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# Lead Data Engineer

- **Company:** Dexters
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £85,000 - £95,000
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Software Quality, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Operational Databases, Power BI, Standard Sql, Azure Data Factory, Snowflake, Data Delivery, Data Pipelines
- **Published:** October 21, 2026
- **Apply:** https://www.totaljobs.com/job/lead-data-engineer/dexters-job108221084

## About the Role

* Significant experience designing and delivering production data platforms.
 * Expert SQL skills and strong practical experience with Python.
 * Strong experience with Snowflake and dbt or comparable modern data technologies.
 * Strong understanding of ETL/ELT, data integration and dimensional modelling.
 * Demonstrable experience with automated testing, CI/CD and data quality controls.
 * Experience reviewing technical designs and improving the work of other engineers.
 * A track record of taking ownership and delivering at pace without compromising quality.
 * Clear communication and the confidence to challenge constructively.
 * Experience leading and mentoring engineers while remaining technically hands-on.

Experience with Azure Data Factory, Airbyte and Power BI would be advantageous.

## Description

* Provide hands-on technical leadership across Data Engineering.
 * Own engineering standards across architecture, code quality, testing, CI/CD, observability and documentation.
 * Design, build and optimise scalable data pipelines, transformations and data models using Snowflake, dbt and associated integration technologies.
 * Act as the senior technical authority for data engineering design decisions.
 * Take ownership of complex data engineering problems through to resolution.
 * Improve automated data quality, reconciliation and platform observability.
 * Reduce key-person dependencies through better engineering patterns, automation, documentation and knowledge sharing.
 * Mentor Data Engineers and develop technical capability across the team.
 * Work with Data Delivery and senior stakeholders to translate requirements into well-designed technical solutions.
 * Provide realistic estimates, identify risks early and communicate clearly on delivery.
 * Drive continuous improvement in engineering practices and team effectiveness.