GCP Data Engineer

Job Description GCP Data Engineer700 - 750 per day inside IR35 6-month contractHybrid working in LondonWe'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 RoleYou'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows.You'll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems.Key ResponsibilitiesDesign and build cloud-native data pipelines using Python on GCPManage large-scale object storage for unstructured data (Google Cloud Storage preferred)Support PyTorch-based workflows, particularly around data loading and dataset management in the cloudBuild and optimise data integrations with BigQuery and SQL databasesEnsure efficient memory usage and performance when handling large datasetsCollaborate with ML engineers to support training and experimentation pipelines (without owning model development)Implement monitoring, testing, and documentation to ensure production-grade reliabilityParticipate in agile ceremonies, code reviews, and technical design discussionsTech Stack & ExperienceMust HaveStrong Python development experienceHands-on experience with cloud object storage for unstructured data (Google Cloud Storage preferred; AWS S3 also acceptable)PyTorch experience, particularly:Dataset managementData loading pipelinesRunning PyTorch workloads in cloud environments We are not looking for years of PyTorch experience - one or two substantial 6-12 month projects is ideal5+ years cloud experience, ideally working with large numbers of files in cloud bucketsNice to HaveExperience with additional GCP services, such as:Cloud RunCloud SQLCloud SchedulerExposure to machine learning workflows (not ML engineering)Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific dataPlease send your CV

Created: 2025-12-14