Python Data Engineer - Systematic Trading - Hedge Fund

Tempest Vane Partners
London, England
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - London, UK (Fully

Randstad Technologies Recruitment London, United Kingdom
Remote

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Data Engineer

Relation Therapeutics London, United Kingdom
Permanent

AI / Machine Learning Engineer

The Digital Bench Ltd Australia
£70,000 – £95,000 pa
Posted
24 May 2025 (11 months ago)

The Client
My client is a market leading alternative asset manager focused on multi-asset systematic investing.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.

The are looking for a Python focused Data Engineer to join their quantitative platform team.

What You'll Get
An opportunity to work in one of the most exciting and fast growing buy-side businesses in the City.
An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
Incredible career progression opportunities with potential access to all areas of the business.
A market leading compensation package including basic salary and annual bonus.
Benefits including a pension, private healthcare, life assurance and 25 days annual leave.

What You'll Do
Build and maintain the data infrastructure that fuels the funds research and trading strategies.
Take responsibility for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines.
Work closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalisation, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.

What You'll Need
Strong academic background in a STEM or Computer Science focused discipline.
Strong Python engineering experience.
Experience building ETL pipelines using Python.
Experience of SQL and relational databases.
Experience with AWS or similar Cloud technology.
Experience with S3, Kafka, Airflow, and Iceberg will be beneficial.
Experience in the financial markets with a focus on securities & derivatives trading.
Exceptional communication skills, attention to detail, and adaptability.

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.