Referment
Software Engineer - Python and Data (FA7D986)

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Referment is working with an early-stage technology company to hire a Product & Data Engineer to join its growing engineering team.
The company is developing a technology platform that combines real-world data, software and AI to solve complex problems for large organisations.
This is a broad engineering position with significant ownership. You'll work across backend infrastructure, data pipelines, APIs and product development, helping build the technical foundations required as the platform and customer base scale.
You'll work closely with the founders and wider technical team and will have plenty of opportunity to influence both how the product is built and how the engineering environment develops.
The Role
You'll Be Responsible For
- Designing and building scalable backend systems and data infrastructure.
- Developing data pipelines to process large volumes of real-world data.
- Building and maintaining APIs and production services.
- Developing new product functionality across the technology stack.
- Designing systems that can scale as data volumes and customer usage increase.
- Working with cloud infrastructure and deployment environments.
- Maintaining and improving automated testing and CI/CD processes.
- Working closely with the wider team on technical architecture and product decisions.
- Using AI and modern development tools to improve engineering productivity.
- Exploring opportunities to incorporate AI capabilities into the wider product.
- Taking ownership of features and systems from initial design through to production.
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.
What We're Looking For
We're looking for a strong software or data engineer who enjoys building products rather than working within a narrowly defined engineering function.
You'll Ideally Have
- Around 2 to 8 years' experience within software, backend or data engineering.
- Strong production experience with Python.
- Experience designing and building APIs and backend services.
- Experience building data pipelines and working with data-intensive applications.
- Experience with cloud infrastructure.
- Experience taking software from development through to production.
- Good understanding of automated testing, deployment and CI/CD.
- The ability and interest to work across different parts of the technology stack.
- Strong problem-solving skills and an interest in tackling technically difficult problems.
- The ability to operate independently within an early-stage or fast-moving environment


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Experience with GCP, FastAPI, full-stack development, machine learning systems or LLM/agent frameworks would be particularly useful, although we're more interested in strong engineering fundamentals and technical curiosity than a perfect technology match.
This could suit a Software Engineer, Backend Engineer, Data Engineer, Product Engineer or Full Stack Engineer who wants broader technical ownership within an early-stage company.
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