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

Nominate & Attend

Python Developer

Bromley
3 weeks ago
Create job alert

Python Developer (Contract)

Location: Bromley, London (hybrid working 3 days onsite non negotiable)

Contract Length: 12 months

Daily Rate: £600 - £650 (inside IR35 via umbrella)

Are you a talented Python Developer looking for your next challenge? Our client is seeking an exceptional individual to join their dynamic team for a 12-month. This role offers a competitive daily rate and the opportunity to work within a globally recognised financial institution.

Key Responsibilities:

Develop and maintain scalable solutions using Python and other object-oriented or functional languages.
Collaborate with agile teams to enhance software development processes and integration practises.
Troubleshoot and resolve issues in large-scale, high-availability financial systems.
Engage with business users to communicate technical concepts effectively and gather requirements.
Provide 3rd line production support and contribute to system enhancements. Essential Skills:

Proven experience in Python development, with proficiency in languages such as C#, Java, or C++.
Familiarity with agile development methodologies (e.g., XP, SCRUM, Kanban) and continuous integration practises.
Strong analytical and problem-solving skills in fast-paced environments.
A degree in Computer Science, Physics, Engineering, Mathematics, or a related field.
Deep understanding of algorithms, data structures, and design patterns, including their applications.
Knowledge of Messaging Middleware concepts, TCP/IP networking, and contemporary development processes.
Experience in front office environments, particularly in FX, Fixed Income, or Derivatives Trading.
Excellent communication skills and a collaborative approach within a team setting. Desirable Skills:

Knowledge of derivatives/options products, preferably within FX.
Experience with integrated front office development environments (e.g., Sec DB, Athena, Quartz).
Familiarity with FIX Protocol (4.4), FpML, or other financial models.
Experience connecting to third-party systems, including broker feeds and trade repositories.
Knowledge of SQL or NoSQL databases.

If you're ready to take your Python development skills to the next level and make a significant impact in the financial industry, we want to hear from you! Apply now to seize this exciting opportunity.

How to Apply: Please submit your CV and a cover letter detailing your relevant experience and skills. We look forward to reviewing your application!

Note: Only candidates who meet the essential requirements will be contacted for an interview.

Join us and be part of a forward-thinking organisation that values expertise, teamwork, and innovation!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Related Jobs

View all jobs

Python Developer

Python Developer

Senior Developer - Python

HPC Python Developer

Senior Python Developer

Front Office Python Developer

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.

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.

Top 10 Mistakes Candidates Make When Applying for Data Engineering Jobs—And How to Avoid Them

Trying to land your next data engineering job? Discover the 10 most common mistakes UK candidates make—plus practical fixes, expert tips and curated resources to help you secure your ideal role. Introduction From real-time analytics teams in London fintechs to modern data platforms powering Cambridge health-tech, demand for data engineering talent across the UK has never been higher. Yet recruiters on DataEngineeringJobs.co.uk still reject the majority of CVs long before interview—often for small, avoidable errors. We analysed recent vacancies, interviewed in-house hiring managers and mined our most-read resources. The result is a definitive list of the 10 costliest application mistakes, each paired with an actionable fix and a helpful link for deeper learning. Bookmark this checklist before you press Apply.