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- Tasks: Engineer real-time data feeds for Intraday Short-Term Power trading and optimise data pipelines.
- Company: Leading global energy commodities trading firm with a focus on innovation.
- Benefits: Competitive salary, bonuses, comprehensive insurance, and tuition assistance.
- Other info: Opportunities for charity volunteering and continued learning.
- Why this job: Make a direct impact in a fast-paced, data-driven trading environment.
- Qualifications: 5-10 years as a data engineer with experience in energy markets.
The predicted salary is between 70000 - 90000 £ 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 focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making. You will integrate and manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems. This role offers the opportunity to work in a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management.
Responsibilities
- Engineer the availability, quality and performance of real-time data feeds for the Intraday Short-Term Power business.
- Integrate and manage feeds from multiple sources: fundamental market data, grid operations, weather providers and internal trading systems.
- Develop and optimize data pipelines (ETL/ELT) to support execution strategies and analytics.
Qualifications
- 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.
- Understanding of systematic trading workflows (signal generation, back-testing, model validation).
- 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 and relational databases.
- Hands-on experience developing data solutions in Python, Pandas, NumPy, etc.
Desirable
- Exposure to AWS and Snowflake technologies.
- Familiarity with short-term power market data sources such as EPEX, ENTSO-E or Nord Pool.
Rewards and Incentives
- Competitive base salaries plus bonuses.
- Generous benefits program, including: Parental and family leave policies, Comprehensive insurance (medical, dental, retirement, life), Charity volunteering allowance and charitable contribution match program, Tuition assistance and reimbursement plus continued learning opportunities.
Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers 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
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading sector on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to real-time data feeds or energy markets. We want to see how you’ve tackled challenges and made an impact in previous roles.
✨Tip Number 3
Prepare for the interview like it’s game day! Brush up on your SQL and Python skills, and be ready to discuss your experience with ETL/ELT frameworks. We’re looking for candidates who can hit the ground running in our fast-paced environment.
✨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 seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with real-time data feeds and any relevant projects you've worked on in energy trading. We want to see how your skills align with our needs!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've developed and optimised data pipelines or worked with ETL/ELT frameworks. This will help us understand your hands-on experience and technical prowess.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about the energy sector and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Data Inside Out
Make sure you’re well-versed in the specific data sources mentioned in the job description, like EPEX and ENTSO-E. Brush up on your understanding of energy commodity time-series datasets and how they impact trading strategies.
✨Showcase Your Technical Skills
Be ready to discuss your experience with ETL/ELT frameworks and demonstrate your SQL prowess. Prepare examples of how you've optimised data pipelines in previous roles, especially in high-frequency trading environments.
✨Understand the Trading Environment
Familiarise yourself with systematic trading workflows, including signal generation and model validation. Being able to speak knowledgeably about these processes will show that you can hit the ground running.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-time scenarios. Think of past experiences where you had to integrate multiple data feeds under tight deadlines and be ready to share those stories.