Data Engineer

£60,000 — £70,000

London - Hybrid - No Sponsorship - UK Citizen only, sorry

We're a fast-growing, award-winning consumer technology company on an exciting mission, and we're looking for a Data Engineer to join our data team. You'll play a key role in designing, building, and maintaining the pipelines, models, and platforms that power insight and decision-making across the business.

About Us

We're a scaling consumer tech business with a globally recognised product.

We've been recognised by some of the most respected names in business and innovation, including, the Financial Times, Bloomberg, TIME Magazine, and the Sunday Times Tech 100.

Our data team sits at the heart of everything we do. We tackle a broad range of problems, from cutting-edge data solutions to pipeline infrastructure and orchestration platforms, supporting key strategic projects across the company.

What You'll Be Doing

• Building robust and scalable data extraction pipelines, pulling data from diverse internal and external sources into our existing infrastructure
• Creating, maintaining, and optimising data models using dbt, transforming raw data into enriched, usable datasets for self-service reporting and analytics
• Working with Dagster as our orchestration platform to manage pipeline dependencies, scheduling, and monitoring
• Partnering with data scientists and analysts to ensure datasets are meaningful, intuitive, and fit for purpose
• Championing data governance and high-quality data practices across the business
• Contributing to data platform infrastructure management and optimisation

What You'll Bring

• Proven experience in a data engineering or analytics engineering role, with a track record of sustained impact
• Experience with modern orchestration tools, Dagster preferred, though Airflow or similar is also welcome
• Strong SQL and Python skills, with hands-on experience writing custom data assets and contributing to dbt pipelines
• Solid understanding of git workflows and version control best practices
• Experience working cross-functionally and building strong relationships with stakeholders of varying data literacy
• Comfort with ambiguity and a genuine enthusiasm for shaping how data influences decision-making

Interested - Apply now and lets talk