At a Glance
- Tasks: Design and build high-performance data platforms for real-time trading analytics.
- Company: Globally recognised energy and commodities trading firm in London.
- Benefits: Competitive salary, substantial bonuses, and excellent career progression.
- Other info: Opportunity for lead-level role with autonomy and front-office exposure.
- Why this job: Directly influence trading outcomes and tackle high-impact data challenges.
- Qualifications: Strong Python and SQL skills with experience in cloud and data pipelines.
The predicted salary is between 110000 - 160000 € 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
You’ll design and build high-performance data platforms and pipelines that support real-time analytics across global markets. Working closely with traders, quants, and data scientists, you’ll 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
- Strong experience building data pipelines & modern data platforms
- 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 Liverpool 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 engineering culture that promotes autonomy and innovation, you'll have access to competitive compensation, significant bonus potential, and ample opportunities for professional growth in a dynamic, fast-paced environment. This role not only offers front-office exposure but also the chance to tackle high-impact data challenges alongside industry experts.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Commodities Trading Platform in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the commodities trading space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than any application.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them in conversations. Real-world examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Research the company’s trading strategies and be ready to discuss how your data engineering skills can enhance their operations. Tailoring your approach shows you’re genuinely interested.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Engineer - Commodities Trading Platform in Liverpool
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 data pipelines, Python, and AWS, and don’t forget to mention any relevant work in commodities or trading. We want to see how your skills align with what we’re looking for!
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, as this is key for us.
Showcase Your Projects:If you’ve worked on any interesting data projects, make sure to include them! Whether it’s building scalable data platforms or improving data reliability, we love to see practical examples of your work. This helps us understand your hands-on experience and technical depth.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 building data pipelines and modern data platforms. Be ready to discuss specific projects where you've implemented these technologies, as this will show your technical depth.
✨Understand the Business Impact
This role is all about connecting data engineering with trading strategies. Familiarise yourself with how data influences trading decisions and be prepared to discuss how your work can drive commercial outcomes. This will demonstrate your ability to engage with senior stakeholders.
✨Prepare for Real-Time Scenarios
Since the job involves delivering real-time data solutions, think of examples from your past experience where you’ve successfully handled low-latency data challenges. Be ready to explain your approach and the impact it had on the business.
✨Showcase Your Collaboration Skills
You’ll be working closely with traders and quants, so highlight your experience in cross-functional teams. Prepare to share examples of how you’ve effectively communicated complex data concepts to non-technical stakeholders, showcasing your ability to bridge the gap between tech and business.
