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

Nominate & Attend

Data Engineer- World-Leading Innovative Algo Trading Firm

Oxford Knight
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data EngineerSummary

This is one of the world's top algorithmic trading firms, looking for a Data Engineer to join their London team - ideally with Python experience. Amunity of self-starters from multiple tech backgrounds - maths,puter science, statistics, physics, engineering - they have built one of the world's most sophisticatedputing environments for research and development with data at its core.

This role offers the opportunity to be a critical part of the trading process where you'll work side by side with live trading teams to support one of the largest automated trading systems in the world. You'll be tasked with writing automation, exploring data, collaborating with research and trading colleagues and liaising with a variety of external partners. You'll also acquire, analyse and prepare data for quantitative research.

If you eat, sleep and breathe data, and can solveplex problems quickly, this role would be perfect for you!

Requirements

Previous experience in financial markets or working for a financial institution 2+ years' data engineering experience OR aputer Science degree (or similar) Solid experience in at least one of: PostgreSQL, MSSQL, MYSQL, andfortable using other SQL dialects as the job requires Experience with Python would be hugely advantageous Familiarity with the Linuxmand line Able to provide technical support in a production trading environment ETL pipelines experience is beneficial Track record of working successfully in a collaborative/cross-team environment


Benefits
Market-leading salary + bonuses + generous benefits package Huge flexibility on remote / work-from-home Truly flat management structure, with no red tape Friendly, informal yet highly rewarding work culture Work with the latest technologies onplex problems with significant impact

Contact
If you think you are a strong candidate for the role and would like further info, please contact:

Tom Brown

+44 (0)20 4576 5966
linkedin/in/thomas-brown-196a29103

Job ID Y3uoRMmyBwuR

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

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

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.