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Lead Data Engineer

Description

As a Lead Data Engineer, you will act as the technical authority within the data engineering team, responsible for defining how data solutions are designed and built across the organisation.

You will own the day-to-day technical direction of the data platform, ensuring that pipelines, data models, and warehouse structures are scalable, maintainable, and aligned to best practice.

Working closely with the Data Engineering Manager and the Head of Data Engineering & Governance, you will translate strategic direction into practical engineering approaches, while mentoring engineers and driving high technical standards across the team.

This is a senior individual contributor role with significant influence, operating as a peer to the Data Engineering Manager, with a focus on technical leadership rather than people management.


Requirements

  • Extensive experience in data engineering and data warehouse development

  • Strong track record of designing and implementing scalable data pipelines

  • Deep expertise in SQL and modern ELT tools (e.g. dbt or equivalent)

  • Experience working with cloud data platforms (AWS preferred: Redshift, S3, Athena, etc.)

  • Experience optimising data models for performance, scalability, and cost

  • Proven experience leading technical design and code quality across a team

  • Experience implementing CI/CD and version-controlled workflows

  • Familiarity with data quality, lineage, and monitoring practices

  • Experience working closely with analytics, reporting, or data science teams

  • Strong experience with Linux and or Unix command line including Bash/Shell scripting

  • Experience with data pipeline orchestration and scheduling

  • Knowledge of data governance, lineage, and quality monitoring practices.

  • Knowledge and experience of Airflow, Fivetran and Google Big Query


Academic Qualifications:

  • BSc Computer Science (or equivalent)


Technical Qualifications:

  • Strong SQL skills

  • Talend Data Integration (or similar ETL platform)

  • dbt Integration (or similar ETL platform)

  • Linux and or Unix command line familiarity including shell scripting

  • Certification in AWS data systems (or similar cloud platform) desirable

  • Tableau Desktop/Server (or similar reporting system)



See also

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