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- Tasks: Design and maintain cutting-edge data platforms for a leading energy trading company.
- Company: Join one of the world's largest and most diverse trading companies.
- Benefits: Up to £110K salary, bonuses, hybrid work, and great benefits.
- Why this job: Shape the future of data engineering in a dynamic, greenfield environment.
- Qualifications: Experience with Python, Azure, and data orchestration tools required.
- Other info: Opportunity for career growth in a fast-paced, innovative team.
The predicted salary is between 110000 - 110000 £ per year.
Data Engineer required for an Energy and commodities trading house, 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 their 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 the Senior Data Engineering role you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring scalability, security, and performance.
Key Responsibilities:- 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.
Details:
- Salary: Up to £110,000 per annum + Bonus & Benefits
- Location: London (Hybrid – 3 days in the office per week)
- Employment type: Full‑time
- Seniority level: Mid‑Senior level
If you’re looking to be part of one of the leading energy and commodities trading companies, 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[...] in London 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[...] in London
✨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 tell them what you can do; show them! Create a portfolio of projects that highlight your experience with Snowflake, Databricks, and Python. This will give potential employers a taste of what you bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your data engineering concepts and workflows. Be ready to discuss your past projects and how you've tackled challenges. Confidence is key, so practice makes perfect!
✨Apply Through Us
We’ve got your back! Apply through our website for the best chance at landing that Senior Data Engineer role. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips or support.
We think you need these skills to ace Senior Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £11[...] in London
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, Python programming, and any relevant technologies like Snowflake or Databricks. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering 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 any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable data solutions. We’re keen to see your hands-on experience in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 too, as they’ll likely ask you to demonstrate your programming capabilities during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with data orchestration, pipeline development, and data modelling. Be ready to discuss how you’ve tackled challenges in these areas and what impact your solutions had on the business.
✨Understand the Business Context
Since this role is within commodities and energy trading, do some research on the industry. Understand the key challenges and trends in the sector, and think about how your skills can help the company navigate these effectively.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. This could be about the team dynamics, the future of the data platform, or how success is measured in this role. It shows you’re genuinely interested and engaged with the opportunity.