Senior Data Engineer (Medical Imaging)

Project overview

Senior Data Engineer (Medical Imaging)

Contract: 12 Months (Initial)

Project details

London | Hybrid Working (2 Days Onsite)

Senior Data Engineer | AI, Medical Imaging & Cloud Data Platforms

We're seeking an experienced Senior Data Engineer to join a cutting-edge data and AI programme focused on building scalable data solutions within a complex medical imaging environment. This is an opportunity to work on innovative projects at the intersection of data engineering, cloud computing, machine learning, and healthcare research.

The successful candidate will have a proven track record of delivering production-grade data products, designing robust cloud-based pipelines, and working with large, complex datasets. You'll collaborate closely with data scientists, ML engineers, and domain experts to create analysis-ready datasets that power advanced AI and machine learning initiatives.

Key Responsibilities

Essential Skills & Experience

Desirable Experience

Key Technologies

Python | GCP | BigQuery | SQL | DICOM | Medical Imaging | ETL/ELT | Cloud Storage | Parquet | AI & Machine Learning

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

• Design, build, and automate scalable data pipelines supporting large medical imaging datasets and associated clinical data.
• Develop data ingestion, storage, transformation, and quality control processes within a cloud environment.
• Harmonise imaging, clinical, and biomarker datasets to create analysis-ready data products.
• Build automated validation, metadata management, and data quality frameworks.
• Develop production-grade Python solutions with strong testing, monitoring, and documentation standards.
• Partner with Data Scientists and Machine Learning Engineers to optimise datasets for AI and analytics use cases.
• Apply automation and AI-driven techniques to improve data onboarding, anomaly detection, and operational efficiency.
• Python development experience within a data engineering environment.
• Extensive experience designing and operating ETL/ELT pipelines at scale.
• SQL expertise including schema design and optimisation.
• Experience working with cloud-based object storage platforms such as Google Cloud Storage, Amazon S3, or Azure Data Lake Storage.
• Experience using orchestration frameworks and modern data engineering practices.
• CI/CD, Agile, and DevOps experience.
• Ability to work autonomously and manage ambiguous requirements effectively.
• Experience working with imaging datasets or a strong academic background in a computational discipline.
• Medical imaging experience including DICOM, annotations, metadata management, and de-identification processes.
• Google Cloud Platform expertise, including BigQuery, Cloud Run, GKE, and Cloud SQL.
• Experience with modern data formats such as Parquet, Arrow, and Zarr.
• Infrastructure as Code using Terraform and Docker.
• Experience working within regulated environments involving sensitive healthcare or clinical data.
• Experience leveraging AI coding assistants and agent-driven workflows.
• Start: ASAP
• Duration: 6 Months
• Location: London, UK, GB
• Rate: 88-94 EUR/h