Analytics Engineer

Zego

Analytics Engineer at Zego focused on designing data models and ensuring accurate data solutions. Collaborate with stakeholders and enhance data quality with AI assistance.

Posted 7/10/2026full-timeLondon • 🇬🇧 United KingdomJuniorWebsite

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design and build data models with the support of AI-assisted workflows
Own a growing share of the testing, data contracts, and observability
Work with stakeholders to understand business needs and translate them into clear, well-scoped requirements
Build and maintain robust data models and exposures in dbt, Snowflake, and Looker
Read, debug, and critically review SQL (including AI-generated code)
Document modelling decisions, trade-offs, and outcomes
Help build and maintain the "trust infrastructure" for model reliability
Create secure, efficient data shares for external partners
Support business users in promoting a culture of data-driven decision-making

Requirements

What you’ll need

Around 1–3 years' experience as an Analytics Engineer or in a similar role
Solid SQL skills — comfortable reading, writing, debugging, and critically reviewing queries (including AI-generated ones); experience with dbt and/or Looker is a plus
Familiarity with modern data platforms (e.g. Snowflake, dbt, AWS, GCP, Looker)
Experience with version control tools such as Git
Ideally have some exposure to Python for data or analytics engineering tasks
A meticulous eye for detail and strong problem-solving instincts
Genuine excitement about AI and how it changes work
Commercial curiosity

Benefits

Comp & perks

market-competitive salary
private medical insurance
company share options
generous holiday allowance
annual flexible hybrid working contribution

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Hard Skills & Tools

SQLData ModelingDbtSnowflakeLookerPythonDebuggingData ContractsObservabilityAI-Assisted Workflows

Soft Skills

Problem-SolvingAttention to DetailCommercial Curiosity