Analytics Engineer

About Zego

Insurance hasn't changed much in over a century. The way we live, work and travel has.

Good drivers are the entire point of Zego. Seven in 10 drivers on the road are consistently good, but until telematics came along there was no way to prove it, so nearly everyone paid a price based on averages. Zego is the company built to change that.

At Zego, we're leading the AI evolution in insurance.

We move fast, without the layers that usually slow things down. AI takes the routine work off every team, from Finance to Product to Marketing, so people ship real code and launch custom dashboards in minutes. Engineering commits are entirely AI-assisted, which shifts the focus from team size to the quality of your thinking and our data warehouse connects directly to an AI assistant for instant answers. Backed by a modern tech stack (Claude Code, Snowflake, Figma and Zapier) and a commitment to adopting new tools in days rather than quarters, you get complete ownership to do the most impactful work of your career.

What you will be doing

Translate business needs into clear, well scoped requirements, so every model you build answers a question someone is actually asking

Build and maintain robust data models and exposures in dbt, Snowflake and Looker - using AI-assisted development to spend less time on boilerplate and more on specifying intent, reviewing and refining

Review and debug SQL critically, including AI-generated code, so we ship only models we can trust and document the decisions and trade-offs behind them

Extend the trust infrastructure of tests, data contracts and observability that keeps our models and pipelines reliable and stable

Integrate data from third-party sources such as Amplitude, Segment and Google Ads and create secure, efficient data shares for external partners

Enable self-service in our BI tools, so business users answer their own questions instead of queuing for the data team

Improve our data platform, tooling and ways of working, including how the team puts AI to work

What you will need to be successful

Analytics engineering experience - Around 1 to 3 years as an Analytics Engineer or in a similar role

Solid SQL - You are comfortable reading, writing, debugging and critically reviewing queries, including AI-generated ones

Modern data platforms - Familiarity with tools such as Snowflake, dbt, Looker, AWS or GCP, version control with Git and ideally some Python for data or analytics engineering tasks

A meticulous eye for detail - Strong problem-solving instincts and a healthy habit of asking whether a number is actually right, not just whether the query ran

Commercial curiosity - An interest in the why behind the numbers and the ability to connect data work to business outcomes

You work AI-first - You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable

What’s it like to work at Zego?

At Zego, we operate like a high-performing sports team. We come together as one, driven by ambition, backed by real support and united by a shared mission to win.

Working here means having the backing, the coaching and an inclusive community of Zegons across the UK and Europe, who celebrate your wins and raise your game. It also means holding ourselves to high standards: moving with urgency, taking complete ownership and embracing honest feedback that helps us continuously learn and evolve!

This is your opportunity for a career-defining experience and one you will own.

Do not take our word for it - Read what Zegons say about us on Glassdoor.

The Zego ways of working

Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our central London office weekly, others monthly or quarterly. It is about finding the balance between face time and focus that produces great w