Job Description

Staff Engineer - Analytics Engineering

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 a deeply experienced and collaborative Staff Analytics Engineer to help shape the future of data at Compare the Market. This is a senior individual contributor role that blends technical leadership, cross-domain impact, and strategic influence.


You will work across squads and domains to build scalable analytics infrastructure, champion modern engineering practices, and enable self-serve data at scale. Your work will support key business decisions, accelerate AI adoption, and uplift the capabilities of teams across the organisation.

Some of the great things you'll do:

Lead and deliver large-scale, high-impact data engineering initiatives that span multiple domains and stakeholders. Define and evolve the architecture of shared dbt models, transformation pipelines, and workflows to support analytical, operational, and AI use cases. Partner with Product, Analytics, and Technology teams to align on requirements, ensure business value, and support measurement and reporting. Shape engineering standards and practices across the analytics data stack, including testing, documentation, observability, and CI/CD. Enable centralised, self-serve capabilities by developing reusable data models and well-documented semantic layers. Contribute to platform-level initiatives such as data migrations, model consolidation, and governance improvements. Mentor engineers and analysts across teams, supporting long-term capability building and knowledge sharing. Represent Analytics Engineering in technical forums, helping align strategies across data platform, analytics, and engineering.

What we'd like to see from you:

Deep expertise in SQL and DBT, with a strong track record of building scalable, analytics-ready data models. A system-level mindset with a focus on long-term maintainability, reusability, and performance. Strong collaboration and communication skills, with the ability to engage confidently with both technical and non-technical stakeholders. Experience working with modern data engineering practices including version control, CI/CD, observability, and automation. Useful experience: Databricks, Airflow, Spark, or large-scale data migrations.

Why Compare the Market?

We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.



We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.



If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you.