Requirements

• Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns.
• Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker).
• Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong.
• Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models.
• Bonus:
• Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale.
• Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools.
• Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.

Work Location