Senior FinOps Data Engineer

• Advanced SQL and Python; strong production data engineering (modelling, schema design, ELT/ETL, data quality, orchestration)
• Hands-on Snowflake engineering and cost optimisation (query and warehouse economics)
• Azure and AWS cost/usage data (Cost Management; CUR / Cost Explorer)
• Reconciling consumption to invoices; core FinOps (allocation, showback/chargeback, forecasting, anomaly, unit economics, optimisation)
• CI/CD, automated testing, source control, observability; able to lead a complex workstream independently

Additional skills:

• AI / GenAI cost and token-based attribution; AI-provider telemetry · FOCUS · dbt · Power BI/DAX · Terraform/IaC · FinOps certification · financial-services or regulated-enterprise background, * Data Engineering: 5 years (required)
• Python & SQL: 5 years (required)
• building cloud cost & billing data pipelines: 1 year (required)
• Azure, AWS & Snowflake cost/usage data: 1 year (required)
• forecasting & cloud cost optimisation: 1 year (required)
• reconciling granular cloud usage: 1 year (required)

AI spend is accelerating and almost no one can yet say what it returns. You’ll build the central AI Cost & Usage Data Product that changes that: a provider-agnostic view of consumption, cost, attribution, reconciliation and optimisation across Snowflake, Azure, AWS and the AI platforms (OpenAI, Azure OpenAI, Anthropic, Copilot, agents).

This is a senior, hands-on, principal-level engineering role with genuine ownership. You’ll own the technical delivery end to end and set the standards others adopt, partnering with Cloud, Data, Finance, Procurement, Security and Architecture. Not a management role.

What you’ll build

• Robust, observable ELT/ETL in Python and SQL over large, late-arriving cost-and-usage data
• Canonical, multi-provider cost models and attribution across accounts, subscriptions, projects, cost centres and business units
• Granular usage reconciled to invoices and contracted pricing, with variance explained
• Snowflake, Azure and AWS telemetry that surfaces waste, anomalies and optimisation
• Governed Power BI semantic models, executive to transaction
• Forecasting, commitment and realised-savings analysis with Finance and Procurement