DontApply.Club
Login Register

FinOps Data Engineer - AI Usage, Token Utilization & Cloud Optimization

Charles Alan Consulting Ltd — United Kingdom · Posted ~4 hours ago

Senior

Skills

Python SQL data engineering data modeling production pipelines FinOps cloud cost management cost allocation cost reconciliation AI usage analytics Azure AWS Snowflake

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A FinOps-focused Data Engineer will build Python and SQL pipelines that combine AI provider, cloud, and data-platform billing and usage information. The role covers token consumption, cost attribution, invoice reconciliation, forecasting, reporting, and optimization across cloud and data services.

Highlights

Build a specialized data product for AI cost and usage analytics, work across engineering and finance, and identify optimization opportunities across major cloud and data platforms.

Description

The main focus will be an AI Cost and Usage Data Product, bringing together provider billing and usage data to understand how AI is being consumed, where costs sit and how efficiently it is being used. What you will be working on: • Building Python and SQL pipelines to ingest AI provider, cloud and data-platform billing and usage data. • Measuring AI usage and token consumption, attributing costs to applications, teams and business areas. • Reconciling usage against invoices and supporting cost reporting, forecasting and showback. • Identifying optimisation opportunities across AI services, Azure, AWS and Snowflake. • Working closely with engineering, finance and platform teams to turn the data into practical decisions. We are keen to hear from people with: • Strong hands-on data engineering experience, particularly Python, SQL, data modelling and reliable production pipelines. • Experience with cloud cost and usage data, FinOps, cost allocation and reconciliation. • Practical knowledge of Azure, AWS and Snowflake. • The ability to own technical delivery and work confidently with technical and business stakeholders. Experience with generative AI usage, token-based billing or AI cost optimisation would be particularly valuable, as would experience in financial services or another regulated environment. If this sounds like your area, please message me directly to hear more. #Hiring #FinOps #DataEngineering #AI #CloudOptimisation