Albany Beck
Python Data Engineer

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Job Title
We are looking to hire an experienced Python Data Engineer to help build and enhance a modern data platform on a multi-year programme, for one of our global banking clients. The focus will be on designing and developing data pipelines, data flows, and data models that integrate with existing platforms and support a new microservices architecture.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Build data flows and data models to support business and application requirements.
- Extract, transform, and load data from multiple existing platforms and systems.
- Ensure data is accessible, reliable, and available for consumption by new microservices.
- Work closely with engineering teams to optimise data storage and movement across the ecosystem.
- Improve automation and efficiency within data processing workflows.
- Support data quality, governance, and performance initiatives.
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.
Required Skills & Experience
- 5–10 years of experience in Data Engineering or a similar role.
- Strong Python development skills.
- Proven experience building ETL/ELT solutions and data pipelines.
- Experience with data modelling and data integration.
- Strong understanding of distributed systems, APIs, and microservices environments.
- Experience working with relational and/or NoSQL databases.
- Ability to work independently and collaborate with cross-functional teams.


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Desirable Skills
- Exposure to AI/ML technologies and data automation use cases.
- Experience leveraging AI tools or services to improve data processing and workflow automation.
- Cloud experience is beneficial but not a primary requirement.
Working Model
Hybrid working arrangement - Edinburgh or London
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