Oliver Bernard
Senior Data Engineer | FinTech | London

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Senior Data Engineer | FinTech | London
London - hybrid, 3 - 4 days onsite weekly
Up to £120,000 + bonus
We’re partnered with a fast-growing FinTech who help leading financial institutions solve complex operational and compliance challenges through innovative SaaS solutions and expert-led technology delivery.
Following significant growth and investment, the company is entering an exciting phase of expansion and is looking for a Senior Data Engineer to help shape the next generation of its data platform.
The Role
As a Senior Data Engineer, you’ll play a key role in designing, developing, and evolving modern data infrastructure that supports critical financial services use cases.
You’ll be working on a major data platform transformation, moving from legacy data processes towards a modern cloud-based architecture. You’ll help build reliable, scalable, and highly auditable data systems where accuracy, traceability, and resilience are essential.
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
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 Responsibilities
- Design and evolve modern data frameworks and warehouse solutions
- Build and optimise scalable data pipelines using Python, PySpark, Snowflake, Databricks, and Kafka
- Develop robust data models and complex SQL solutions across large datasets
- Implement data quality controls, validation processes, monitoring, and alerting
- Improve performance across distributed data workloads and cloud platforms
- Support and mentor junior engineers, helping raise technical capability across the team


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Technical Requirements
You’ll ideally have:
- Strong commercial experience with Python and PySpark
- Experience designing reliable, auditable data pipelines
- Advanced SQL skills and experience working with large datasets
- Strong understanding of data modelling and warehouse design
- Experience with modern cloud data platforms (AWS) and orchestration tools
- Strong software engineering practices, including testing, CI/CD, observability, and clean code principles
London - hybrid, 3 - 4 days onsite weekly
Up to £120,000 + bonus
If you’re a Senior Data Engineer looking for a role where your work has visible impact and technical depth please apply!
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