
Senior Software Engineer, Data Platform and Marketplace
- Utrecht
- Contract
- Voltijds
- Design and implement data catalog and marketplace solutions combining Databricks, Django, Postgres, and Python.
- Implement UI components that enable users to interact with the platform along a governed data flow.
- Understand different user personas and delivery bespoke data and user experiences that cater to their needs.
- Design and implement an API that offers a similar data experience through a programming interface
- Leverage Unity Catalog as a metastore, Delta Lake, and the medallion architecture to establish scalable and well-governed data solutions.
- Exercise and define best practices, architectural frameworks, and standards for modern cloud-based data platforms and catalogs in a regulated environment.
- Engage with data producers, consumers, stewards, and data engineers to tailor solutions that fit their needs.
- Identify reusable solution patterns that reduce technical debt and maintenance overhead
- Ensure GxP compliance, regulatory adherence, and best practices in data security for all data workflows.
- Bachelor’s degree in Computer Science, Bioinformatics, or a related field is required.
- 5+ years of experience in data engineering, data architecture, or related roles.
- Familiarity and ability to deliver components of a data marketplace in a hands-on format, which includes components of full-stack development.
- Understanding of AI and analytics and how data needs to be leveraged to facilitate model development
- Proficiency in Python, with experience developing scalable data pipelines and cloud-based (Databricks) architectures.
- Strong knowledge of GxP and regulatory compliance in biotech/pharma data platforms.
- Experience designing and implementing data mesh architectures and data marketplaces.
- Proven ability to work with data governance teams to ensure alignment with enterprise metadata management, lineage tracking, and access control.
- Excellent stakeholder management, communication, and influencing skills across technical and non-technical teams.
- Biotech or pharma experience is preferred, with an understanding of how data flows across R&D (e.g., translational research, bioinformatics), CMC (e.g., batch records, stability data), and Commercial (e.g., omnichannel engagement, sales ops) contexts in biotech/pharma.
- Ability to balance hands-on technical work with technical leadership.
- Exposure to modern data lakehouse architectures leveraging Delta Lake, medallion architecture, and Unity Catalog is a plus.