▷ Only 24h Left: Senior Data Engineer – Commodities Trading– £130,000 Salary + Bonus

Saragossa
London
11 months ago
Applications closed

Get stuck in immediately to a database migration usingSnowflake.This company work across various energy and commoditiesmarkets across the world. We appreciate that not everyone wants towork within Oil and Gas trading, however, part of the role of thedata team is to look at more sustainable options for trading allkinds of commodities products.You’re going to be getting involvedwith a number of newly launched data projects, with your initialproject being to work on this migration. You’ll face off with thebusiness (Heads of Desk, Traders, Analysts), understanding whatthey need, discussing solutions with the Data Science team, thenbuilding out the best solution possible, whether it be with an offthe shelf product, or building it completely from scratch usingprimarily Python and SQL.The data team has grown over the past12-18 months, with data engineering still being built out inLondon. There’s a strong opportunity to take on leadershipresponsibilities, so if management is in your sights and ambitions,you’ll be able to achieve that here.The team are using moreadvanced technology as time goes on and you’ll be able to suggestpotential tools to use. Snowflake is one of the examples of this,as it’s recently been brought into the team on suggestion of one ofthe team and is now being widely used. Alternatively, if there’s aready customised tool within AWS that you feel is a better option,then you can use that. There really is plenty of technical freedomhere.In terms of your technical experience you’ll need to haveworked in a commercial data engineering role for a few years, thisis a mid-level position. Strong Python, Snowflake and SQLexperience will be required and any experience of working withtools like Docker/Kubernetes and AWS would be a huge preference.Commodities experience/knowledge is not required but would be aplus.This is a global commodities firm with a strong history ofperformance and revenue. Your starting salary will be up to£130,000 plus a performance related bonus. Benefits includemedical, dental and life insurance, wellness programs, pension,generous parental leave and various other perks.Want to make suredata has an impact on the future of commodities trading? Get intouch.No up-to-date CV required.

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

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

🍪 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.