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# Scientist Data Modeller

- **Company:** Koninklijke DSM N.V.
- **Location:** Delft, Netherlands
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Processing, Data Strategy, Data Management
- **Published:** September 27, 2026
- **Apply:** https://www.werk.nl/nl/vacatures/71508181

## About the Role

ppLocation: Delft, Netherlands or Kaiseraugst, Switzerland /ppWe are seeking a highly skilled and experienced Data Modeller to join our Data Science AI Department, in a team focused on Clinical / Real World Data. In this role, you will develop data models for pre-clinical/clinical/RD environments, embedded in data ecosystems, ensuring data quality and regulatory compliance, and their integration across the diverse dsm-firmenich scientific domains. The ideal candidate has a strong data modelling background, solid understanding of data engineering principles and data management/governance best practices, an affinity for working in multidisciplinary teams, and a passion for data-driven decision-making. This role will be in an international setting, working within a global company, providing the opportunity to collaborate with diverse teams across various regions. /ph3Responsibilities /h3ulliDesign logical and physical enterprise data models that support analytics, reporting, and
operational use cases across clinical, pre-clinical trial domains and other RD scientific environments, as well as their integration in data ecosystems. /liliImplement and maintain data modelling architectures, including hubs, links, satellites, and business vault patterns to enable auditable, historized, and scalable data integration. /liliDevelop and deploy comprehensive data management strategies and data governance frameworks, and ensure compliance with FAIR principles and good data management practices. /liliSupport the implementation of data quality frameworks and establish quality rules to ensure data accuracy and reliability, following data standards in regulated environments. /liliSupport the implementation of data management tools, ETL data pipelines and platforms, to support data processing, governance and qua...



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