Senior Data Engineer

•     Design, build, and maintain robust ETL/ELT pipelines feeding a Snowflake-based data platform

•     Build and manage integrations using SnapLogic to connect source systems, APIs, and downstream consumers

•     Develop and maintain data models and transformations in dbt, including tests, documentation, and CI/CD-based deployment

•     Design dimensional and/or medallion-style (Bronze/Silver/Gold) data architectures that balance performance, cost, and usability

•     Use AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues

•     Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy

•     Optimise Snowflake warehouse performance and cost (query tuning, clustering, resource monitors)

•     Write clean, tested, version-controlled code and contribute to CI/CD pipelines

•     Mentor junior engineers, including on how to use AI tools responsibly and effectively (e.g., reviewing AI-generated code, not blindly trusting output)

•     Contribute to internal standards for prompt patterns, reusable AI workflows, or tooling that make the whole team faster