> Markdown version of [/jobs/ext/3286363-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3286363-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** TRIA - **Location:** Woking, UK - **Salary:** £117,000.0 - £143,000.0 - **Contract:** Temporary to permanent - **Skills:** Data Analysis, Continuous Integration, Data Warehousing, Github, Python (Programming Language), Power BI, Cloud Platform System, Sql Optimization, Snowflake, Git, Data Management, Data Pipelines - **Published:** September 22, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2981469375-2 ## About the Role * Strong commercial experience with Snowflake * Advanced SQL and production-grade Python * Experience building modern ELT pipelines and cloud-based data platforms * Strong data modelling experience using dbt, SQLMesh, or similar tools * Experience supporting reporting and analytics through Power BI * Knowledge of Git, CI/CD practices, and modern engineering standards * Excellent stakeholder engagement and communication skills ## Description We're supporting a rapidly growing UK organisation that is investing heavily in its in-house data capability and modern analytics platform. They are looking for an experienced Analytics Engineer to play a key role in developing scalable data solutions and delivering high-quality business insights. The Opportunity This is a hands-on contract position where you'll help build and enhance a modern data platform, working closely with stakeholders across the business to turn complex data into actionable insights., * Build and maintain data pipelines using Python to ingest data from multiple source systems * Design and develop dimensional data models within Snowflake * Optimise Snowflake performance, scalability, and cost efficiency * Deliver high-quality datasets and analytics for Power BI reporting and business intelligence * Develop and maintain ELT processes using tools such as dbt or SQLMesh * Implement data engineering best practices across CI/CD, GitHub, testing, and governance * Collaborate with business stakeholders to translate requirements into scalable data solutions