Senior FinOps Data Engineer/Technical Lead

Charles Alan Consulting Ltd; Greater London; Hybrid; GBP 110,000 - 140,000; Full time

Job summary

Charles Alan Consulting Ltd in London is seeking a Senior FinOps Data Engineer / Technical Lead to design and build an enterprise capability for a trusted view of AI, cloud and data-platform cost and consumption.

You will own hands-on data architecture, engineering and FinOps, delivering Python/SQL pipelines, ingestion of billing, usage and telemetry from Azure, AWS, Snowflake and AI providers, and guiding a small engineering team.

Qualifications

• Hands-on technical role combining data architecture, engineering and FinOps.
• Experience building end-to-end data platforms for cost visibility.
• In-depth knowledge of cloud billing, usage data and cost attribution.

Responsibilities

• Define 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/APIs.
• Design cost allocation, attribution, showback and forecasting models.
• Capture AI request/token consumption and associated costs.
• Build governed, auditable datasets with quality controls.
• Provide technical leadership to a small engineering team.
• Work with AWS/Azure cloud data and Snowflake/Databricks.
• Apply FinOps concepts: allocation, showback/chargeback and optimisation.

Skills

Python

SQL

Data pipelines

Data modelling

ETL/ELT

Cloud platforms

FinOps

Technical leadership

Architecture

Snowflake

Databricks

Tools

Azure

AWS

Snowflake

Databricks

Job description

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 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
• 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.