Senior Data Engineer - Clinical Imaging Pipelines

Qureight Ltd; Town of Cambridge; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

28 days’ holiday allowance

Equity

Private medical insurance

Life insurance

Cycle-to-work scheme

Contributory pension scheme

Job summary

Qureight Ltd is expanding its Data Engineering team as we run image analytics for more clinical trials. You will design, build and maintain trial-specific data pipelines that integrate DICOM imaging with clinical metadata, ensuring accuracy and traceability.

Working with Clinical Operations, Infrastructure and Data Science, you will push for scalable, compliant data processing within regulatory frameworks, review code, and mentor junior engineers while delivering reliable data for biomarker

Qualifications

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

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 support trial needs.
• Handle diverse datasets and transfer methods, integrating DICOM imaging with clinical metadata.
• Build robust, scalable pipelines with quality and compliance built in from the start.
• Own data delivery for projects and support regulatory compliance automation.
• Contribute to pipeline framework decisions and mentor less experienced engineers.

Skills

Python

Data engineering

Regulated environments

Data validation

Collaboration

Medical imaging data

Education

Bachelor's degree in Computer Science or related field

Tools

Dagster

AWS

Kubernetes

GitOps (Flux)

DICOM imaging

Job description

Qureight Ltd is expanding its Data Engineering team as we run image analytics for more clinical trials. You will design, build and maintain trial-specific data pipelines that integrate DICOM imaging with clinical metadata, ensuring accuracy and traceability.

Working with Clinical Operations, Infrastructure and Data Science, you will push for scalable, compliant data processing within regulatory frameworks, review code, and mentor junior engineers while delivering reliable data for biomarker