Kalpa Group
Contract data engineer - Outside IR35 - Fintech

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Senior Data Engineer - Contract - Python/ Azure/ airflow/ TypeScript/ APIs
Outside IR35 | £550–£700/day | 6 months initially | August/September start
Senior contract Data Engineers for an initial 6-month contract, helping scale the data layer behind a global investment platform.
Different funds and administrators report investment data differently, across different formats, structures, and reporting cadences. APIs vary considerably and often don't exist at all. The work is about turning that fragmented data into a clean, scalable, and reliable data layer.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Data engineer deliverables:
- Build and evolve data ingestion pipelines from multiple external data sources
- Design scalable data models across complex investment data
- Build APIs and product-facing data services
- Solve reconciliation and data-quality problems at scale
- Develop lakehouse and streaming capabilities
- Improve reliability, observability, and performance
- Develop AI-driven approaches to ingestion, processing, and reconciliation


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Technology environment:
Core: TypeScript, Python, SQL, Azure
Data engineering: Azure Data Lake, Airflow, Delta, lakehouse architecture, streaming
Infrastructure: AKS, Azure DevOps, Terraform, Docker
AI: LLM workflows, document intelligence, vector databases, embeddings, and agentic processing
Wider stack: React, Node.js, GraphQL
We're looking for strong, hands-on Data Engineers who are comfortable solving messy, real-world data problems in production.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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