Senior Data Engineer - Clinical Imaging Pipelines

Qureight Ltd; Cambridge; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Cycle-to-work scheme

Contributory pension

Equity

Job summary

Qureight Ltd in Cambridge is seeking a Senior Data Engineer to design and scale data pipelines for clinical trials, integrating DICOM imaging with clinical metadata. You will partner with Clinical Operations and Data teams to ensure quality, compliance, and efficiency across multiple studies.

The role emphasizes automation, reproducibility, and robust data processing in regulated environments, with opportunities to contribute to pipeline frameworks and mentor engineers within a dynamic team.

Qualifications

• Experience as a Data Engineer in complex, data-rich environments.
• Strong Python skills in a commercial setting.
• Experience building and maintaining production data pipelines within regulated environments.
• Experience implementing data validation and quality checks in production pipelines.
• Familiarity with automation/orchestration tools and cloud infrastructure on AWS.
• Experience working with medical imaging data (CT/MRI) in DICOM format.

Responsibilities

• Design, build, test, deploy and maintain trial-specific data pipelines that meet study protocol requirements.
• Collaborate with Clinical Operations, Infrastructure, Data Science and Data Management teams to build required tooling.
• Handle diverse datasets and transfer methods, integrating DICOM imaging with clinical metadata.
• Create robust, scalable pipelines with built-in quality controls and reproducibility.
• Own data delivery for projects and contribute to regulatory compliance automation.
• Review code and mentor less experienced engineers; shape framework decisions.

Skills

Python programming

Data pipeline design

Regulatory awareness

Team collaboration

Tools

Dagster

AWS

Kubernetes

Job description

Qureight Ltd in Cambridge is seeking a Senior Data Engineer to design and scale data pipelines for clinical trials, integrating DICOM imaging with clinical metadata. You will partner with Clinical Operations and Data teams to ensure quality, compliance, and efficiency across multiple studies.

The role emphasizes automation, reproducibility, and robust data processing in regulated environments, with opportunities to contribute to pipeline frameworks and mentor engineers within a dynamic team.