Data Engineer; office locations

Data Engineer (we have office locations in Cambridge, Leeds and London)

• Full-time
• Department:
  Data
• Office:
  London

Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future.

Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations.

We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.

Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems.

We’re on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime - from birth to old age.

Are you a skilled and proven Data Engineer who’s confident and experienced working at scale, across complex data ecosystems? Keen to take ownership of meaningful pipelines, models and tooling in a unique and impactful environment?

At Genomics England, we deal with some of the most complex clinical and genomic data on the planet, and your work will help researchers, clinicians and scientists use that data to improve patient outcomes.

We’re hiring an established Data Engineer who has a proven track record of moving and transforming large volumes of sensitive healthcare and genomic data, building scalable infrastructure, and enabling high-quality, trustworthy data products.

This is an exciting chance to genuinely help modernise and optimise how genomic data is processed and delivered, with real‑world impact.

Note, this opportunity is aimed at experienced, hands‑on Data Engineers, not analytics, reporting or data analysis professionals.

• Designing, building and optimising data pipelines and processing systems
• Working with clinical and genomic data at scale, from acquisition through to transformation, lineage, metadata capture and de‑identification
• Confidently using tools like Tableau, Semarchy, Prefect, Aspera and Globus for orchestration, visualisation and secure data transfer
• Supporting teams with robust, well‑documented data models and infrastructure
• Building in AWS (cloud‑first), and using best practices across storage, compute and orchestration
• Enabling standards in data quality, observability, testing and automation
• Collaborating with product, QA, architecture and engineering teams to build cleanly integrated data services
• Contributing to the development of machine learning and visualisation capabilities
• Helping raise data engineering capability across the chapter and wider organisation

• Strong experience building data pipelines and large‑scale processing systems (ETL/ELT)
• Solid hands‑on experience with AWS and cloud‑first data engineering
• Background in life sciences, healthcare or public sector tech delivery
• Familiarity with healthcare data standards (e.g. OMOP, FHIR, SNOMED, ICD‑10)
• Excellent knowledge of tools like Tableau, Aspera, Semarchy, Prefect and/or Globus
• Strong coding skills (Python preferred), plus experience with CI/CD and infrastructure‑as‑code
• Proven skills in data visualisation and statistical analysis, with the ability to communicate insights clearly and effectively
• A good understanding of data governance, data modelling and working in regulated environments
• Solid grasp of security, performance and compliance considerations in sensitive data systems

• Experience working with genomic or…