Scientific Data Engineer - Product Safety
On-siteBracknell, England, United Kingdom
Job Summary
Architect and maintain scalable ETL/ELT pipelines that transform scientific datasets into analysis-ready formats aligned with FAIR data principles. Lead Databricks integration within Product Safety, driving best practices across Delta Lake, Unity Catalog, and data governance. Deliver strategic data product prototypes and partner with the Safety and Regulatory Data Domain Lead to transition these into production-grade products. Bridge scientific subject matter experts and technical teams, clarifying requirements and ensuring data products are both business-relevant and technically sound. Contribute to data literacy initiatives within Product Safety, developing training and mentoring capabilities. Report to the Digital Portfolio Lead in Product Safety and collaborate closely with the Head of Digital Strategy and the Safety and Regulatory Data Domain lead.
Required Qualifications
- Proven data engineering experience with Databricks (Delta Lake, Unity Catalog, Apache Spark) in cloud-based data platforms and environments (AWS)
- Strong programming skills in Python and SQL
- experience in software version control and deployment automation (Git and CI/CD workflows)
- Solid data modelling knowledge, both relational and dimensional, for structured and semi-structured data
- Experience working with complex datasets and the ability to quickly grasp new domains
- A consultative, people-facing approach - you listen, explain, and bring people along in a change process
- An ability to communicate technical concepts clearly to non-technical stakeholders, with an interest in developing coaching and training capabilities over time
Desired Qualifications
- Experience with life science data (e.g., toxicology, ecotoxicology, chemical data structures)
- Experience delivering data for machine learning model development on external platforms
- Understanding of data architecture principles and approaches, such as data lakehouse, data mesh and data products
- Familiarity with data quality frameworks and management tools (e.g. GX, Soda)
- A willingness to challenge the status quo - identifying inefficiencies, advocating for better solutions, and championing adoption of new data products
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.