Lead GCP Data Engineer

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

A leading London-based organisation is seeking an experienced Lead GCP Data Engineer for a high-impact, 6-month contract. You will lead the development, scaling, and productionisation of data platforms utilizing a cutting-edge Modern Data Stack (MDS). This role requires a strong technical leader who can drive engineering best practices while remaining hands-on with delivery.

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.

If interested in this Lead GCP Data Engineer contract please apply with latest Word CV,

Applicants must live commutable to London and have RTW

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