National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Developer - Trading Systems

City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Software Developer

Software Developer

Software Engineer

Junior Software Developer

Lead Software Developer

Junior/Mid-Level Software Developer (ASP.Net, C#, Entity Framework, SQL Server, Azure, TypeScript, React)- £45,000 – Hybrid/Altrincham – Remote working, flexible working, career progression, daily lunches, 20 + 8 days bank holiday

Job Title: Software Developer - Trading Systems

Contract Duration: 21 months

Location: London

Employment Type: Full-time, On-site

IR35 Status: Inside IR35

Job Description:

Belcan Workforce Solutions is seeking a highly skilled Trading Desk Developer for a 21-month contract with a prestigious multinational oil and gas corporation based in London. This full-time, on-site role involves the design, development, and maintenance of software applications across a diverse technology portfolio. The position has been classified as Inside IR35.

The Trading Desk Developer will:

Solve technical problems in real-time with a bias for action and a hands-on attitude
Act as the interface between Traders, Analysts and clients technical community
Support users to best leverage the data and analytics platform
Develop fundamental trading models in partnership with Traders and Analysts
Develop user-friendly web applications to allow easy interaction with models and analysts
Act as a technical mentor for a multidisciplinary team of data engineers, developers and data scientists
Stay abreast of industry trends and emerging technologies to continuously enhance the data analytics platform

About you

To be eligible for this role, you must:

Have experience in energy / commodity trading familiarity with commodity trading analytics use cases
Ability to manage workload under time pressure and changing priorities
The ability to translate business requirements into a clean technical design
Practical working experience using cloud services (Azure preferred)
Understanding of operational aspects like high availability, monitoring, security and robustness

Preferred Qualifications

Additionally, you should meet the following skills / experience requirements in at least one area

Data engineering
Bachelor's degree in computer science or a related field (or hold other relevant industry experience)
Strong proficiency in SQL and experience with database management systems
Solid understanding of data modelling, indexing and query optimisation techniques
Proficient in at least one programming language (Python preferred)
Knowledge of ETL (extract, transform, load) processes and tools
Experience with Databricks and Snowflake

Web development:
Bachelor's degree in computer science, web development, or a related field (or hold other relevant industry experience)
Proven experience in building web applications
Strong proficiency in HTML, CSS and JavaScript. Experience in designing and integrating RESTful APIs.
Experience with front-end frameworks / libraries (React preferred)
Familiarity with database systems. Full-stack development experience is helpful
Solid understanding of web performance optimisation, security and best practices

This vacancy is being advertised by Belcan

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Engineering Jobs: 10 Tweaks to Maximise Recruiter Visibility

As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.

Part-Time Study Routes That Lead to Data Engineering Jobs: Evening Courses, Bootcamps & Online Masters

Data engineering is at the heart of modern digital transformation. From building scalable ETL pipelines in finance to designing real-time analytics platforms in e‑commerce, organisations across the UK are investing heavily in data infrastructure. As a result, demand for skilled data engineers—professionals who can ingest, process, store and serve vast volumes of data—is soaring. Yet many aspiring engineers cannot pause their careers to study full time. Thankfully, an extensive range of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master's Programmes—allows you to learn data engineering while working. This in-depth guide covers every route: foundational modules and short courses, hands‑on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re a database administrator, software developer or business analyst aiming to pivot into data engineering, this article will help you map out a tailored path to build in-demand skills without interrupting your professional or personal life.

The Ultimate Assessment-Centre Survival Guide for Data Engineering Jobs in the UK

Assessment centres for data engineering positions in the UK rigorously test your ability to design, build and optimise data pipelines under real-world conditions. Employers use a blend of technical challenges, psychometric assessments, group exercises and interviews to see how you handle data architecture, collaboration and problem-solving at scale. Whether you’re focusing on batch processing, stream engineering or data warehousing, this guide will lead you through every stage with actionable strategies to stand out.