Lead Data Engineer (Databricks) at Tenth Revolution Group
London, New South Wales, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 26

Salary

0.0

Posted On

21 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services;Software Development & Publishing

Description

Full job description

Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000

Databricks - Apache Spark - Delta Lake - Python - SQL - Azure

We're partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities. This is a senior, hands-on leadership role where you'll own the architecture and development of a modern Databricks environment, drive engineering best practice, and mentor a team of Data Engineers while shaping the future of the organisation's data strategy.

The Role

As Lead Data Engineer, you'll be responsible for:

  • Leading the design, development and optimisation of a Databricks-based data platform.
  • Designing enterprise-scale Lakehouse architectures across cloud platforms.
  • Defining data modelling, governance, security and quality standards.
  • Leading and mentoring a team of Data Engineers.
  • Collaborating with Data Scientists, Analysts and Product teams to support analytics, machine learning and AI initiatives.
  • Driving platform performance, scalability and cloud cost optimisation.

What's On Offer?

  • Salary up to £110,000.
  • Hybrid working model.
  • Technical ownership of a modern Databricks platform.
  • Opportunity to influence architecture, tooling and engineering standards.
  • Leadership responsibilities with a growing engineering team.
  • Exposure to AI, machine learning and large-scale data initiatives.

Key Experience Required

  • Proven experience as a Senior or Lead Data Engineer.
  • Deep expertise in Databricks, Spark, Delta Lake, Python and SQL.
  • Experience designing and scaling cloud-based data platforms.
  • Strong knowledge of ETL/ELT, data modelling and distributed processing.
  • Experience with Azure, AWS or GCP environments.
  • Previous team leadership or mentoring experience.
  • Strong stakeholder management and communication skills.

Apply Now

This is a rare opportunity to join a business at a pivotal stage of growth and take ownership of a critical data platform with genuine influence over its future direction.

Apply today or send your CV directly for immediate consideration.

Responsibilities
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