Senior Data Platform Leader — Lakehouse on GCP

Utility Warehouse Limited; Greater London; Hybrid; GBP 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid office arrangement

Private healthcare

Job summary

Utility Warehouse Limited is seeking a senior engineering leader to shape and scale our enterprise data platform on Google Cloud. You will guide and grow three core teams—Data Infrastructure, Data Engineering, and DataSecOps—treating the platform as a true internal product with clear SLAs and user focus.

In the hands-on role, you’ll contribute to architecture, coding, and incident resolution while migrating our data estate to an Enterprise Lakehouse on GCP.

Qualifications

• Proven Engineering Leadership: significant track record leading data or software engineering functions.
• Hands-on coding: production-level SQL, Python, and Terraform.
• Modern Cloud Data Stack: deep expertise in BigQuery, Cloud Composer/Airflow, and Pub/Sub/Dataflow/Kafka.
• Platform & DevOps: Terraform, Kubernetes, Docker, CI/CD, observability.
• Data Architecture: strong background in Kimball, Data Vault and lakehouse patterns.
• Security & FinOps: data privacy controls (UK GDPR) and cloud cost optimisation.

Responsibilities

• Build and run UW’s enterprise data platform, turning core architecture into a reliable, secure, and AI-ready platform.
• Drive the Data Capabilities programme: migrate data estate to an Enterprise Lakehouse on GCP.
• Lead a multi-team organization including managers, and plan capacity across staff and partners.
• Set SLOs/SLAs for critical data and run CI/CD, data contracts and observability.
• Turn UK GDPR and sector rules into automated controls and keep the platform audit-ready.
• Own platform budget and optimise BigQuery and storage costs; support AI enablement.

Skills

Engineering leadership

SQL

Python

Terraform

BigQuery

Cloud data stack

Kubernetes

Security & FinOps

Tools

BigQuery

Cloud Composer/Airflow

Pub/Sub

Dataflow

Kafka

Job description

Utility Warehouse Limited is seeking a senior engineering leader to shape and scale our enterprise data platform on Google Cloud. You will guide and grow three core teams—Data Infrastructure, Data Engineering, and DataSecOps—treating the platform as a true internal product with clear SLAs and user focus.

In the hands-on role, you’ll contribute to architecture, coding, and incident resolution while migrating our data estate to an Enterprise Lakehouse on GCP.