Data Engineer; Medical Imaging
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-10-13
Listing for:
Harnham
Full Time
position Listed on 2026-10-13
Job specializations:
-
Software Development
Data Engineering, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Python
Job Description & How to Apply Below
This is an opportunity to work on a high-impact data engineering project at the intersection of AI, machine learning, and large-scale data platforms. You will help build and enhance critical data products that support advanced analytics and scientific innovation, using modern cloud technologies and engineering best practices.
The CompanyThey are a global organisation investing heavily in data, AI, and machine learning to drive innovation across complex scientific and business challenges. Their teams combine strong engineering practices with cutting-edge technology to deliver scalable, data-driven solutions. You will join a collaborative environment where data engineering plays a central role in enabling future-facing AI initiatives.
The Role and Deliverables- Build, operate, and automate scalable data pipelines handling large and complex datasets.
- Design data storage, transfer, and transformation processes within a cloud-based environment.
- Develop automated ingestion, validation, harmonisation, and quality control workflows.
- Deliver analysis-ready datasets for machine learning, analytics, and wider technical teams.
- Write production-grade Python code that is tested, documented, and maintainable.
- Collaborate with software engineers, machine learning engineers, and domain specialists to solve complex data challenges.
- Strong experience using Python for data engineering and data transformation.
- Strong SQL skills, including data modelling and schema design.
- Experience building and maintaining ETL or ELT pipelines using orchestration frameworks.
- Experience working with large-scale datasets stored in cloud platforms such as GCP, AWS, or Azure.
- Experience with CI/CD, Dev Ops practices, and modern software development methodologies.
- Ability to work independently, manage ambiguity, and make sound technical decisions.
- Experience with Big Query, Google Cloud, medical imaging data, DICOM, or AI-enabled development workflows would be advantageous.
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