Analytics Engineer London

Zego; Greater London; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Private medical insurance

Pension

Learning budget

Share options

Performance bonus

Commuting/office allowance

Job summary

Zego in London is seeking an Analytics Engineer to translate business needs into clear data models and robust data assets. You will build and maintain data assets in Snowflake, dbt and Looker, using AI-assisted development to focus on intent and clarity.

You will review SQL, extend data contracts and observability, integrate data from Amplitude, Segment and Google Ads, and enable self-service in BI tools for business users.

Qualifications

• Analytics engineering experience requiring translating business needs into data models and robust data assets.
• Solid SQL skills including reading, writing, debugging, and critically reviewing queries (including AI-generated).
• Experience with modern data platforms and cloud environments (Snowflake, dbt, Looker, AWS/GCP).

Responsibilities

• Translate business needs into clear, well-scoped data requirements and models.
• Build and maintain data models and exposures in Snowflake, dbt and Looker with AI-assisted development.
• Review and debug SQL and AI-generated code to ensure trustworthy models and documented decisions.
• Extend testing, data contracts and observability to keep pipelines reliable.
• Integrate data from Amplitude, Segment and Google Ads for secure external data sharing.
• Enable self-service in BI tools for business users.
• Improve data platform and tools with an AI-first approach.

Skills

Analytics engineering experience

SQL proficiency

Modern data platforms

Attention to detail

Commercial curiosity

AI-first mindset

Tools

Snowflake

dbt

Looker

AWS or GCP

Git

Python

Job description

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.

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 central London office 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.

Zego, leading the AI evolution in insurance.

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

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.