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# Lead Data Engineer

- **Company:** Sanderson Recruitment Plc
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Metadata, Cloud Services, Standard Sql, SQL Databases, Enterprise Data Management, Data Ingestion, Snowflake, Git, Infrastructure Automation Frameworks, Data Management, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://www.reed.co.uk/jobs/lead-data-engineer/57523558

## About the Role

* Proven experience as a Senior or Lead Data Engineer within complex enterprise environments.
 * Strong hands-on knowledge of Snowflake platform engineering and optimisation.
 * Extensive experience building dbt projects from the ground up.
 * Strong SQL and data warehousing expertise.
 * Experience designing CDC, ELT and metadata-driven ingestion frameworks.
 * Solid understanding of CI/CD, Git and infrastructure as code practices.
 * Python development experience for data engineering and automation.
 * Experience leading engineering teams or technical workstreams.
 * Financial Services or Banking experience is highly desirable., * Amazon Web Services (AWS)
 * Cloud Services & Infrastructure
 * Communication Skills
 * Data Pipeline Development
 * Data Warehousing
 * ETL
 * Microsoft Azure
 * Python Programming
 * SQL Databases
 * Stakeholder Management

## Description

We're working with a major financial services organisation undergoing a large-scale data transformation programme. They are looking for a hands-on Lead Data Engineer to help build and scale an enterprise data platform, working closely with senior architects and engineering teams to deliver modern data capabilities across a complex environment., * Lead the design and build of scalable data engineering solutions using Snowflake and dbt.

 * Develop data ingestion frameworks supporting batch, incremental and CDC patterns.
 * Build and optimise data pipelines across multiple source systems and platforms.
 * Design and implement data models for analytics, reporting and operational use cases.
 * Own CI/CD, automation and engineering best practice within the data platform.
 * Implement data governance, quality controls, monitoring and operational processes.
 * Mentor engineers and provide technical leadership across the delivery team.
 * Partner with architects and stakeholders to translate designs into production-ready solutions.