Lead Data Engineer

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London / £100000 - £120000 annum

INFO

Salary
SALARY:

£100000 - £120000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

Lead Data Engineer

Salary: £120,000

Location: Remote

This is a standout opportunity to lead high‑impact engineering work at the heart of a company transforming its industry with bold, modern technology.

The Opportunity

This opportunity offers the chance to join a fast‑growing, product‑driven tech business that is reinventing its industry with a modern, intuitive platform experience. You'll be part of a company that thrives on innovation, pushing the boundaries of design and engineering to create cutting‑edge digital products. As they continue scaling, the organisation provides a unique environment where your ideas directly shape technical strategy and long‑term product evolution.

You'll work alongside talented engineers and leaders who value excellence, collaboration, and continuous improvement. The business also offers a people‑focused culture with strong flexibility, meaningful benefits, and a clear commitment to professional growth.

Role and Responsibilities

This role leads the technical strategy for the data function, owning the design, scalability, and long‑term evolution of the data platform built on technologies such as Python, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, Glue, ECS, Docker, and Omni. You'll work end‑to‑end across the data lifecycle, from ingestion and modelling through orchestration, monitoring, and analytics enablement, ensuring low‑latency and high‑quality data delivery.

The role involves designing and maintaining robust pipelines and data architectures that support analytics, BI, and broader engineering needs across the business. You'll drive engineering excellence by embedding best practices in testing, automation, observability, monitoring, version control, and code quality. Alongside hands‑on technical leadership, you'll mentor engineers, lead code reviews, manage technical debt, and collaborate closely with senior stakeholders to ensure data initiatives align with strategic priorities.

Interview Process
  1. Technical Test - 2 SQL Challenges
  2. Technical Conversation with Head of Data
  3. Culture Fit and Communication Assessment

If this role is something that sounds exciting for you, please apply now!


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