Lead GCP Data Engineer
Location: London (Central) – 2 days per week onsite
Duration: 6 Months (Initial)
Rate: £600 - £650 per day
IR35 Status: Inside IR35
Key Responsibilities
- Pipeline Engineering: Build and maintain scalable, automated data ingestion pipelines using Apache Airflow.
- Data Transformation: Lead production-grade data transformation, testing, and CI/CD deployment using dbt.
- Data Warehousing: Optimize performance, partitioning, and clustering strategies within Google BigQuery.
- Security & RBAC: Implement and enforce enterprise-wide Role-Based Access Control (RBAC), data governance, and secure IAM policies across the GCP ecosystem.
- Technical Leadership: Guide a team of engineers, conducting code reviews and ensuring robust engineering standards.
Required Skills & Experience
- GCP Engineering: Proven track record as a Lead Data Engineer within Google Cloud environments.
- BigQuery Expertise: Deep knowledge of BigQuery performance tuning, optimization, and cost management.
- Modern Data Stack: Expert-level, hands-on proficiency with dbt (Data Build Tool) for enterprise transformations.
- Orchestration: Extensive experience engineering complex workflows with Apache Airflow (or Cloud Composer).
- Security & Governance: Strong experience configuring GCP IAM permissions and building robust RBAC models.
- Leadership Capabilities: Demonstrated experience leading engineering pods, mentoring junior staff, and driving delivery.
Rate:
£650/day
Location:
London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior