At a Glance
- Tasks: Design and develop scalable cloud-based data platforms for energy trading.
- Company: Join a global leader in Energy & Commodities Trading.
- Benefits: Competitive salary of £85,000 plus bonus and hybrid work options.
- Other info: Work in a dynamic team with excellent growth opportunities.
- Why this job: Be part of a greenfield data transformation and make a real impact.
- Qualifications: Experience in data engineering, Azure Databricks, and strong Python skills required.
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 Trading (Greenfield, Azure Databricks) 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 Trading (Greenfield, Azure Databricks)
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those using Azure Databricks or Python, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data pipeline skills. Practice common scenarios you might face in the role, so you can impress with your hands-on knowledge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Engineer – Energy Trading (Greenfield, Azure Databricks)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure Databricks, Python, and data pipelines. 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! Share your passion for data engineering and how you can contribute to our team. Don’t forget to mention your experience in trading or financial services, especially in energy or commodities.
Showcase Relevant Projects:If you've worked on any projects that involved building scalable data platforms or optimising data pipelines, make sure to include them. We love seeing real-world applications of your skills, especially in a fast-paced environment like ours!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure Databricks, Python, and SQL. Brush up on your knowledge of data pipelines and cloud-based platforms, as you’ll likely be asked to discuss your hands-on experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly in data engineering within trading or financial services. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you’ve successfully navigated complex data issues.
✨Understand the Business Context
Familiarise yourself with the energy and commodities trading landscape. Being able to speak about how data impacts trading decisions, PnL analysis, and market data processing will show that you understand the bigger picture and can align your technical skills with business objectives.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data transformation programme, team dynamics, and how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
