Analytics Engineer

Stack

Responsibilities

• ▹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 using AI-assisted development
• ▹Read, debug and critically review SQL, including AI-generated code, so the team ships models it can trust
• ▹Document modelling decisions, trade-offs and outcomes clearly
• ▹Wrangle and integrate data from multiple third-party sources (e.g. Amplitude, Segment, Google Ads)
• ▹Help build and maintain the trust infrastructure: tests, data contracts and observability
• ▹Ensure quality, reliability and stability across data models and pipelines
• ▹Create secure, efficient data shares for external partners (e.g. S3, SFTP, Snowflake Data Sharing)
• ▹Contribute to the continuous improvement of the data platform, tooling and use of AI in workflows
• ▹Support business users across the company to promote a culture of data-driven decision-making
• ▹Help translate business questions into well-designed data solutions and metrics

Requirements

• ▹Solid technical foundation for analytics/data engineering work
• ▹A natural curiosity for data

Soft skills

About the company

Since 2016, Zego has been on a mission to change traditional motor insurance by offering the lowest priced cover for good drivers, having sold tens of millions of policies and raised over $200 million in funding. The Data team is a small, dynamic group responsible for data availability, quality, integration, reporting and analytics, taking an AI-first approach: less hand-writing code, more framing problems and owning the trust infrastructure (testing, contracts, observability) the business relies on.