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

Genomics England; London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading genomic data organization in London is seeking a skilled Data Engineer to develop and optimize data pipelines. The ideal candidate will have experience with AWS and various data tools, while also ensuring data quality in sensitive environments. This role offers a salary starting at £73,000 and includes a variety of generous benefits.

Benefits

Generous leave

Flexible working

Pension benefits

Health & wellbeing programs

Learning budgets

Qualifications

• Experience building data pipelines and large-scale processing systems (ETL/ELT).
• Hands-on experience with AWS and cloud-first data engineering.
• Strong coding skills (Python preferred), experience with CI/CD.

Responsibilities

• Design, build, and optimise data pipelines and processing systems.
• Utilise tools like Tableau, Semarchy, and Aspera for data orchestration.
• Collaborate with product, QA, architecture, and engineering teams.

Skills

Data pipeline construction

AWS cloud engineering

Data visualization tools

Python coding

Data governance understanding

Tools

Tableau

Aspera

Semarchy

Prefect

Globus

Job description

Data Engineer (London)

Client: Genomics England

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 0d05de2913f5

Job Views: 19

Posted: 12.08.2025

Expiry Date: 26.09.2025

Job Description

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

At Genomics England, we handle complex clinical and genomic data to help researchers, clinicians, and scientists improve patient outcomes.

We seek a proven Data Engineer experienced in moving and transforming large volumes of sensitive healthcare and genomic data, building scalable infrastructure, and enabling trustworthy data products. This role offers a chance to modernise and optimise genomic data processing and delivery with real-world impact.

Responsibilities:

• Design, build, and optimise data pipelines and processing systems
• Work with clinical and genomic data at scale, from acquisition to transformation, lineage, metadata, and de-identification
• Utilise tools like Tableau, Semarchy, Prefect, Aspera, and Globus for orchestration, visualization, and secure data transfer
• Support teams with data models and infrastructure
• Build in AWS, following best practices for storage, compute, and orchestration
• Ensure data quality, observability, testing, and automation standards
• Collaborate with product, QA, architecture, and engineering teams
• Contribute to machine learning and visualization capabilities
• Enhance data engineering capabilities organization-wide

Qualifications:

• Experience building data pipelines and large-scale processing systems (ETL/ELT)
• Hands-on experience with AWS and cloud-first data engineering
• Knowledge of tools like Tableau, Aspera, Semarchy, Prefect, Globus
• Strong coding skills (Python preferred), experience with CI/CD and infrastructure-as-code
• Skills in data visualization and statistical analysis
• Understanding of data governance, modeling, and regulated environments
• Awareness of security, performance, and compliance in sensitive data systems

Preferred:

• Experience with genomic or bioinformatics data
• Knowledge of ML pipelines and deploying ML models
• Background in life sciences, healthcare, or public sector tech
• Familiarity with healthcare data standards (OMOP, FHIR, SNOMED, ICD-10)

Additional Information

Salary from £73,000. Closing date: Monday 18th August at 23:00 (UK time).

We offer benefits including generous leave, flexible working, pension, health & wellbeing programs, learning budgets, and recognition schemes.

Genomics England is committed to diversity and inclusion, promoting an equitable workplace. We support flexible, blended working arrangements and are inclusive in our recruitment process.

All candidates will undergo background checks, including a DBS check, and must disclose any previous offenses.