At a Glance
- Tasks: Design and develop data pipelines using open-source tech for energy trading.
- Company: Join a leading energy trading house focused on sustainability and innovation.
- Benefits: Competitive salary up to £85,000, hybrid work model, and career growth opportunities.
- Other info: Dynamic team environment with a focus on data-centric decision making.
- Why this job: Make a real impact in the energy sector while working with cutting-edge data technologies.
- Qualifications: Strong Python skills and experience with data processing frameworks required.
The predicted salary is between 75000 - 85000 £ per year.
Data Engineers are needed for an Energy trading house, active in both the physical & derivative Trading markets. Specialising in providing flexible energy supply, trading, risk management, and decarbonisation solutions for large energy users. Operating at the intersection of energy markets, technology, and sustainability, the company combines in-house trading expertise, data-driven analytics, and innovative energy solutions to help customers navigate complex wholesale markets and accelerate the transition to a low-carbon future. As a company they are moving to a Data-Centric decision making model and therefore this is an opportunity for a Data Engineer to get involved in the growing Data Engineering team, building scalable data applications, lakes & infrastructure, using Open-source technologies.
Hybrid role with 2-3 days per week in the office in Shepherd’s Bush / Barons Court, West London.
Responsibilities- Design, develop and maintain data ingestion pipelines using open-source frameworks.
- Build and optimise ELT/ETL processes to handle small to large scale data processing requirements.
- Design and implement scalable data architectures, data lakes, and related infrastructure.
- Experience in complex query optimization.
- Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark).
- Hands-on experience building and maintaining data ingestion pipelines.
- Proven track record of optimising queries, code, and system performance.
- Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow).
Location & Environment: Hybrid, London-based role.
Data Engineers x 2 | Open-source data processing, SQL, Python | Energy trading | Up to £85,000 [...] employer: VirtueTech Recruitment Group
As a leading energy trading house, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and sustainability. Our employees benefit from a hybrid working model, competitive salaries, and opportunities for professional growth within a rapidly evolving sector. Join us in Shepherd’s Bush, where you will be part of a dedicated team driving the transition to a low-carbon future through cutting-edge data solutions.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineers x 2 | Open-source data processing, SQL, Python | Energy trading | Up to £85,000 [...]
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading and data engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and open-source frameworks. This is your chance to demonstrate your expertise in building data pipelines and optimising queries. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data architectures. Practice common data engineering problems and be ready to discuss your past experiences with ELT/ETL processes. Confidence is key, so get comfortable talking about your work!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. By applying directly, you’ll ensure your application gets the attention it deserves. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Data Engineers x 2 | Open-source data processing, SQL, Python | Energy trading | Up to £85,000 [...]
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any open-source frameworks you've worked with. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for energy trading and data engineering. Let us know why you’re excited about the opportunity to work with us at StudySmarter and how you can contribute to our mission.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any portfolio showcasing your data ingestion pipelines or scalable data architectures. We love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with data processing libraries like pandas and NumPy. Be ready to discuss your experience with open-source frameworks such as Apache Spark and Kafka, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've optimised complex queries or improved system performance in past roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Understand the Company’s Mission
Research the energy trading house and its focus on sustainability and decarbonisation solutions. Being able to articulate how your role as a Data Engineer fits into their mission will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to data-centric decision making. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
