> Markdown version of [/jobs/ext/3594286-data-engineering-manager](https://www.wearedevelopers.com/jobs/ext/3594286-data-engineering-manager). 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). --- # Data Engineering Manager - **Company:** Harnham - **Location:** London, UK - **Salary:** £80,000.0 - £90,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Continuous Delivery, Information Engineering, Data Governance, Data Warehousing, DevOps, Python (Programming Language), DataOps, Snowflake, Database Optimization, Containerization, Data Management, Video Streaming, Stream Processing, Data Pipelines, Legacy Systems - **Published:** October 6, 2026 - **Apply:** https://www.reed.co.uk/jobs/data-engineering-manager/57426196 ## About the Role * Strong experience leading Data Engineering functions or teams * Advanced SQL expertise and database optimisation knowledge * Hands-on experience with AWS technologies including S3, Glue, Lambda, and EC2 * Strong understanding of data warehousing and data modelling principles * Experience with Snowflake and modern cloud data platforms * Python development skills * Experience with workflow orchestration tools such as Airflow * Knowledge of streaming technologies and real-time data processing * Experience implementing CI/CD and engineering best practices ## Description * Lead the design, development, and deployment of scalable data pipelines * Manage and develop a team of Data Engineers * Drive cloud adoption and modern engineering practices * Oversee data operations, reliability, and platform performance * Work closely with Analytics, Architecture, and Technology teams * Establish engineering standards, governance, and delivery processes * Prioritise workloads and support successful project delivery * Contribute to a major migration from legacy systems to a cloud-native environment * Ensure compliance with data governance requirements