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# Analytics Engineer London

- **Company:** Zegoat Zego
- **Location:** Epsom, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Google AdWords, Artificial Intelligence, Amazon Web Services, Data Analysis, Data Infrastructure, Software Debugging, Python (Programming Language), SQL Databases, Snowflake, Git, Data Management, Looker Analytics, Software Version Control
- **Published:** September 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/analytics-engineer-london/47897408

## About the Role

successfulAnalytics engineering experience - Around 1 to 3 years as an Analytics Engineer or in a similar roleSolid SQL - You are comfortable reading, writing, debugging and critically reviewing queries, including AI-generated onesModern 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 tasksA 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 ranCommercial curiosity - An interest in the why behind the numbers and the ability to connect data work to business outcomesYou 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 uncomfortableThe Zego ways

## Description

doingTranslate business needs into clear, well scoped requirements, so every model you build answers a question someone is actually askingBuild 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 refiningReview and debug SQL critically, including AI-generated code, so we ship only models we can trust and document the decisions and trade-offs behind themExtend the trust infrastructure of tests, data contracts and observability that keeps our models and pipelines reliable and stableIntegrate data from third-party sources such as Amplitude, Segment and Google Ads and create secure, efficient data shares for external partnersEnable self-service in our BI tools, so business users answer their own questions instead of queuing for the data teamImprove our data platform, tooling and ways of working, including how the team puts AI to workWhat you will need to be


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