Charles Alan Consulting Ltd
Senior FinOps Data Engineer

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Senior FinOps Data Engineer | London | 6–12 Month Contract
We are working with a leading global investment manager to appoint a Senior FinOps Data Engineer to design and build data products that provide a trusted view of AI, cloud and data-platform cost and consumption.
This is a senior hands-on role focused on delivering a Central AI Cost & Usage Data Product, covering invoice reconciliation, cost attribution, showback, forecasting and optimisation across Azure, AWS, Snowflake and AI providers.
Key responsibilities
- Lead end-to-end delivery of FinOps data products and production pipelines
- Build secure, scalable SQL/Python ELT/ETL pipelines
- Integrate billing, invoice, pricing, usage and telemetry data
- Design canonical cost models, attribution logic and governed data schemas
- Develop Power BI semantic models and dashboards
- Deliver cost optimisation insights across cloud, AI, Snowflake and licensing
- Reconcile detailed usage against invoices, pricing, credits and commitments
- Establish data engineering standards, quality controls and operational processes
- Partner with Cloud, Data, Finance, Procurement, Security and Architecture teams
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key skills & experience
- Strong production Data Engineering background
- Advanced SQL and Python
- Excellent dimensional modelling and ELT/ETL experience
- Experience with REST APIs, billing data and enterprise telemetry
- Hands-on Snowflake, Azure and AWS experience
- Strong understanding of FinOps, cost allocation, showback/chargeback and optimisation
- Experience with AWS CUR, Azure Cost Management and Snowflake cost/usage telemetry
- Power BI / DAX experience highly desirable
- Knowledge of FOCUS, dbt, Airflow/Azure Data Factory or Terraform advantageous
- Financial services / regulated enterprise experience beneficial


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The opportunity
This is a 6–12 month engagement for a senior engineer who can take ownership of a complex FinOps data workstream and help establish scalable standards across the organisation.
If you are a Senior Data Engineer with strong FinOps, Cloud and Snowflake experience and are looking for a technically challenging contract, I’d be keen to speak with you.
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