Senior Data Engineer

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

About us

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.

We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.

The Data Engineering team prepares the clinical data that our biomarker measurements are built on. We work with medical imaging and tabular clinical data, automating the cleaning, organisation and validation of this data, so that it can be used to quantify precision biomarkers for clinical trial endpoints. We support many sponsors and studies at the same time, so the work is varied. Our team members are involved in a wide range of active clinical trials, covering different therapeutic areas, imaging types and study designs.

About the role

As Qureight expands, we’re running image analytics for an increasing number of clinical trials in multiple disease areas. We’ve developed data pipeline frameworks for processing the data we receive from each trial and for handling data needs that are specific to each trial. We now want to further automate this process and scale to take on even more trials.

The Senior Data Engineer will implement trial‑specific data pipelines, working with DICOM imaging. You will work closely with our Clinical Operations team, observing the details of each trial whilst exploring how we can improve our systems and processes within the clinical trial regulatory framework. The focus will always be to ensure efficient, accurate data pipelines that minimise errors and keep data quality embedded by design.

If you are interested in the interface between data infrastructure, software engineering, and medical applications – particularly in clinical trials – then this role is for you.

What you will do

• 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

What we need

• 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

Even better ifyou have…

• Experience deploying in Kubernetes, particularly using GitOps tools such as Flux
• Experience of data versioning and reproducibility frameworks
• Experience working in regulated or GxP or ISO 13485 environments, or with clinical trial data

What can you expect from us

• A comprehensive benefits package that includesan annual bonus plan, private medical insurance, life insurance, cycle-to-work scheme, and acontributory pension scheme
• Equity, so that our team can share in the long‑term success of Qureight
• 28 days’ holiday allowance, 25 days’ annual leave and 3 additional company days between Christmas and New Year, plus bank holidays and enhanced familyleave
• A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations.

If you have any queries, please contact [e-mail].

Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.

If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.