Senior Data Engineer — AI-Driven Medical Imaging

Experis Austria; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Experis Austria is seeking a Senior Data Engineer for a 12-month contract in London. The role focuses on building and scaling data pipelines for medical imaging data (DICOM) and integrating with tabular data on Google Cloud Platform.

You will design secure data transfer, manage large datasets, and collaborate with ML/engineering teams to deploy production-grade Python solutions. This contractor role requires strong Python, SQL, and ETL capabilities, plus hands-on experience with imaging data and

Qualifications

• Strong Python for data engineering, including data transformation, job monitoring and schema management.

Responsibilities

• Build, operate and then automate the pipelines behind our medical imaging data and combine that imaging data with other data modalities including tabular data.
• Design data storage, transfer and transformation utilities that move and harmonise multi-terabyte image datasets on Google Cloud Platform (GCP) with standardised onboarding processes.
• Handle derived imaging artefacts and link segmentations/annotations back to their source series for analysis-ready datasets.
• Automate the path for curating and harmonising imaging datasets with metadata validation and de-identification checks.
• Write production-grade Python: tested, reviewed, instrumented and documented for long-term use.
• Work with ML/Software engineers to shape datasets around model needs.
• Apply ML/AI techniques to ingestion, including anomaly detection and agent-driven data workflow triage.

Skills

Python

SQL

ETL/ELT pipelines

CI/CD

Cloud data pipelines

DICOM data handling

Big data storage

GCP

Education

PhD in computational discipline

MSc in computational discipline + 2 years imaging data

2 years hands-on imaging data experience

Tools

pydicom

SimpleITK

dcm2niix

DCMTK

Terraform

Docker

Google Cloud Run/GKE

Job description

Experis Austria is seeking a Senior Data Engineer for a 12-month contract in London. The role focuses on building and scaling data pipelines for medical imaging data (DICOM) and integrating with tabular data on Google Cloud Platform.

You will design secure data transfer, manage large datasets, and collaborate with ML/engineering teams to deploy production-grade Python solutions. This contractor role requires strong Python, SQL, and ETL capabilities, plus hands-on experience with imaging data and