AI & Snowflake Data Engineer

We are looking for a mid-level Data Engineer to help build a new enterprise reporting platform focused on AI usage, token consumption and cost.

The organisation already has established cloud-cost reporting. This project will extend that capability into AI, creating a trusted view of how AI services are being consumed, what they cost and how usage can be attributed across the business.

You will work primarily with Snowflake, Python and SQL, integrating data from AI providers and building the pipelines, models and controls that underpin the platform.

Key responsibilities

• Build Snowflake-based data pipelines and models for AI usage and cost data
• Capture and reconcile request-level and token-level consumption
• Integrate AI-provider billing, pricing, usage and telemetry APIs
• Develop reporting datasets for attribution, forecasting and optimisation
• Preserve granular source data and distinguish billed, calculated and allocated costs
• Implement automated testing, data-quality controls, lineage and auditability
• Work with FinOps, cloud, data, finance and engineering stakeholders
• Strong hands-on Snowflake experience
• Strong Python and SQL
• Production ETL/ELT pipelines and dimensional data modelling
• Experience integrating REST APIs and complex usage datasets
• Understanding of Snowflake performance, telemetry and cost optimisation
• Exposure to AI/LLM usage, token-consumption data or AI-provider APIs
• Strong data-quality and software-engineering practices

Experience with OpenAI, Azure OpenAI, AWS Bedrock, dbt, Power BI, FOCUS or cloud-cost data would be particularly valuable.

This is an opportunity to work on a genuinely new enterprise AI capability, helping the organisation understand the real consumption, cost and value of its AI services.

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