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# Lead Data Engineer

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £85,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Database, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Operational Databases, Power BI, SQL Databases, Data Ingestion, Sql Optimization, Git, Microsoft Fabric, Pyspark, Git Flow, Data Management, Data Pipelines, Databricks
- **Published:** August 21, 2026
- **Apply:** https://www.reed.co.uk/jobs/lead-data-engineer/57263307

## About the Role

You should have:

 * Previous experience leading or managing Data Engineers
 * Strong consulting or client-facing experience
 * Advanced SQL and Python skills
 * Experience with PySpark
 * Experience with Azure, Microsoft Fabric and Databricks (or strong cloud data engineering experience)
 * CI/CD and Git experience
 * Power BI knowledge
 * Experience building production data pipelines
 * A strong academic background with a degree from a UK university
 * Excellent communication and stakeholder management skills

## Description

As Lead Data Engineer, you'll combine hands-on technical delivery with team leadership in a player-manager role. You'll spend around 60% of your time building robust data solutions and 40% leading a small team of three engineers.

You'll work closely with Data Science, Product and client stakeholders to build scalable data platforms that support AI models, ensuring data is collected, transformed and delivered reliably across multiple client environments. You'll also engage directly with customers to understand their objectives and help shape technical solutions that deliver commercial value., * Leading and mentoring a team of three Data Engineers

 * Designing and building scalable ETL/ELT data pipelines
 * Developing robust SQL and Python-based data engineering solutions
 * Working closely with Data Scientists to productionise AI models
 * Ensuring high-quality data ingestion from multiple source systems
 * Driving engineering best practices, CI/CD and Git-based workflows
 * Building cloud-native solutions using Azure technologies, Databricks and Microsoft Fabric
 * Working directly with enterprise clients to understand business requirements and deliver technical solutions
 * Helping shape the future direction of the Data Engineering function as the business scales


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