Senior Data Engineer - Genomic Data Pipelines (AWS)

Senior Data Engineer - Genomic Data Pipelines (AWS)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Genomics England

At a Glance

  • Tasks: Design and optimise data pipelines for clinical and genomic data in AWS.
  • Company: Genomics England, a mission-driven team focused on genomic medicine.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and research.
  • Why this job: Join a team making a real impact in genomic medicine and data infrastructure.
  • Qualifications: Experience in data engineering and knowledge of AWS required.

The predicted salary is between 60000 - 80000 Β£ per year.

Genomics England is seeking an experienced Data Engineer to design and optimise data pipelines across clinical and genomic data at scale, in a cloud-first AWS environment. You will own data models, ensure data quality and compliance, and enable secure data transfer using industry tools.

Join a mission-driven team delivering genomic medicine initiatives, working with cross-functional colleagues to modernise data infrastructure and empower researchers, clinicians and scientists with trustworthy data.

Senior Data Engineer - Genomic Data Pipelines (AWS) employer: Genomics England

Genomics England is an exceptional employer, offering a dynamic and inclusive work environment in the heart of Cambridge, Leeds, or London. With generous leave policies, flexible working arrangements, and a strong commitment to employee development, we empower our Genomic Data Scientists to thrive both personally and professionally while contributing to groundbreaking cancer research. Our focus on diversity and well-being ensures that every team member feels valued and supported in their journey.

Genomics England

Contact Details:

Genomics England Recruitment Team

We think you need these skills to ace Senior Data Engineer - Genomic Data Pipelines (AWS)

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration