Senior Analytics Engineer

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)

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

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

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

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture — a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we're setting the bar higher, delivering exceptional work that makes a difference.

Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever you want.

You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance matter.

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we're flexible — some people prefer being in once a month or even quarterly. It's all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance

We believe in the power of AI to meaningfully improve how we work — helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career — and we'll provide you with the tools, support, and freedom to do it well.