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teamtailor

Lead Data Engineer

Dexters
GBR
Lead
Onsite
£85,000–£95,000
Discovered 4 days ago

Full Job Posting

Key responsibilities:

  • 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.
  • What we are looking for:
  • 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.

Qualifications

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

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