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For Companies 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 £95,000 plus bonuses 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 95000 - 95000 £ 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
- Modern Azure data stack, including:
- 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
If you are interested in this Data Engineer opportunity, please respond with your latest CV and contact details for immediate consideration, or email directly to toby@virtuetech.io.
Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £95,000 + Bonus[...] employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £95,000 + Bonus[...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 related to Azure Databricks or trading data. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss how you've tackled challenges in past projects, especially in trading environments.
✨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 are proactive about their job search!
We think you need these skills to ace Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £95,000 + Bonus[...]
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!
Showcase Relevant Experience: When writing your application, focus on your hands-on experience in trading or financial services. If you've worked with energy or commodities, let us know! This will help us see how you can contribute to our team.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for key achievements and make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Make sure to include your latest CV and contact details so we can reach out to you quickly!
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 your hands-on experience with these technologies will show that you’re not just a theoretical candidate but someone who can hit the ground running.
✨Showcase Your Data Pipeline Skills
Prepare to talk about specific projects where you've built and optimised data pipelines. Be ready to explain the challenges you faced and how you overcame them. This is your chance to demonstrate your problem-solving abilities and your understanding of batch and real-time data processing.
✨Understand the Business Context
Since this role is within Energy & Commodities Trading, do some research on the industry. Familiarise yourself with how data impacts trading decisions and PnL analysis. Showing that you understand the business side of things will set you apart from other candidates who may only focus on technical skills.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their greenfield data transformation programme and how they envision the role of a Data Engineer contributing to it. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.