data marketplaces y marcos de explotación del dato- Formación superior (preferiblemente en perfil técnico)- +3-4 años de experiencia en proyectos de datos- Al menos 1-2 años en gobierno del dato- Conocimiento en frameworks como DAMA- Experiencia con herramientas de gobierno del dato (ej. OpenMetadata, Informatica, Purview, etc.)- Conocimientos de analítica y entorno Microsoft (Power BI)- Catalán y/o Euskera valorable (al menos en uno de los perfiles)Valorable- Experiencia en sector público- Conocimiento de plataformas de datos (Databricks, Fabric, Snowflake)- Conocimientos en bases de datos- Salario según habilidades y experiencia- Incorporación con contrato indefinido a una empresa en crecimiento en las oficinas de Barcelona y/o Bilbao- Plan de carrera profesional y posibilidad de formación- Jornada flexible- Trabajo híbrido con 2 días de presencialidad a la semana. (- Buen ambiente de trabajo, posibilidad de crecer y aportar al proyecto#J-18808-Ljbffr

AgileEngine is seeking a data stewardship professional to validate and manage product data across core systems, ensuring accuracy for launches. You will upload data to the PIM, resolve gaps with stakeholders, and support teams with data usage issues.The role requires 3+ years in data management, strong Excel skills, and experience with PIM tools such as InRiver, Salsify, Informatica or Akeneo, plus excellent English communication. Flexible, hybrid work options available.#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