Lead Data Engineer - Build & Scale Data Platform (London)

Datatech Analytics

Greater London

On-site

GBP 54,000 - 90,000

Full time

14 hours ago
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Job summary

Datatech Analytics in London is seeking a Lead Data Engineer to build and lead the data engineering function. You will shape the team, set standards and create foundations for growth.

Ownership of critical pipelines and data products will be yours, with direct influence on engineering practices and delivery outcomes. You will mentor engineers, drive recruitment, and ensure robust data architectures, tooling and deployment automation.

Qualifications

  • Experience building a Data Engineering function or improving an existing team's practices.
  • Proven line-management experience and a track record of developing engineers.
  • Strong hands-on SQL and Python skills.
  • Solid experience in data modelling, cloud infrastructure and deployment automation.
  • Judgement to balance delivery demands with maintainability and quality.
  • Experience integrating AI outputs into production data pipelines.

Responsibilities

  • Build and lead the Data Engineering function, setting standards and practices.
  • Mentor engineers, lead recruitment and line management.
  • Develop SQL-led transformation pipelines and Python orchestration.
  • Establish CI/CD, code review, testing and Git workflows.
  • Drive data modelling, deployment controls and production reliability.
  • Integrate AI outputs into production data pipelines with validation.

Skills

Data engineering leadership
Line management
SQL skills
Python skills
Data modelling
Cloud infrastructure
CI/CD workflows
AI integration

Tools

Git workflows

Job description

Datatech Analytics in London is seeking a Lead Data Engineer to build and lead the data engineering function. You will shape the team, set standards and create foundations for growth.

Ownership of critical pipelines and data products will be yours, with direct influence on engineering practices and delivery outcomes. You will mentor engineers, drive recruitment, and ensure robust data architectures, tooling and deployment automation.

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