> Markdown version of [/jobs/ext/3059072-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/3059072-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Experis - **Location:** London, UK - **Experience:** Expert - **Salary:** £60,000.0 - £90,000.0 - **Contract:** Temporary contract - **Skills:** Airflow, BigQuery, Cloud Computing, Cloud Database, Cloud Storage, Code Review, Continuous Integration, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Standard Sql, Google Cloud, Cloud Platform System, Ab Initio, Change Data Capture, Infrastructure as Code (IaC), Gitlab, Gitlab-ci, Infrastructure Automation Frameworks, Deployment Automation, Integration Frameworks, Real Time Data, Terraform, Data Pipelines - **Published:** September 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5896691699 ## About the Role * Experience leading the design and delivery of enterprise-scale data engineering solutions within Google Cloud Platform (GCP) * Strong experience developing and maintaining scalable ETL/ELT pipelines, data models, and integration frameworks * Hands-on experience with Infrastructure as Code (IaC), particularly Terraform * Experience building and supporting automated deployment processes using GitLab CI/CD pipelines * Strong experience designing, optimising, and maintaining BigQuery datasets, schemas, and analytical workloads * Experience with Cloud Storage, Cloud SQL, and Cloud Composer * Proficiency in Python for ETL applications, automation tools, and data services * Experience implementing real-time data integration and Change Data Capture (CDC) solutions using Striim * Experience developing and supporting ETL workflows and reusable components using Ab Initio * Strong understanding of data quality, governance, security, and compliance standards * Experience mentoring engineers, leading code reviews, and establishing engineering best practices * Experience collaborating with cross-functional teams on secure, reliable, and scalable data solutions ## Description * 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 Technologies: * Ab Initio * BigQuery * CI/CD * Cloud * Composer * ETL * GCP * GitLab * Support * Python * SQL * Security * Terraform, We are offering a 12-month contract for a Lead Data Engineer role based in London or Reading on a hybrid working arrangement, with a competitive day rate outside IR35. You will join a leading organisation delivering a major cloud transformation and data modernisation programme, building enterprise-scale data solutions across a complex technology landscape. Working closely with architects, stakeholders, analysts, and engineering teams, you will help drive best practice across data engineering, infrastructure automation, CI/CD, and cloud technologies while mentoring and leading other engineers within the delivery team. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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