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- Tasks: Shape and deliver scalable data solutions 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, and hybrid work options.
- Other info: Dynamic team environment with opportunities for career growth.
- Why this job: Be pivotal in building a next-gen data platform that drives innovation.
- Qualifications: Experience in data engineering, Python, and Azure DevOps tools required.
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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 using Snowflake, Databricks, or PySpark. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨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 hearing from passionate candidates who are eager to join our team!
We think you need these skills to ace Senior Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £11[...] in England
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 projects. Be sure to mention your familiarity with Azure and DevOps tools, as these are key for us.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially those that demonstrate your ability to build scalable data solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 how you've tackled challenges in data engineering. Think about times when you improved a data pipeline or solved a scalability issue, and be ready to explain your thought process.
✨Understand the Business Context
Since this role is within commodities and energy trading, do some research on the industry. Understand how data engineering impacts trading decisions and regulatory reporting, and be prepared to discuss how you can contribute to these areas.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team dynamics, the future of the data platform, or how success is measured in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.