> Markdown version of [/jobs/ext/3862620-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/3862620-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:** The Source - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Code Review, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Warehousing, Python (Programming Language), SQL Databases, Data Streaming, Snowflake, Cloudformation, Containerization, Kubernetes, Information Technology, Apache Kafka, Terraform, Docker, Amazon Redshift, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/lead-data-engineer/52847248 ## About the Role practices.Collaborate with analytics, software and platform teams to deliver reusable data products and APIs.Mentor engineers, conduct code reviews, and contribute to hiring and capability development.Required Skills & Experience Significant experience in data engineering, including leading teams or major technical SQL and strong programming skills in Python and/or Scala.Cloud data engineering experience (AWS, Azure or GCP), including object storage, compute and managed data services.Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines.Experience with streaming and event-driven data (e.g., Kafka, Kinesis, Pub/Sub) is highly desirable.Proficiency with infrastructure as code (e.g., Terraform, CloudFormation) and containerisation (Docker; Kubernetes beneficial).Strong understanding of data quality frameworks, testing (unit/integration), and observability.Excellent stakeholder management and communication skills, able to translate requirements into technical solutions.Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics or a related discipline (or equivalent experience).Relevant cloud or data certifications are advantageous.What You'll Bring A pragmatic, delivery-focused mindset with a commitment to high standards.Ability to lead by example, coach others and build effective engineering practices.Curiosity, accountability and a continuous improvement approach.