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Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading

Oxford KnightLondon🇬🇧United Kingdom

Why this role stands out

This hybrid role offers a significant opportunity to drive impactful data solutions within a leading global energy commodities trading firm, leveraging your expertise to enhance real-time data for critical trading decisions. You'll thrive here if you're a skilled data engineer passionate about high-frequency trading environments and possess a strong background in energy commodity time-series datasets, making this an excellent platform for professional growth. Apply now to join a dynamic team and contribute to cutting-edge analytics and systematic trading strategies.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationLondon, United Kingdom
SQLAWSETLNumPySnowflakePandasPython

Job description

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.

Desirable
  • Exposure to AWS & Snowflake technologies
  • Familiarity with short-term power market data sources, such as EPEX, ENTSO-E or Nord Pool, is strongly preferred

Rewards and Incentives
  • 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.
Contact
If 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

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