Charles Alan Consulting Ltd
AI & Snowflake Data Engineer
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London / Hybrid
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
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Essential Experience
- 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
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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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