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Genomics England

Provides NHS genomic testing and research.

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK£75.5k

About the Job

Requirements

  • Proven hands-on experience designing, building and optimizing data pipelines and large-scale processing systems, including ETL and ELT.
  • Strong practical experience with AWS and cloud-based data engineering, including relevant storage, compute and orchestration technologies.
  • Strong coding skills using Python, alongside experience with testing, CI/CD and infrastructure as code.
  • Experience developing data models and delivering reliable data products, with a good understanding of data engineering patterns and practices.
  • A sound understanding of data quality, data lineage, metadata management and data governance.
  • Experience working with sensitive data in regulated environments, with a good understanding of security, performance, scalability and compliance considerations.
  • Experience working with genomic, bioinformatics, clinical or other complex healthcare datasets.
  • Familiarity with data orchestration, visualization, data management and secure data transfer tools.
  • The ability to work collaboratively across technical and non-technical teams, communicate complex concepts clearly and contribute to effective engineering practices.

Responsibilities

  • Design, build and optimize scalable data pipelines and processing systems, from data acquisition and transformation through to delivery.
  • Work with large volumes of clinical and genomic data, supporting data lineage, metadata capture, de-identification and integration with reference data.
  • Build and improve data solutions in AWS, applying cloud-first engineering practices and making effective use of storage, compute and orchestration technologies.
  • Work with tools such as Python, RDBMS, Prefect, Tableau, Semarchy, Aspera and Globus across data orchestration, visualization, data management and secure data transfer.
  • Develop and optimize data models, storage solutions and data products for performance, scalability, security, cost and reliable data delivery.
  • Improve data quality, testing, automation and observability, helping ensure pipelines and services are reliable, maintainable and fit for purpose.
  • Work closely with engineering, QA, architecture, product and other specialist teams to deliver well-integrated data services.
  • Support machine learning and data visualization capabilities by enabling trusted, well-structured data.
  • Share knowledge, promote good engineering practices and help strengthen data engineering capability across the chapter and wider organization.

Desired Qualifications

  • Knowledge of healthcare data models, standards and terminology, such as FHIR, HL7, OMOP or SNOMED CT.
  • Familiarity with NHS and wider healthcare data ecosystems, including clinical, primary care or other health datasets.
  • Understanding of healthcare data linkage, pseudonymization, information governance and data quality challenges across clinical and research environments.
  • Experience working with Trusted Research Environments or other secure, privacy-preserving data platforms.
  • Experience enabling the secondary use of health data for research, analytics or other scientific use cases.
  • Experience supporting machine learning or data visualization through the development of reliable data pipelines and products.

About the Company

Genomics England

Provides NHS genomic testing and research.

Genomics England partners with the NHS to bring genomic healthcare into routine care and provide data and technology for researchers. It runs a national program that collects and analyzes genetic data with advanced technology to compare genomes, helping doctors diagnose, treat, and prevent illness and enabling researchers to develop better therapies. It combines a government-backed national effort with NHS clinical care to build a large, unique genomic dataset and turn discoveries into real-world tests and tools. Its goal is to make genomic healthcare available to everyone who needs it, while accelerating research for faster, more precise treatments.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$277.2M
Headquarters
London, United Kingdom
Founded
2013

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