GCP Data Engineer - Contract

Location: London

Working Model: Hybrid - 2-3 days per week in the office
Contract Duration: 12 months
Rate: £400 per day
Role Type: Contract

The Role

We are seeking an experienced GCP Data Engineer to design, build and optimise scalable cloud-native data solutions on Google Cloud Platform (GCP).

You will be responsible for developing batch and Real Time data pipelines, implementing data lake and data warehouse solutions, and supporting data-driven analytics and AI/ML initiatives.

The role involves close collaboration with architects, data scientists, business analysts and application teams to deliver secure, reliable and high-quality data solutions.

Key Responsibilities

• Design and build scalable batch and streaming data ingestion pipelines using Dataflow, Dataproc, Pub/Sub and Cloud Functions
• Develop reusable and optimised data processing solutions using Python and PySpark
• Design and manage data warehouse solutions using BigQuery
• Implement workflow orchestration using Cloud Composer/Apache Airflow
• Develop solutions for structured, semi-structured and unstructured data
• Implement BigQuery partitioning, clustering and performance optimisation
• Ensure data quality, integrity, lineage and governance across data platforms
• Implement IAM policies, security controls and compliance requirements
• Develop and maintain cloud infrastructure using Terraform
• Support automated deployments using Git and CI/CD
• Participate in technical design discussions, code reviews and solution governance
• Collaborate with technical and business stakeholders throughout the delivery life cycle

Essential Skills and Experience

Strong hands-on experience with:

• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Dataproc
• Cloud Composer/Apache Airflow
• Pub/Sub
• Google Cloud Storage
• Python
• PySpark
• SQL
• Terraform
• Git
• CI/CD

Desirable Skills and Experience

• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management skills
• Experience working in global or multi-vendor environments
• Experience delivering data modernisation and cloud migration programmes
• Good understanding of data governance, security and cloud architecture best practices