Senior Analytics Engineer

Zego; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private medical insurance

Company share options

Generous holiday allowance

Wellbeing benefits

Hybrid working contribution

Job summary

Zego, in the United Kingdom, seeks a Senior Analytics Engineer to shape how data is modeled and exposed across the business. You will define robust data models, set team patterns, and advance AI-assisted tooling while mentoring peers and driving trustworthy, scalable analytics.

You’ll partner with stakeholders to translate needs into well-scoped data solutions, own data quality, and enable self-service BI. A strong SQL base and hands-on experience with dbt and cloud platforms are essential.

Qualifications

• 5+ years’ experience as an Analytics Engineer or similar role.
• Expert SQL skills: fluent, fast debugging, and critical review including AI-generated code.
• Proven experience designing and owning data models for warehousing and BI, with dimensional modelling and clear grain definition.
• Hands-on with dbt and modern data platforms (Snowflake, Looker, AWS, GCP).
• Experience with version control tools such as Git and solid engineering practices around them.
• Exposure to Python for data tasks is a plus.
• Meticulous attention to detail and strong problem-solving instincts.

Responsibilities

• Own the design of robust, scalable data models and exposures in dbt, Snowflake, and Looker.
• Define patterns and conventions the wider team reuses.
• Evaluate architectural decisions and trade-offs shaping the data platform.
• Leverage AI-assisted development to move faster while maintaining intent and quality.
• Review SQL (including AI-generated code) to ensure trusted models.
• Wrangle and integrate data from multiple sources (Amplitude, Segment, Google Ads).
• Champion trust infrastructure, data contracts, and observability standards.

Skills

SQL

Data modelling

Mentoring

Code review

Business acumen

Python (optional)

AI literacy

Tools

dbt

Snowflake

Looker

AWS

GCP

Git

Job description

About the Role

We’re looking for a Senior Analytics Engineer to help lead how we build. The craft is changing fast: AI tools now handle a lot of the heavy lifting of writing SQL and boilerplate, which means the job is increasingly less about typing code and more about understanding the business problem deeply, specifying what "good" looks like, and taking ownership of whether what we ship is correct and trustworthy.

You’ll own the design of the data models the whole business depends on, set the standards and patterns the rest of the team builds to, and help shape how we put AI to work — not just using AI-assisted workflows, but improving the tooling and practices around them. You’ll be a technical anchor for the team: raising the bar through review, mentoring, and pairing, and levelling up the engineers around you.

You’ll bring deep technical expertise, a natural curiosity for data, and a strong instinct to question whether a number is actually right — not just whether a query ran. You’re as comfortable making architectural decisions and driving them to a conclusion as you are engaging stakeholders to understand what they really need.

What You Will Be Doing

Data Modelling & Engineering (AI-assisted)

• 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).

Data Quality, Trust & Operations

• 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.

Stakeholder Enablement & Technical Leadership

• 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.

About You

• 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.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development.

Equal Opportunity Employer

We are an equal opportunity employer and 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.