At a Glance
- Tasks: Design and build a cutting-edge cloud cost data platform using Python and SQL.
- Company: Join a forward-thinking tech company in London with a hybrid work model.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Lead innovative projects that shape the future of AI and cloud cost management.
- Qualifications: Strong experience in data engineering, architecture, and FinOps concepts required.
The predicted salary is between 63000 - 77000 £ per year.
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 platform
- Build and lead development of Python/SQL data pipelines and models
- Ingest and reconcile billing, pricing, usage and consumption data
- Integrate Azure, AWS, Snowflake and AI-provider data and APIs
- Design cost allocation, attribution, showback and forecasting models
- Capture AI request/token consumption and associated costs
- Build governed, auditable datasets with appropriate quality controls
- Provide technical leadership to a small engineering team
Required skills:
- Strong Python and SQL
- Data engineering, architecture and data modelling
- Production ETL/ELT pipelines and API integrations
- AWS and/or Azure cloud data
- Snowflake, Databricks or similar
- Cloud billing, cost or consumption data
- FinOps concepts including allocation, showback/chargeback and optimisation
- Strong stakeholder and technical leadership skills
Experience with Azure Cost Management, AWS CUR/Cost Explorer, Snowflake cost telemetry, FOCUS, Power BI or AI/LLM consumption data would be particularly valuable.
Senior FinOps Data Engineer/Technical Lead in London employer: Charles Alan Consulting Ltd
As a leading financial services organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our commitment to innovation in AI governance not only empowers our teams to excel in their roles but also offers unique opportunities for meaningful contributions to the future of technology and finance. With a hybrid working model, we ensure flexibility while maintaining a collaborative environment that values diverse perspectives and encourages professional advancement.
Contact Details:
Charles Alan Consulting Ltd Recruitment Team
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We think you need these skills to ace Senior FinOps Data Engineer/Technical Lead in London
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