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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Science - **Company:** Qureight Ltd - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Cloud Computing, Computer Programming, Data Cleansing, Information Engineering, Data Infrastructure, Database Design, DevOps, Dicom, Python (Programming Language), Machine Learning, Meta-Data Management, Management of Software Versions, Workflow Management Systems, Data Lineage, Machine Learning Operations, Data Pipelines, GXP, Docker - **Published:** May 21, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=e3d280f08f41f4ff ## About the Role Do you have experience in Quality control?, * Proven experience as a Data Engineer in complex, data-rich environments * Strong programming skills in Python * Experience building and maintaining production ML data pipelines, including orchestration tools such as Dagster and cloud infrastructure on AWS * Experience with Docker and Kubernetes based infrastructure Experience working with large datasets * Understanding of data preprocessing and quality control for machine learning * Strong collaboration skills with machine learning or technical teams Even better if you have experience of... * Medical imaging data such as CT, MRI, or DICOM * Large-scale datasets or foundation model workflows * Deployment tooling (Helm and familiarity with Gitops tooling such as Flux and Kustomize) * Data versioning and reproducibility frameworks * Database design and data modelling * Working in regulated or GxP or ISO 13485 environments * Experience with ML experiment tracking or metadata management (MLFlow) ## Description As Qureight scales its AI-driven imaging platform and advances development of foundation models and disease-specific AI models, we are building the data engineering capability required to support large-scale data preparation for machine learning., We are looking for a Data Engineer to focus on preparing and managing large imaging datasets (including CT scans and DICOM metadata) for use in machine learning workflows. This role sits within the Science function and works closely with Machine Learning Scientists as well as other Data Engineers to ensure that data is delivered in a consistent, high-quality, and efficient format ready for model development. It will focus on designing and implementing the next iteration of our data infrastructure to accelerate our integration of machine learning into clinical trials. You can read more about one of our Senior Software Engineers here. What you will do * Collaborate on designing and implementing new data infrastructure and pipelines preparing data for large-scale ML workflows * Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable * Work with DICOM data to feed into foundation model and disease-specific imaging model development * Collaborate closely with Machine Learning Scientists, DevOps Engineers, and other Data Engineers to create a tight feedback loop and ensure the end-to-end process is effective and efficient * Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless * Scale pipelines to handle millions of scans - ingesting the imaging data, transforming it, filtering and structuring ready for foundation model development. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [ZEISS & Microsoft - Building the Next Generation Medical Ecosystem in the Cloud](https://www.wearedevelopers.com/videos/424-zeiss-microsoft-building-the-next-generation-medical-ecosystem-in-the-cloud) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)