Senior Analytics Engineer
You will be the driving force behind making our analytics engineering workflows AI‑first. You’ll bring a strong analytics engineering foundation – you know dbt, BigQuery, and data modelling inside out – but your primary mission is to tenaciously push the boundaries of what we can automate.
What you will be doing
AI‑First Workflow Design
Design, build, and iterate on AI‑augmented workflows for analytics engineering tasks, pushing well beyond basic autocomplete into agentic automation. Build and maintain coding agent customisations (e.g. AGENTS.md, skills, MCP servers, custom hooks) that encode our team’s domain knowledge and standards.
Analytics Engineering
Build and maintain scalable data models using BigQuery SQL and dbt. Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver robust, production‑ready solutions. Develop and maintain data quality standards and contribute to data governance practices.
Enablement & Engineering Practice
Champion AI‑first practices across the data team, coaching engineers on effective use of coding agents and AI tooling. Contribute to and improve our CI/CD pipelines (GitHub Actions), infrastructure‑as‑code (Terraform), and deployment practices (Cloud Run). Stay relentlessly up to date on the fast‑moving AI tooling landscape and advocate for adoption where it delivers genuine value.
Qualifications
Essential
- Strong SQL and solid understanding of data modelling (e.g. Kimball, wide/flat).
- Professional dbt experience – you’ve built and maintained production dbt projects.
- Experience with BigQuery or another cloud data warehouse.
- Demonstrable, hands‑on experience using AI coding agents (e.g. Claude Code, Cursor, GitHub Copilot) to meaningfully accelerate your own work – not just autocomplete, but agentic workflows.
- Self‑directed and tenacious – this role requires someone who will push forward without needing to be told what to automate next.
- Strong communication skills – you can explain AI‑driven approaches to both technical and non‑technical colleagues and bring people along.
- Comfortable with version control (Git & GitHub), CI/CD concepts, and collaborative development workflows.
Desirable
- Experience building or configuring AI agent workflows (e.g. custom agents, tool/function calling, MCP servers, Claude Agent SDK).
- Familiarity with Terraform, Docker, Cloud Run, or similar infrastructure tooling.
- Experience writing Airflow DAGs for data orchestration.
- Exposure to Python for scripting and automation.
- Familiarity with GitHub Actions or similar CI/CD platforms.
- Experience with data governance and data quality frameworks.
- Tableau or other data visualisation tools.
Benefits
- Up to 27 holidays + bank holidays
- Pension up to 6% employer contribution
- Bonus scheme
- Digital Doctor on demand
- Work from anywhere scheme – 2 weeks per year
- Financial coaching
- Mental health platform access
