Analytics Engineer

Reposted 16 Days Ago
London, Greater London, England, GBR
In-Office
Junior
Automotive • Information Technology • Insurance
The Role
Design and build reliable data models and exposures using dbt and Snowflake, leveraging AI-assisted workflows. Own data quality, tests, contracts, and observability. Integrate third-party sources, create secure data shares, enable stakeholders with self-service BI, and continuously improve platform tooling and AI-driven processes.
Summary Generated by Built In

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 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 is 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, for you and your family
  • 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

If you're ready to help build the real-time, data-driven infrastructure for an intelligent world, we want to hear from you.

Zego, leading the AI evolution in insurance.

There's more to Zego than just a job. Check out our blog for insights, stories and more.

We were also named Best Insurance Company 2025.

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.

#LI-IL1

#LI-Hybrid

#LI-BM1

Skills Required

  • 1-3 years' experience as an Analytics Engineer or similar
  • Solid SQL skills: read, write, debug, and review queries (including AI-generated SQL)
  • Familiarity with Snowflake
  • Familiarity with cloud platforms (AWS or GCP)
  • Experience with dbt
  • Experience with Looker
  • Experience with version control (Git)
  • Exposure to Python for data or analytics engineering tasks
  • Experience building and maintaining data quality, tests, data contracts, and observability
  • Experience integrating third-party data sources (e.g., Amplitude, Segment, Google Ads)
  • Ability to create secure data shares (S3, SFTP, Snowflake Data Sharing)
  • Enthusiasm for and experience using AI-assisted workflows/tools
  • Commercial curiosity and ability to connect data work to business outcomes
  • Experience in the insurance sector
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The Company
HQ: San Diego, CA
388 Employees

What We Do

Zego is a commercial motor insurance provider that powers opportunities for businesses, from entire fleets of vehicles to self-employed drivers and riders. It combines best-in-class technology with sophisticated data sources to offer insurance products that save businesses time and money. Since its inception, Zego has believed that the problem with traditional insurance is that it holds businesses back. It’s too expensive and time consuming, and it no longer suits businesses who use vehicles to earn money. Zego’s products represent a solution to this problem for businesses based across the UK, Europe and beyond.

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