Data Engineer

Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. We're rapidly scaling our technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio companies.

Requirements

• Build, maintain, and monitor pipelines to transfer lab data into appropriate self-hosted and cloud environments, ensuring clear visibility for stakeholders.
• Ingest and integrate bioinformatics and multi-modal data from diverse external sources.
• Develop and support reusable ETL workflows to standardise data formats, enrich metadata, and implement versioning and lineage logic.
• Enhance FAIR compliance by collaborating with Data Science, Machine Learning, and Wet Lab teams to adopt best practices in data management.
• Work with users and stakeholders to integrate data assets into the internal data catalogue and further develop this solution.
• Connect lab, external, analytical, and ML data assets into a unified ecosystem.
• Automate data quality checks and validation layers during ingestion and transformation to ensure accuracy and reliability.
• Enable downstream data exploration tools and visualisation dashboards to promote accessibility and usability for non-technical users.
• Support data governance by implementing best practices in access control, data lifecycle management, and compliance (e.g., licensing, privacy).
• Develop and refine scalable, fit-for-purpose data models and workflows.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Health Insurance
• Dental Insurance
• Vision Insurance
• Paid Holidays
• Flexible Working Hours