At a Glance
- Tasks: Design and develop scalable cloud-based data platforms for trading and analytics.
- Company: Join a global leader in Energy & Commodities Trading with a focus on innovation.
- Benefits: Competitive salary of £85,000 plus bonus and hybrid working options.
- Other info: Work in a dynamic team with opportunities for career growth and development.
- Why this job: Be part of a greenfield data transformation and make a real impact in the industry.
- Qualifications: Experience in data engineering, especially with Azure Databricks and Python.
The predicted salary is between 85000 - 85000 £ per year.
Data Engineer required for a global Energy & Commodities Trading organisation, supporting a greenfield data transformation programme within a fast-growing and highly commercial trading environment. This is an exciting opportunity to join a core engineering team responsible for shaping and delivering a scalable, enterprise-grade data platform. You will play a key role in building modern data capabilities that support trading, PnL analysis, market data processing, and strategic investment decisions.
Working within a small but highly skilled team, this is a hands‑on role with significant influence over architecture, tooling, and engineering standards.
The Opportunity- Design, develop, and maintain scalable cloud‑based data platforms
- Build and optimise data pipelines for batch and real‑time data processing
- Support the adoption and implementation of Azure Databricks across the organisation
- Process and integrate market and trading data to support analytics and reporting
- Develop robust data models aligned to trading and operational workflows
- Ensure performance optimisation, data lineage, auditability, and governance controls
- Partner with the Head of Core Engineering and wider technology teams to align data strategy with business growth objectives
- Integrate data platforms with front‑end BI tools such as Power BI and Tableau
This role forms part of a broader Azure‑focused transformation, assessing key platform features and implementing scalable, production‑ready solutions.
Technology EnvironmentYou will be working across a modern Azure data stack, including:
- Synapse / Fabric
- Snowflake
- Python & PySpark
- SQL
- DevOps & CI/CD tooling within Azure
- Strong experience in modern data engineering within trading or financial services (energy/commodities experience highly desirable)
- Deep hands‑on experience with Azure Databricks
- Strong Python programming capability (including PySpark)
- Advanced SQL skills
- Experience building and orchestrating scalable data pipelines
- Strong understanding of data modelling and architecture principles
- Familiarity integrating data platforms with Power BI and/or Tableau
- Appreciation for data governance, auditability, and regulatory considerations
Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus[...] employer: VirtueTech Recruitment Group
Join a leading global Energy & Commodities Trading organisation that prioritises innovation and employee development. With a hybrid working model in London, you will be part of a dynamic team driving a greenfield data transformation initiative, offering competitive salaries, bonuses, and a culture that fosters collaboration and growth. This role not only provides the chance to work with cutting-edge technology but also encourages personal and professional advancement in a fast-paced trading environment.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus[...]
✨Tip Number 1
Network like a pro! Reach out to folks in the energy and commodities trading space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure Databricks or Python. This can really set you apart during interviews and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data modelling skills. Practice common data engineering problems and be ready to discuss how you've optimised data pipelines in past roles. Confidence is key, so get comfortable talking through your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might not be listed elsewhere. Plus, it shows you’re genuinely interested in joining our team. Let’s get you on board for that greenfield data transformation!
We think you need these skills to ace Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus[...]
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with Azure Databricks, Python, and any relevant projects in energy or commodities trading. We want to see how your skills align with our greenfield data transformation programme!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to our core engineering team. Be sure to mention your hands-on experience and any specific achievements that relate to the job description.
Showcase Your Technical Skills:In your application, don’t shy away from showcasing your technical prowess. Include examples of scalable data pipelines you've built or optimised, and any experience with BI tools like Power BI or Tableau. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Tech Stack
Make sure you’re well-versed in the modern Azure data stack mentioned in the job description. Brush up on your skills with Azure Databricks, Synapse, and Snowflake. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar but also experienced.
✨Showcase Your Data Pipeline Skills
Prepare to talk about specific examples where you've built and optimised data pipelines for both batch and real-time processing. Highlight any challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Business Context
Since this role is within Energy & Commodities Trading, do some research on the industry. Understand how data impacts trading decisions and PnL analysis. Being able to connect your technical skills to business outcomes will set you apart from other candidates.
✨Prepare Questions About Governance and Compliance
Given the emphasis on data governance and regulatory considerations, come prepared with questions about how the company ensures data auditability and compliance. This shows that you appreciate the importance of these aspects in data engineering and are ready to contribute to a responsible data culture.
