Senior Data Engineer, Clinical Imaging Pipelines

Qureight Ltd; 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 scheme

Contributory pension

Equity

28 days holiday + 3 company days

Job summary

Qureight Ltd in London and Cambridge is hiring a Senior Data Engineer to design and implement trial-specific data pipelines, integrating DICOM imaging with clinical data. You will partner with Clinical Operations, Infrastructure, Data Science, and Data Management to scale data processing across multiple trials.

You will automate validation, ensure data quality by design, and contribute to framework decisions. Join a collaborative team delivering accurate biomarker data for trials.

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

Data pipelines

Regulated environments

Data quality checks

Collaboration

DICOM imaging

Tools

Dagster

AWS

Kubernetes

Flux

Job description

Qureight Ltd in London and Cambridge is hiring a Senior Data Engineer to design and implement trial-specific data pipelines, integrating DICOM imaging with clinical data. You will partner with Clinical Operations, Infrastructure, Data Science, and Data Management to scale data processing across multiple trials.

You will automate validation, ensure data quality by design, and contribute to framework decisions. Join a collaborative team delivering accurate biomarker data for trials.