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- Tasks: Engineer real-time data feeds for energy trading and enhance decision-making processes.
- Company: Leading global energy commodities trading firm with a focus on innovation.
- Benefits: Competitive salary, bonuses, generous benefits, and tuition assistance.
- Other info: Opportunities for professional growth and a supportive team culture.
- Why this job: Join a fast-paced, data-driven environment and make a direct impact on trading strategies.
- Qualifications: 5-10 years as a data engineer with experience in energy markets and advanced SQL skills.
The predicted salary is between 43200 - 72000 £ per year.
This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power business within the Data Science & Technology team in London. This team is pivotal in giving the firm a competitive edge, and this high-impact role focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making.
You'll integrate & manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems. This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts.
Requirements- 5 -10 years as a data engineer, ideally in Intraday Short-Term Power trading (or similar real-time energy market environments)
- Experience with energy commodity time-series datasets is a must-have
- Understanding of systematic trading workflows (signal generation, back-testing, model validation)
- Demonstrable ability to work in a high-frequency, intraday trading environment with tight feedback loops
- ETL/ELT frameworks experience writing pipelines to load millions/billions of records
- Advanced skills in writing highly optimized SQL code & relational databases
- Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.
- Exposure to AWS & Snowflake technologies
- Familiarity with short-term power market data sources, such as EPEX, ENTSO-E or Nord Pool, is strongly preferred
Competitive base salaries + bonuses. Generous benefits program, including parental and family leave policies, comprehensive insurance (medical, dental, retirement, life), charity volunteering allowance + charitable contribution match program, tuition assistance & reimbursement + continued learning opportunities.
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
ContactIf you feel you are suitable for this role, drop me an email or give me a call: Jack Peck [e] jack.peck@oxfordknight.co.uk [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131
Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading in London employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them. Real-world examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with ETL frameworks and SQL. We want to see how you think and solve problems in real-time.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and making an impact in the energy trading world.
We think you need these skills to ace Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading 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 energy commodity time-series datasets and any relevant projects that showcase your skills in a high-frequency trading environment.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used SQL, Python, or ETL frameworks in past roles. This will help us see your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about the energy trading sector and how your background aligns with our needs. Make it personal and engaging to grab our attention.
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 Oxford Knight
✨Know Your Data Inside Out
Make sure you’re well-versed in energy commodity time-series datasets. Brush up on your knowledge of short-term power market data sources like EPEX and ENTSO-E. Being able to discuss these confidently will show that you understand the industry and can hit the ground running.
✨Showcase Your Technical Skills
Prepare to demonstrate your advanced SQL skills and experience with ETL/ELT frameworks. Have examples ready where you've written highly optimised code or built pipelines that handle large datasets. This is your chance to shine, so don’t hold back!
✨Understand Systematic Trading Workflows
Familiarise yourself with the ins and outs of systematic trading workflows, including signal generation and model validation. Be ready to discuss how your previous experiences align with these processes, as this will highlight your fit for the role.
✨Be Ready for a Fast-Paced Environment
Since this role involves working in a high-frequency, intraday trading environment, prepare to talk about how you handle tight feedback loops and quick decision-making. Share specific examples from your past roles that illustrate your ability to thrive under pressure.