Senior FinOps Data Engineer / Technical Lead

Senior FinOps Data Engineer / Technical Lead Location: London / Hybrid We are looking for a Senior FinOps Data Engineer / Technical Lead to help design and build a new enterprise capability providing a trusted view of AI, cloud and data-platform cost and consumption. The platform will bring together billing, usage and telemetry across Azure, AWS, Snowflake and AI providers, providing granular visibility of cost, attribution, utilisation and ultimately unit economics. This is a hands-on technical role combining data architecture, engineering and FinOps. You will help shape the solution while working directly on the underlying data products and pipelines. Key responsibilities Help define the architecture for a central cloud and AI cost data platformBuild and lead development of Python/SQL data pipelines and modelsIngest and reconcile billing, pricing, usage and consumption dataIntegrate Azure, AWS, Snowflake and AI-provider data and APIsDesign cost allocation, attribution, showback and forecasting modelsCapture AI request/token consumption and associated costsBuild governed, auditable datasets with appropriate quality controlsProvide technical leadership to a small engineering teamExperience we're looking for Strong Python and SQLData engineering, architecture and data modellingProduction ETL/ELT pipelines and API integrationsAWS and/or Azure cloud dataSnowflake, Databricks or similarCloud billing, cost or consumption dataFinOps concepts including allocation, showback/chargeback and optimisationStrong stakeholder and technical leadership skillsExperience with Azure Cost Management, AWS CUR/Cost Explorer, Snowflake cost telemetry, FOCUS, Power BI or AI/LLM consumption data would be particularly valuable.