Analytics Engineer

Analytics Engineer Function: Data Location: Hybrid, London or Peterborough office

Curious about what’s next?

So are we.

Join Compare the Market and help to make financial decision making a breeze for millions.

At Compare the Market, we’re a purpose-driven business powered by tech and AI.

We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace.

Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.

We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment.

If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in.

We’d love you to be part of our journey:

We’re looking for an Analytics Engineer who wants to grow their individual contributor career by solving complex data problems and contributing to the foundations of a modern, self-serve analytics platform.

This role is ideal for someone who enjoys working collaboratively, building reusable and scalable data models, and making data more accessible across the business.

You will also take on cross-domain technical ownership and contribute to technical strategy and standards across the organisation.

Some of the great things you’ll do:

• Develop and maintain scalable DBT models, transformation pipelines, and analytics workflows.
• Build and support BI reporting and dashboards using modern visualisation tools.
• Partner with analysts, product teams, and engineers to understand business requirements and translate them into robust data solutions.
• Contribute to the design and optimisation of analytics-ready data models with a focus on usability, performance, and maintainability.
• Implement and maintain data quality checks, testing, and documentation to improve trust in analytics outputs.
• Support operational excellence across the analytics stack through automation, monitoring, and continuous improvement.
• Participate in code reviews, knowledge sharing, and team-wide engineering practices.