Senior Analytics Engineer London, England, United Kingdom

About the Role

We’re looking for a Senior Analytics Engineer to help lead how we build.

The craft is changing fast: AI tools now handle a lot of the heavy lifting of writing SQL and boilerplate, which means the job is increasingly less about typing code and more about understanding the business problem deeply, specifying what "good" looks like, and taking ownership of whether what we ship is correct and trustworthy.

You’ll own the design of the data models the whole business depends on, set the standards and patterns the rest of the team builds to, and help shape how we put AI to work — not just using AI-assisted workflows, but improving the tooling and practices around them.

You’ll be a technical anchor for the team: raising the bar through review, mentoring, and pairing, and levelling up the engineers around you.

You’ll bring deep technical expertise, a natural curiosity for data, and a strong instinct to question whether a number is actually right — not just whether a query ran.

You’re as comfortable making architectural decisions and driving them to a conclusion as you are engaging stakeholders to understand what they really need.

• What You Will Be Doing
• Data Modelling & Engineering (AI-assisted)
• Partner with stakeholders to understand business needs and translate ambiguous problems into clear, well-scoped requirements.
• Own the design of robust, scalable data models and exposures in dbt, Snowflake, and Looker — and set the patterns and conventions the wider team reuses.
• Make and document the architectural decisions and trade-offs that shape our data platform.
• Use AI-assisted development to move faster — spending less time hand‑writing boilerplate and more time specifying intent, reviewing, and refining — and help define how the team gets the best out of these tools.
• Read, debug, and critically review SQL (including AI-generated code), so we ship models we can trust.
• Wrangle and integrate data from multiple third‑party sources (e. g. Amplitude, Segment, Google Ads).
• Data Quality, Trust & Operations
• Define and champion the "trust infrastructure" — the testing, data‑contract, and observability standards the team works to — that lets the business depend on our models.
• Own quality, reliability, and stability across data models and pipelines.
• Create secure, efficient data shares for external partners (e. g. S3, SFTP, Snowflake Data Sharing).
• Drive the continuous improvement of our data platform, tooling, and ways of working — including how we use AI.
• Stakeholder Enablement & Technical Leadership
• Act as a technical anchor for the team — raising the bar through code review, mentoring, and pairing.
• Support business users across the company to promote a culture of data‑driven decision‑making.
• Translate complex business questions into well‑designed data solutions and metrics.
• Enable and maintain self‑service capabilities within our BI tools.

About You

• You’ll have 5+ years’ experience as an Analytics Engineer, or in a similar role.
• You’ll have expert SQL skills — you write it fluently, debug it fast, and critically review it (including AI-generated code) with a sharp eye for where it goes subtly wrong.
• You’ll have proven experience designing and owning data models for warehousing and BI — dimensional modelling, defining grain, and shaping the structure of a data domain from the ground up.
• You’ll have deep, hands‑on experience with dbt, and with modern data platforms (e. g. Snowflake, Looker, AWS, GCP).
• You’ll have experience with version control tools such as Git, and sound engineering practices around it.
• You’ll ideally have exposure to Python for data or analytics engineering tasks.
• You’ll have a meticulous eye for detail and strong problem‑solving instincts — you care about whether the answer is correct, not just whether the code runs.
• You’ll have a track record of raising the standard around you — mentoring, reviewing, or setting the technical direction others follow.
• You’ll be genuinely excited about AI and how it changes our work — already using AI tools to work smarter, thinking critically about where they help and where they don’t, and taking ownership of staying ahead.

This is central to how our team works, not a nice-to-have.

• You’ll have strong commercial acumen — a real interest in the "why" behind the numbers and the ability to connect data work to business outcomes.
• Experience in the insurance sector is a plus. As more of the routine coding becomes AI-assisted, deep domain understanding becomes more of a differentiator, not less.

Benefits

We reward our people well.

Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits.

We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

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