Full job description A leading technology consultancy operating at the intersection of data, AI, and capital markets is seeking an exceptional Principal Software Engineer to join its Energy & Commodities Trading practice.
This is a senior, hands-on technical leadership role where you will design and deliver real-time, high-performance trading systems supporting critical decision-making across global trading environments.
You will work directly with senior client stakeholders (CTOs, Heads of Data, Engineering Leads) to architect scalable platforms that sit at the heart of front-to-back office trading workflows, influencing both technical direction and broader data strategy.
*Key ResponsibilitiesTechnical Leadership Architect and deliver distributed, high-performance systems for trading environments
*Build and optimise real-time and near real-time data pipelines supporting intraday trading decisions
*Design systems integrating market data feeds, positions, P&L, risk, and back-office platforms
*Define engineering standards, architecture patterns, and coding best practices across teams
*Mentor and technically lead engineers across multiple delivery workstreams
*Partner with senior client stakeholders to shape data, AI, and platform architecture roadmaps
*Trading & Client Delivery Lead delivery of front, middle, and back-office transformation initiatives through to production
*Act as the primary technical authority across client engagements
*Own technical relationships with senior engineering and trading stakeholders
*Translate complex trading requirements into scalable, production-grade systems
*Contribute to internal thought leadership and go-to-market capability within capital markets
*Navigate constraints including latency, resilience, regulatory compliance, and trading workflow complexity
Technical Requirements This is a hands-on engineering role requiring deep technical execution capability alongside architectural leadership.
*Core Skills Strong programming ability in Python, JavaScript, SQL, and at least one additional modern language
*Experience building real-time streaming systems (e.g. Kafka or equivalent)
*Proven track record designing low-latency, high-throughput distributed systems
*Experience working in environments with strict performance, scalability, and reliability requirements
*Strong cloud experience across AWS and/or Azure, including managed data services
*Deep knowledge of both:
*Transactional databases (e.g. PostgreSQL, SQL Server)
*Analytical / time-series systems (e.g. ClickHouse, MongoDB, or similar)
*Nice to Have Kubernetes and containerised deployment environments
*Exposure to pricing, risk, or trading engine systems
*Experience working alongside quantitative or systematic trading teams
*Interest or experience in AI/ML applications in trading environments