At a Glance
- Tasks: Design and build high-performance data platforms for real-time trading analytics.
- Company: Globally recognised energy & commodities trading firm in London.
- Benefits: Highly competitive salary, bonuses, and opportunities for progression.
- Other info: Engage with traders and quants in a dynamic, front-office environment.
- Why this job: Directly influence trading outcomes and tackle high-impact data challenges.
- Qualifications: Strong Python and SQL skills, experience with AWS and scalable architectures.
The predicted salary is between 80000 - 100000 € per year.
A globally recognised energy & commodities trading firm is hiring a Senior / Lead Data Engineer to sit at the intersection of data, trading, and real-time decision making. This is a front-office aligned role where your work will directly power trading strategies, analytics, and risk decisions — not just reporting. If you’re a data engineer who can combine technical depth with commercial awareness, and you want to work on real-time, business-critical systems — this is a standout opportunity in the London market.
The Role
- Design and build high-performance data platforms and pipelines that support real-time analytics across global markets.
- Work closely with traders, quants, and data scientists to turn complex datasets into usable, actionable intelligence in a fast-moving trading environment.
- This role suits someone who is not just technically strong, but also confident engaging with senior stakeholders and understanding commercial impact.
What You’ll Be Doing
- Building scalable, production-grade data pipelines and platforms.
- Delivering real-time and near real-time data solutions for trading use cases.
- Partnering directly with front office stakeholders (traders, quants).
- Improving data reliability, accessibility, and performance.
- Contributing to architecture, tooling, and best practices across the data platform.
Tech Environment
- Python for data engineering and processing.
- AWS cloud-based infrastructure.
- SQL & data warehousing (ideally Redshift).
- Docker and containerised environments.
- CI/CD & Infrastructure as Code.
What They’re Looking For
- Excellent Python & SQL skills with large, complex datasets.
- Proven experience working with cloud (AWS) and scalable architectures.
- Ability to engage with front office / commercial stakeholders.
- Experience delivering real-time or low-latency data solutions.
- Background in commodities, trading, or financial markets is highly desirable.
Why Join?
- Front-office exposure — your work directly influences trading outcomes.
- Work on genuinely interesting, high-impact data problems.
- Strong engineering culture with modern tooling and autonomy.
- Highly competitive package with bonus and progression opportunities.
- Opportunity to step into a lead-level role with real ownership.
Lead Data Engineer - Commodities Trading Platform in London employer: ANSON MCCADE
Join a globally recognised energy and commodities trading firm in London, where you will be at the forefront of data engineering, directly influencing trading strategies and decisions. With a strong emphasis on a collaborative work culture, competitive compensation, and opportunities for professional growth, this role offers a unique chance to engage with senior stakeholders and tackle high-impact data challenges in a dynamic environment. Experience the benefits of a hybrid working model while contributing to innovative solutions that drive real-time analytics in the trading sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Commodities Trading Platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in commodities trading. Use platforms like LinkedIn to connect and engage with professionals; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your experience with Python, SQL, and AWS can directly impact trading strategies and decision-making.
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or worked on real-time analytics, make sure to highlight these in conversations. Bring examples that demonstrate your ability to solve complex problems in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their expertise to our team. It’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer - Commodities Trading Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Engineer. Highlight your experience with Python, SQL, and AWS, and don’t forget to mention any work you've done in commodities or trading. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our trading platform. Be sure to mention your experience with real-time data solutions and engaging with stakeholders.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's building data pipelines or improving data reliability, we love seeing concrete examples of your work that demonstrate your technical depth and commercial awareness.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your knowledge of data pipelines and real-time analytics. Be ready to discuss specific projects where you've built scalable solutions, as this will show your technical depth.
✨Understand the Trading Environment
Familiarise yourself with commodities trading and financial markets. Knowing how your role impacts trading strategies and risk decisions will help you engage confidently with stakeholders. Bring examples of how your work has influenced business outcomes in previous roles.
✨Showcase Your Collaboration Skills
This role involves working closely with traders and quants, so be prepared to discuss how you’ve successfully collaborated with non-technical teams. Highlight instances where your communication skills helped bridge the gap between data engineering and trading needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time scenarios. Think about challenges you've faced in past projects and how you overcame them. This will demonstrate your ability to thrive in a fast-paced trading environment.
