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Lead Data Engineer

ExperisSouth East London, London🇬🇧United KingdomPosted 6 Aug 2026

Why This Role Stands Out

This hybrid Lead Data Engineer role offers a fantastic opportunity to drive enterprise-scale data modernization within a leading organization, with a competitive day rate and the chance to shape best practices in cloud data platforms. You'll thrive here if you're a mid-senior engineer eager to provide technical leadership, mentor others, and gain extensive experience in GCP, Terraform, and CI/CD. Apply now to contribute to a significant cloud transformation and elevate your career!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
South East London, London, United Kingdom
Posted
5 weeks ago
GCPSQLETLBigQueryGitLab CIGoogle CloudPythonTerraform

Job Description

Lead Data Engineer

Key Points

  • Location: London Or Reading, Hybrid
  • Duration: 12 months
  • Rate: Competitive Day Rate, Outside IR35

Overview

This is an opportunity to join a leading organisation undertaking a major cloud transformation and data modernisation programme, delivering enterprise-scale data solutions across a complex technology landscape.

As a Lead Data Engineer, you will provide technical leadership across the design, development, automation, and optimisation of cloud-based data platforms, ensuring secure, scalable, and high-performing solutions are delivered to support business and operational objectives.

Working closely with architects, stakeholders, analysts, and engineering teams, you will drive best practice across data engineering, infrastructure automation, CI/CD, and cloud technologies while mentoring and leading other engineers within the delivery team.

Key Responsibilities

  • Lead the design and delivery of enterprise-scale data engineering solutions within Google Cloud Platform (GCP).
  • Develop and maintain scalable ETL/ELT pipelines, data models, and integration frameworks.
  • Design and manage Infrastructure as Code (IaC) solutions using Terraform.
  • Build and support automated deployment processes through GitLab CI/CD pipelines.
  • Design, optimise, and maintain BigQuery datasets, schemas, and analytical workloads.
  • Develop and manage Cloud Storage, Cloud SQL, and Cloud Composer solutions.
  • Develop Python-based ETL applications, automation tools, and data services.
  • Implement real-time data integration and Change Data Capture (CDC) solutions using Striim.
  • Develop and support ETL workflows and reusable components using Ab Initio.
  • Ensure data quality, governance, security, and compliance standards are maintained.
  • Monitor platform performance, reliability, and operational efficiency across cloud environments.
  • Lead code reviews, mentor engineers, and establish engineering best practices.
  • Collaborate with cross-functional teams to deliver secure, reliable, and scalable data solutions.
  • Support architecture design, technical planning, estimation, and continuous improvement initiatives.

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.


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