Senior Analytics Engineer (L4)

Senior 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.

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 a Senior 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. 

• Leading delivery across multiple complex data and analytics workstreams, helping shape strategy and roadmap direction in partnership with Staff Analytics Engineers and engineering leadership.
• Designing, building, and maintaining scalable analytics solutions using SQL, DBT, Python, and modern data platform technologies, ensuring reliability, performance, and long-term maintainability.
• Acting as a technical expert within the team, driving best practices across data modelling, testing, CI/CD, documentation, code review, and operational excellence.
• Partnering with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products, executive-facing reporting, and commercial insights that drive better business decisions.
• Owning complex data incidents from identification through to root cause analysis, resolution, and prevention, while reducing delivery and operational risk across the wider function.
• Mentoring and developing engineers, delegating effectively, unblocking teams, and helping create an environment where engineers can grow and deliver independently.

• Advanced SQL expertise and strong hands-on experience with DBT, with recognised expertise in one or more analytics engineering domains.
• Strong Python or scripting experience, with the ability to build automation, frameworks, and scalable data solutions.
• Proven experience delivering complex analytics, reporting, and BI solutions from discovery through to adoption.
• Strong understanding of data modelling, testing, performance optimisation, data quality, and reliability engineering practices.
•  Experience leading multiple workstreams simultaneously and operating across a broader function rather than supporting a single team.
• Strong mentoring and coaching experience, with a track record of raising engineering standards and developing others.
• Experience working with modern engineering practices including Git, CI/CD, automation, and cloud-based data platforms.
• Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences.
• Interest in AI-enabled tooling and modern ways of working, with a pragmatic approach to adopting new technologies responsibly.