Analytics Engineer
Zego · London, United Kingdom · 10d ago
About Zego 🚀
At Zego, we're on a mission to do the good thing, not the insurance thing.
Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.
We're not just updating insurance; We're leading the AI evolution in insurance 🤖
For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook.
We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers.
Do not take our word for it. Read what Zegons say about us on Glassdoor.
If you're ready to build the future of insurance, we're hiring.
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
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 office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it.
We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year.
Here is what the last one looked like.
Benefits 🎁
💰 Market-competitive salary, benchmarked against your function and reviewed every year.
🏆 Annual performance bonus, linked to company performance and your contribution.
📈 Share options, a real stake in the company and a share in the future you build
🩺 Private medical insurance.
🏖️ Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.
💻 Cutting-edge systems and tools, so you always have what you need to drive your impact.
Ready to do the most impactful work of your career? We want to hear from you.
Zego, leading the AI evolution in insurance.
Equal opportunities 🌈
We're an equal opportunity employer and we 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.