Senior Data Engineer (Short-Term Power Markets)

Oxford Knight; Greater London; On-site; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Bonuses

Comprehensive insurance (medical, etc)

Parental and family leave

Tuition assistance & continuedlearning

Job summary

Oxford Knight is seeking a Senior Data Engineer to support the Intraday Short-Term Power business from our London team. You will architect and maintain real-time data feeds, ensuring data quality and low-latency performance for execution strategies and analytics.

You will work with market data, grid operations, weather providers and internal trading systems, applying Python, SQL, AWS and Snowflake in a fast-paced, data-driven environment.

Qualifications

• 5–10 years as a data engineer, ideally in intraday power trading or real-time energy markets.
• Experience with energy commodity time-series datasets is essential.
• 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 processing millions/billions of records.
• Advanced SQL skills and relational databases.
• Hands-on data solution development in Python, Pandas, NumPy, etc.
• Exposure to AWS and Snowflake technologies.
• Familiarity with short-term power data sources (EPEX, ENTSO-E, Nord Pool) preferred.

Responsibilities

• Engineer real-time data feeds for intraday power markets and trading analytics.
• Integrate and manage data from multiple sources including market data, grid ops, weather, and internal systems.
• Ensure data availability, quality and performance to support execution strategies.

Skills

Data engineering

Real-time systems

SQL optimization

Python

Tools

AWS

Snowflake

Pandas

NumPy

ETL/ELT

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.
• 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.

Senior Data Engineer (Short-Term Power Markets) • London