GCP Data Engineer

GCP Data Engineer £500 - £550 per day inside IR35

6-month contract

Hybrid working in London

We're working with a global healthcare and AI research organisation at the forefront of applying data engineering and machine learning to accelerate scientific discovery. Their work supports large-scale, domain-specific datasets that power research into life-changing treatments.

They're now looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows.

Key Responsibilities

Design and build cloud-native data pipelines using Python on GCP

Manage large-scale object storage for unstructured data within BigQuery

Build and optimise data integrations with BigQuery and SQL databases

Ensure efficient memory usage and performance when handling large datasetsImplement monitoring, testing, and documentation to ensure production-grade reliability

Participate in agile ceremonies, code reviews, and technical design discussions

Tech Stack & ExperienceMust Have

Strong Python development experience

Hands-on experience with cloud object storage for unstructured data within BigQuery

PyTorch experience, particularly

Dataset management

Data loading pipelines

Running PyTorch workloads in cloud environments We are not looking for years of PyTorch experience - one or two substantial 6-12 month projects is ideal

5+ years cloud experience, ideally working with large numbers of files in cloud buckets

Nice to Have

Experience with additional GCP services, such as

Cloud Run

Cloud SQL

Cloud Scheduler

Exposure to machine learning workflows (not ML engineering)

Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data

Please send your CV