Senior Data Engineer - DICOM Imaging Pipelines

Qureight Ltd; Cambridge; On-site; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Annual bonus plan

Private medical insurance

Cycle-to-work scheme

Contributory pension scheme

Equity

Job summary

Qureight Ltd in Cambridge is expanding its Data Engineering team to design, build and maintain trial-specific data pipelines that process DICOM imaging and clinical metadata. You will collaborate with Clinical Operations, Infrastructure and Data Science to automate data workflows within regulatory boundaries and deliver reproducible, compliant results.

The Senior Data Engineer will drive scalable pipelines, validate data quality, and contribute to pipeline framework decisions while mentoring

Qualifications

• Proven experience as a Data Engineer in complex, data-rich environments.
• Strong Python skills gained in a commercial setting.
• Experience building and maintaining production data pipelines within regulated environments.
• Experience implementing data validation and quality checks in production pipelines.
• Experience with automation/orchestration tools, such as Dagster and cloud infrastructure on AWS.
• Strong collaboration skills and attention to detail, with the curiosity to understand where data comes from and how it will be used.
• Experience working with medical imaging data such as CT, MRI in DICOM format.

Responsibilities

• Design, build, test, deploy and maintain trial-specific data pipelines that meet study protocol requirements.
• Work with Clinical Operations, Infrastructure, Data Science and Data Management teams to build the tooling each trial needs.
• Handle a wide range of datasets and transfer methods, integrating DICOM imaging (mainly CT) with clinical metadata.
• Build pipelines that are robust, scalable and maintainable, with quality and compliance designed from the start so that reproducibility, lineage tracking and data validation are straightforward.
• Own data delivery for your projects and help shape how we automate regulatory compliance.
• Contribute to technical decisions on our pipeline framework, review colleagues' code and support less experienced engineers.

Skills

Python

DICOM imaging

Data pipelines

Regulated environments

AWS

Dagster

Kubernetes

GitOps

Tools

Git

Kubernetes

Job description

Qureight Ltd in Cambridge is expanding its Data Engineering team to design, build and maintain trial-specific data pipelines that process DICOM imaging and clinical metadata. You will collaborate with Clinical Operations, Infrastructure and Data Science to automate data workflows within regulatory boundaries and deliver reproducible, compliant results.

The Senior Data Engineer will drive scalable pipelines, validate data quality, and contribute to pipeline framework decisions while mentoring