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: Earn up to £85,000 plus bonuses and enjoy hybrid working.
- Other info: Work in a dynamic team with opportunities for growth and influence.
- Why this job: Be part of a greenfield data transformation and make a real impact.
- Qualifications: Experience in data engineering, Azure Databricks, Python, and SQL 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 Environment
You will be working across a modern Azure data stack, including:
- Azure Databricks
- Azure Data Factory (ADF)
- Synapse / Fabric
- Snowflake
- Python & PySpark
- SQL
- DevOps & CI/CD tooling within Azure
Experience Required:
- 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
Key Points:
- Up to £85,000 + Bonus & Benefits
- London – Hybrid (3 days per week onsite)
If you are interested in this Data Engineer opportunity, please respond with your latest CV and contact details for immediate consideration.
Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus & Benefits | Hybrid London in Slough employer: VirtueTech Recruitment Group
Join a leading global Energy & Commodities Trading organisation that prioritises innovation and employee development. With a hybrid work model in vibrant London, you will be part of a dynamic team driving a greenfield data transformation, offering competitive salaries, bonuses, and comprehensive benefits. The company fosters a collaborative culture that encourages professional growth and the opportunity to work with cutting-edge technologies in a fast-paced 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 & Benefits | Hybrid London in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to Azure Databricks or data pipelines. Share it on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss your past experiences. Remember, confidence is key, so show them you know your stuff!
✨Apply Through Our Website
Don't forget to apply directly 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 to connect with us.
We think you need these skills to ace Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus & Benefits | Hybrid London in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Azure Databricks, Python, and data pipelines to show us you’re the perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity in Energy & Commodities Trading. Share specific examples of your past work that align with our greenfield data transformation goals.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention your hands-on experience with SQL, data modelling, and any relevant tools like Power BI or Tableau. We want to see what you can bring to our team!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the quickest way for us to receive your application and get you into the process. We can’t wait to hear from you!
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 tackled complex data issues.
✨Understand the Business Context
Familiarise yourself with the energy and commodities trading sector. Understand how data impacts trading decisions and PnL analysis. This will help you demonstrate your ability to align data strategies with business growth objectives during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data transformation goals and how the engineering team collaborates with other departments. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
