Data Transformation and Usability Specialist, Madrid
Empresa
Santander
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Data Transformation and Usability Specialist
Data Transformation and Usability Specialist
Country: Spain
Chief Data AI Officer - Data Analytics Division is seeking a Data Transformation and Usability Specialist who will reports to Global Head of Data Transformation and Usability
Role Mission
Drive the creation of reusable, business-oriented data assets, supporting the implementation of the Groups single data model and the Data as a Product approach. Ensure that data is structured and readily available to support models, business intelligence, and strategic decision-making across all geographies and business units. Contribute to the maturation of a data-driven culture, accelerating time-to-insight and enabling high-impact analytical outcomes.
Key Responsibilities
- Design the Groups single data model, ensuring scalability, interoperability, and alignment with business needs.
- Define and evolve reference data structures at multiple readiness levels (model-ready, BI-ready, decision-ready), ensuring consistent local implementation under common principles.
- Promote the Data as a Product mindset, contributing to the creation and maintenance of reusable, modular, and value-driven data assets.
- Collaborate with data, business, and platform teams to align functional requirements, data structures, and global platform capabilities.
- Coordinate with Data Management and Governance teams to ensure data traceability, quality, and governance across the full data lifecycle.
- Promote best practices and tools to accelerate the transformation of data into tangible value, including automation, self-service, and data sharing.
- Participate in continuous improvement initiatives, monitoring and adoption of global standards, domain-driven design principles, and data management maturity across the organization..
Profile Requirements
- Over 8 years of professional experience in data engineering, data architecture, data transformation, or data asset management roles.
- Deep understanding of concepts such as Data as a Product, data model design, metadata management, and modern data architecture.
- Practical experience with cloud data platforms (e.g., AWS, Azure, GCP) and technologies such as PySpark or data catalog tools is highly valued.
- Ability to work across technical and business teams, translating functional requirements into structured data solutions.
- Familiarity with data governance frameworks and principles of domain-driven, product-oriented data design and enterprise data lifecycle management.
- University degree in Engineering, Computer Science, Data Science, Mathematics, Physics or related quantitative disciplines.
AWS, Azure, GCP,
Data Transformation and Usability Specialist
Country: Spain
Chief Data AI Officer - Data Analytics Division is seeking a Data Transformation and Usability Specialist who will reports to Global Head of Data Transformation and Usability
Role Mission
Drive the creation of reusable, business-oriented data assets, supporting the implementation of the Groups single data model and the Data as a Product approach. Ensure that data is structured and readily available to support models, business intelligence, and strategic decision-making across all geographies and business units. Contribute to the maturation of a data-driven culture, accelerating time-to-insight and enabling high-impact analytical outcomes.
Key Responsibilities
- Design the Groups single data model, ensuring scalability, interoperability, and alignment with business needs.
- Define and evolve reference data structures at multiple readiness levels (model-ready, BI-ready, decision-ready), ensuring consistent local implementation under common principles.
- Promote the Data as a Product mindset, contributing to the creation and maintenance of reusable, modular, and value-driven data assets.
- Collaborate with data, business, and platform teams to align functional requirements, data structures, and global platform capabilities.
- Coordinate with Data Management and Governance teams to ensure data traceability, quality, and governance across the full data lifecycle.
- Promote best practices and tools to accelerate the transformation of data into tangible value, including automation, self-service, and data sharing.
- Participate in continuous improvement initiatives, monitoring and adoption of global standards, domain-driven design principles, and data management maturity across the organization..
Profile Requirements
- Over 8 years of professional experience in data engineering, data architecture, data transformation, or data asset management roles.
- Deep understanding of concepts such as Data as a Product, data model design, metadata management, and modern data architecture.
- Practical experience with cloud data platforms (e.g., AWS, Azure, GCP) and technologies such as PySpark or data catalog tools is highly valued.
- Ability to work across technical and business teams, translating functional requirements into structured data solutions.
- Familiarity with data governance frameworks and principles of domain-driven, product-oriented data design and enterprise data lifecycle management.
- University degree in Engineering, Computer Science, Data Science, Mathematics, Physics or related quantitative disciplines.
AWS, Azure, GCP,