Senior Analytics Engineer

As a Senior Analytics Engineer at Zego, you design and own scalable data models that power the business's data-driven decisions. You will shape our AI-first data platform, define patterns and conventions, and mentor a growing team of engineers. You’ll ensure trust in our data through robust testing, observability, and data contracts, while enabling self-serve analytics for stakeholders. This role combines architectural leadership with hands-on data engineering to impact how we measure and improve outcomes for our customers. You’ll work in a collaborative BI team focused on reliable, scalable data solutions and practical AI-enhanced tooling.

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

• Design robust, scalable data models and data exposures in dbt, Snowflake, and Looker; set team-wide patterns
• Lead architecture decisions and trade-offs for the data platform
• Leverage AI-assisted development to reduce boilerplate and improve intent-focused work
• Read, review, and trust SQL (including AI-generated code) to ship reliable models
• Wrangle and integrate data from multiple sources (e.g., Amplitude, Segment, Google Ads)
• Define and champion trust infrastructure: testing, data contracts, observability
• Own data quality, reliability, and stability across models and pipelines
• Create secure data shares for external partners (e.g., S3, Snowflake Data Sharing)
• Drive continuous improvement of data tooling, platform, and ways of working
• Mentor and pair-program to raise engineering standards
• Enable self-service BI capabilities and support data-driven decision-making

• 5+ years of experience as an Analytics Engineer or similar role
• Expert SQL (writing, debugging, and reviewing, including AI-generated code)
• Proven experience designing and owning data models for warehousing and BI (dimensional modelling, defining grain)
• Deep experience with dbt and modern data platforms (Snowflake, Looker, AWS, GCP)
• Experience with version control tools (Git)
• Exposure to Python for data/analytics tasks (preferred)
• Strong attention to detail and problem-solving mindset
• Track record of mentoring, code reviews, and setting technical direction
• Genuine interest in AI and staying ahead of tooling trends
• Commercial acumen and ability to connect data work to business outcomes
• Insurance domain experience is a plus

• mentoring
• stakeholder communication
• problem-solving
• dbt
• Snowflake
• Looker