Senior Front Office Software Engineer - Short Term Power Markets

Castleton Commodities International is seeking a Front Office Software Engineer to join their Data Science & Technology (DS&T) team in London. The role focuses on short-term power initiatives, building tools and systems to enable traders and quantitative analysts to efficiently test and execute strategies in fast-moving power markets. Responsibilities include delivering production-grade tools, data services, and real-time applications to enhance decision-making and strategy deployment for the European Intraday Power desk. The engineer will design, develop, and maintain real-time trading applications, analytics platforms, and data pipelines essential for systematic trading and risk management workflows.

Responsibilities

• Partner directly with traders and analysts to engineer and optimize trading processes, analytical models, and systematic strategies.
• Build and maintain scalable, high-performance Python services and APIs that power the analytics platform.
• Develop solutions to support supply and demand models, market data analysis, and strategy research.
• Design and implement cloud-native tools, including real-time analytics, visualization interfaces, and workflow automation that integrate seamlessly into the Front Office platform.
• Design and build a robust, reusable framework that integrates seamlessly with the Data Science & Technology data platform to support back-testing activities.
• Ensure low-latency data access and efficient system performance across real-time price feeds, position tracking, and order execution tools.
• Partner with Data Engineers to integrate live and historical market data for modeling, forecasting, and back-testing workflows.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field of study.
• 10+ years of professional Software Engineering experience in Python, leveraging modern frameworks, APIs, and cloud-native architecture, with a minimum of 5 years supporting Intraday Short-Term Power trading or similar real-time energy market environment.
• Strong foundation in Computer Science fundamentals, including data structures, algorithms, and software design principles.
• Familiarity with fundamental and weather datasets, as well as market data sources such as EPEX, ENTSO-E, or Nord Pool.
• Advanced knowledge of SQL and relational database technologies.
• Familiarity with DevOps practices, including Docker and cloud-native deployments.
• Experience in Linux and Windows environments.
• Exposure to AWS & Snowflake technologies is highly desirable.
• Ability to communicate effectively across technical and non-technical audiences.
• Strong attention to detail, problem-solving skills, and a passion for technology innovation.
• Must be able to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.