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# GCP Data Engineer - 12 Month Contract - Hybrid in London

- **Company:** Contractwe
- **Location:** London, UK
- **Salary:** £104,000.0 - £106,600.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, BigQuery, Cloud Storage, Code Review, Continuous Integration, Data Security, Database Queries, Data Flow Control, Identity and Access Management, Python (Programming Language), Performance Tuning, Cloudera, Data Streaming, Unstructured Data, Data Processing, Google Cloud, Git, Data Lakes, Pyspark, Google Cloud Functions, Data Analytics, Real Time Data, Data Management, Terraform
- **Published:** September 19, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/gcp-data-engineer-12-month-contract-hybrid-in-london/47655509

## About the Role

workflows using Cloud Composer (Apache Airflow) Ensure data quality, integrity, lineage, and governance across data platforms Implement partitioning, clustering, and performance tuning strategies in BigQuery Manage structured, semi-structured, and unstructured data processing requirements Implement IAM policies, data security controls, and compliance requirements Participate in technical design discussions, code reviews, and solution governance meetingsWhat You Will Ideally Bring: Strong experience with Google Cloud Platform (GCP), BigQuery, Dataproc, Cloud Composer (Airflow), Pub/Sub, Dataflow, and Cloud Storage Proficiency in Python and PySpark, with strong SQL skills Experience with Terraform, Git, and CI/CD Strong analytical and problem-solving skills Excellent communication and stakeholder management capabilities Ability to work in global and multi-vendor environments Experience delivering solutions for data modernisation and cloud migration initiatives

## Description

Job DescriptionGCP Data Engineer - 12 Month Contract - Hybrid in London - Inside IR35Working Model: Hybrid - 2-3 days per week in the office Contract Duration: 12 months Rate: £400/410 per day Role Type: ContractWe are seeking an experienced GCP Data Engineer to join a leading UK banking and financial services organisation on a 12-month hybrid contract based in London (2-3 days on-site). The successful candidate will design, build, and optimise scalable cloud-native data platforms on Google Cloud Platform, developing batch and Real Time data pipelines and implementing data lake and data warehouse solutions to enable data-driven analytics and AI/ML initiatives, working closely with architects, data scientists, business analysts, and application teams.Key Responsibilities: Build batch and streaming data ingestion frameworks using Dataflow, Dataproc, Pub/Sub, and Cloud Functions Develop reusable and optimised data processing solutions using PySpark and Python Implement orchestration


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