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 development.
- 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 OpportunityAs Data Engineer, you will:
- 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:
- Azure Databricks
- Azure Data Factory (ADF)
- 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
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 employer: VirtueTech Recruitment Group
Join a leading global Energy & Commodities Trading organisation that prioritises innovation and employee development. With a hybrid work model in London, you will be part of a dynamic team driving a greenfield data transformation, offering competitive salary packages, bonuses, and comprehensive benefits. The company fosters a collaborative culture that encourages professional growth and provides opportunities 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure Databricks or Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines and cloud-based platforms, and don’t forget to highlight your problem-solving abilities!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to the exciting greenfield data transformation.
We think you need these skills to ace Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus & Benefits | Hybrid London
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 catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering in the energy and commodities trading sector. Share specific examples of how you've contributed to similar projects in the past.
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! Include projects or achievements that showcase your expertise in building scalable data platforms and optimising data processes.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
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 sector. Understand how data impacts trading decisions and PnL analysis. This will help you demonstrate that you can align your technical skills with the company’s business objectives during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the greenfield data transformation programme, and how success is measured in this role. This shows your genuine interest in the position and helps you assess if the company culture aligns with your values.
