Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist / Data Engineer

Orbis Group
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist / Quant Engineer

Junior Data Scientist Data & ML Engineering Focus Remote UK Only

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Data Scientist - London

Data Scientist

Data Engineer Front Office - Trading
Orbis are partnering with a global Commodities Trading firm who are investing heavily in data-driven decision-making, and embracing modern technology across the business, including GenAI. As part of this growth, theyre looking for a Data Engineer to join their data team and ensure commercial teams have the data they need, when they need it.

This is an incredible opportunity to work at the intersection of data, technology, and trading, supporting the global commercial teams and shaping how data underpins market insights, pricing models, and investment decisions.

Design, build, and optimise data pipelines and market data platforms in Python for scalable, high-performance analytics
Manage end-to-end data ingestion (ETL), transformation, and quality control, ensuring data accuracy and reliability
Collaborate with traders, quants, and data scientists to translate commercial needs into robust technical data solutions
Oversee operational stability developing monitoring tools, automations, and runbooks to ensure resilient data operations

6+ years experience in Data Operations, Data Engineering, or similar, ideally with a Data Provider or Trading firm
~ Excellent Python skills (Pandas, NumPy), SQL
~ Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing and maintenance of data pipelines
~(Preferred) Strong experience working with Market Data and/or fundamental/macro data covering the commodities Trading space

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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.