Data Management Specialist
Pereda P02, Spain
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Santander
Our purpose is to help people and businesses prosper. We strive to make all we do Simple, Personal and Fair.We are seeking a Data Management Specialist.
Role Mission
Provide operational support for the execution of the Group’s global data management framework, contributing to the application of corporate standards and policies, and ensuring proper documentation, traceability, and quality of critical data. Actively participate in the construction and maintenance of key assets such as the data catalog, corporate glossary, and quality metrics.
Key Responsibilities
- Support the local and central implementation of the global data management framework, in coordination with data-responsible units and governance teams.
- Collaborate in the documentation of data assets in the corporate catalog, including technical metadata, business definitions, quality rules, and data lineage.
- Perform operational controls and monitoring of data quality indicators (KPIs and KRIs), identifying potential deviations and proposing corrective actions.
- Support Data Owners and Data Stewards in the day-to-day management of critical data, facilitating its proper use in business and analytical processes.
- Participate in continuous improvement initiatives related to data management processes, including automation, standardization, and the dissemination of best practices.
- Contribute to the update and evolution of roles, governance models, and supporting tools.
Profile Requirements
- 2 to 4 years of professional experience in roles related to data management, data quality, cataloging, or information governance.
- Knowledge of data governance models, metadata cataloging, data lineage, and quality management.
- Ability to work with corporate data management tools (data catalog, data lineage, quality monitoring).
- Basic to intermediate knowledge of SQL, data models, and relational structures.
- Ability to work in collaborative and multinational teams, communicating effectively with both technical and functional stakeholders.
- University degree in Engineering, Computer Science, Library and Information Science, Information Management, or related disciplines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data governance Data management Data quality Engineering KPIs SQL
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