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A technology-driven trading firm operating across global financial markets, is looking for a talented Software Data Engineer to help design, build, and maintain the data platforms that power our trading, research, and operational systems.
The Role
As a Software Data Engineer, you will work closely with software engineers, quantitative researchers, traders, and infrastructure teams to develop robust, scalable, and high-performance data solutions. You will be responsible for building data pipelines, improving data quality, and developing systems that support both real-time and historical market data processing.
This is a hands-on engineering role that requires strong software development skills alongside expertise in data engineering and distributed systems.
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.
See breakdownIt searches the market for you
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.
Responsibilities
- Design, develop, and maintain scalable data pipelines and processing frameworks.
- Build and optimise systems for ingesting, storing, and distributing market and trading data.
- Develop software solutions for real-time and batch data processing.
- Ensure the accuracy, consistency, and availability of critical datasets.
- Implement monitoring, validation, and alerting frameworks to maintain data quality.
- Collaborate with quantitative researchers and traders to deliver reliable datasets and analytics.
- Improve performance, scalability, and resilience of existing data infrastructure.
- Contribute to architecture decisions and engineering best practices.
- Support cloud and on-premises data platforms as required.


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Requirements
- Strong software engineering experience using Python or C++.
- Experience building production-grade data pipelines and distributed data systems.
- Strong understanding of databases, data modelling, and data architecture.
- Experience with SQL and large-scale data processing technologies.
- Familiarity with messaging and streaming technologies such as Kafka or similar platforms.
- Understanding of software development best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
“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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