Senior Data Engineer – Imaging Pipelines + Equity

Qureight; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Cycle-to-work

Contributory pension

Equity

28 days holiday

Job summary

Qureight is expanding its Data Engineering team to automate trial‑specific data pipelines, handling DICOM imaging with clinical metadata to support multiple concurrent trials. As Senior Data Engineer you will design, build and maintain scalable pipelines, collaborate with Clinical Operations, Infrastructure and Data Science, and ensure data quality and regulatory compliance.

You should have strong Python, experience with production pipelines in regulated environments, and familiarity with

Qualifications

• Proven experience as a Data Engineer in data‑rich environments.
• Strong Python skills in a commercial setting.
• Experience building/maintaining production data pipelines in regulated environments.
• Experience with data validation and quality checks in production pipelines.
• Experience with automation/orchestration tools such as Dagster and cloud infra on AWS.
• Strong collaboration skills and attention to data provenance and usage.
• 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 trial tooling.
• Handle diverse datasets and transfer methods, integrating DICOM imaging with clinical metadata.
• Build robust, scalable pipelines with built‑in quality and regulatory compliance.

Skills

Data Engineer

Python

Data pipelines

Data validation

Dagster

AWS

Collaboration

Medical imaging (DICOM)

Tools

Dagster

AWS

Kubernetes

Flux

Job description

Qureight is expanding its Data Engineering team to automate trial‑specific data pipelines, handling DICOM imaging with clinical metadata to support multiple concurrent trials. As Senior Data Engineer you will design, build and maintain scalable pipelines, collaborate with Clinical Operations, Infrastructure and Data Science, and ensure data quality and regulatory compliance.

You should have strong Python, experience with production pipelines in regulated environments, and familiarity with