Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain cutting-edge data platforms for a leading trading company.
- Company: Join one of the world's largest and most diverse trading companies.
- Benefits: Up to £110K salary, bonuses, and hybrid work options.
- Why this job: Shape the future of data engineering in a dynamic environment.
- Qualifications: Experience with Python, Azure, and modern data engineering practices.
- Other info: Opportunity for career growth in a fast-paced industry.
The predicted salary is between 66000 - 77000 £ per year.
Data Engineer required for an Energy and commodities trading house, which is one of the world's largest and most diverse general trading companies. Working with different types of commodities and a fast growing business.
As a senior member of the Data Engineering team, you’ll play a key role in shaping and delivering scalable data solutions that support both day‑to‑day operations and long‑term business growth. Focusing on building and maintaining the data platform’s. In this hands‑on role, you’ll guide a small team of data engineers and help shape a data platform that’s reliable, easy to use, and fit for everything from day‑to‑day business decisions to regulatory reporting.
As a Senior Data Engineer, you will be pivotal and help guide the build a modern, next‑generation core engineering platform—a greenfield enterprise foundation that will sit at the centre of all future initiatives. This platform will act as the gateway for business and trading teams, giving them access to centralised, enterprise‑grade capabilities that enable faster, smarter, and more efficient product development.
In this Senior Data Engineering role, you’ll design, develop, and maintain modern lakehouse‑based data platforms. Working closely with the Head of Core Engineering and teams across the business, you’ll help shape the organisation’s data strategy and ensure the platform aligns with long‑term objectives.
In this Senior Data Engineering role, you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will be to include establishing and championing best practices for data engineering while creating development environments that support efficient and reliable data processing.
Key Responsibilities of the Senior Data Engineer:- Solid grasp of modern data engineering concepts and workflows.
- Familiarity with Azure and related DevOps tools.
- Strong Python programming capability.
- Knowledge of data orchestration, pipeline development, and data modelling.
- Background in connecting data platforms with visualisation tools like Power BI and Tableau.
- Salary: Up to £110,000 per annum + Bonus & Benefits
- Location: London (Hybrid – 3 days in the office per week)
If you’re looking to be part of a leading energy and commodities trading company, working with the core engineering department and building and maintaining data platforms, we’d love to hear from you.
Senior Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £11[...] employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £11[...]
✨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 open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Snowflake, Databricks, or PySpark. This will give potential employers a taste of what you can bring to their team.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and data engineering concepts. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Apply Through Us!
We’ve got your back! Apply through our website to ensure your application gets the attention it deserves. Plus, we’re always looking for talented individuals like you to join our community!
We think you need these skills to ace Senior Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £11[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data platforms like Snowflake and Databricks, and don’t forget to showcase your Python skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our greenfield initiatives. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's data orchestration or pipeline development, we want to see examples of your work that demonstrate your expertise and creativity in data engineering.
Apply Through Our Website: We encourage you to apply 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 important updates from us!
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, like Snowflake, Databricks, and PySpark. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Think about how you’ve designed scalable solutions or improved data workflows, and be ready to explain your thought process.
✨Understand the Business Context
Since this role is within commodities and energy trading, do a bit of research on the industry. Understand how data impacts trading decisions and regulatory reporting, and be prepared to discuss how your work can support these areas.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready. Ask about the team’s current projects, the company’s data strategy, or how they envision the next-gen lakehouse evolving. This shows your genuine interest in the role and the company.