Senior Data Engineer - Real-Time 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

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.