Senior Data Engineer

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Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure.

This year, Relation has embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s drug discovery expertise, we are pursuing pioneering science and delivering impactful therapies to patients. We are scaling our technology and discovery teams in London, with state-of-the-art wet and dry laboratories that foster interdisciplinary collaboration.

Relation is an equal opportunities employer committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. We welcome individuals from all backgrounds and encourage everyone to do their best work.

By joining Relation, you’ll be part of an exceptionally talented team and contribute to advancing the future of drug discovery. Your work will help shape our culture, influence our strategic direction, and, most importantly, make a lasting difference for patients.

Relation is offering an exceptional opportunity for senior-level candidates (priority), while also hiring across multiple experience levels.

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• 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.
  

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• A Bachelor’s or Master’s degree in engineering, computer science, or a related discipline.
  
• 4–5 years of experience in Data Engineering (DE), Data Science (DS), or similar roles.
  
• Proficiency in Python and SQL, with libraries such as Pandas, Polars, Dask, PySpark, and NumPy.
  
• Experience with containerisation (e.g., Docker) and familiarity with Linux environments.
  
• Knowledge of data modelling for relational databases, object storage, and non-relational databases.
  
• Understanding of data governance, including access control and licensing.
  
• Experience with data visualization tools such as Plotly, Seaborn, or D3.js (desirable).
  
• Experience with orchestration frameworks such as Airflow or Prefect.
  
• Exposure to cloud environments; AWS experience is a strong advantage.
  
• Familiarity with distributed computing frameworks such as Spark, Databricks, or Kubernetes (desirable).
  
  
• Experience working with biological datasets or in biotech/healthcare data environments (bonus).
  
• Familiarity with data cataloguing tools (bonus).
  

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• Curious and eager to learn about new data types or scientific use cases.
  
• Collaborative team player with effective communication across diverse backgrounds (Data Science, ML, Governance, Scientists).
  
• Passionate about science and making a meaningful impact for patients.
  
• Self-motivated and driven to succeed; user-focused, considering downstream use by humans and machines.
  
• Comfortable working independently and taking initiative; compliance-aware with secure, traceable, and auditable data workflows.
  

Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. The patient is waiting!

Relation Therapeutics is a committed equal opportunities employer.

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• Mid-Senior level
  

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• Full-time
  

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• Information Technology
  

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