GCP Data Engineer
other jobs Harnham - Data & Analytics Recruitment
Added before 22 hours
- England,London,City of London
- Full Time, Contract
- £500 - £550 per day
Job Description:
Full job descriptionGCP 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 RoleYou’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
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 RoleYou’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
Job number 3926023
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Company Details:
Harnham - Data & Analytics Recruitment
Company size: 250–499 employees
Industry: Recruitment Consultancy
Harnham are the global leaders in Data & Analytics recruitment.Harnham provides specialist Data & Analytics recruitment staffing services and talent s...