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Radley James

Software Engineer

London
Posted 21 days ago
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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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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Strong

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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.
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Skills

Python
C++
Data Engineering
Distributed Systems
Data Pipelines
Data Quality
SQL
Data Processing
Kafka
Problem-Solving
Communication
Collaboration
Data Modelling
Data Architecture
Monitoring
Validation

Location

London, England, United Kingdom

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