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Charles Alan Consulting Ltd

Senior FinOps Data Engineer/Technical Lead

London
Posted 1 day ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

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Experience We're Looking For

  • 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.

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Skills

Python
SQL
Data Engineering
Data Architecture
Data Modelling
ETL/ELT Pipelines
API Integration
AWS
Azure
Snowflake
FinOps
Cost Allocation
Technical Leadership
Power BI
Databricks
Cloud Billing

Location

London, England, United Kingdom

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