C# .NET Developer | High-Volume Data

• Design and build high-performance backend systems using C# and .NET Core
• Develop scalable, event-driven services within a Kafka streaming architecture
• Engineer systems capable of handling large volumes of structured and time-series data
• Write efficient, multithreaded C# code optimised for throughput and performance
• Contribute to system architecture, scalability, and resilience decisions
• Deliver end-to-end functionality from analysis and design through to release
• Implement clean coding standards (SOLID, IoC, automated testing)
• Support CI/CD pipelines, Azure deployments, and production monitoring
• Collaborate closely with Trading and Quant teams on performance-sensitive solutions
• Mentor and review code where required

• Strong commercial experience as a C# .NET Developer
• Deep understanding of .NET Core / .NET 5+ backend development
• Experience building high-throughput backend services or APIs
• Exposure to distributed systems, concurrency, or multithreading
• Experience working with relational databases (SQL Server, Postgres, etc.)
• Exposure to Azure cloud environments
• Strong understanding of object-oriented design and modern engineering practices
• Confident communicator comfortable working across technical and business teams

Desirable Experience

• Kafka or other event-streaming technologies
• Large-scale data environments (streaming, data lakes, time-series systems)
• Docker & Kubernetes
• Observability and monitoring tools
• Experience within energy, commodities, or financial trading environments

This is a C# .NET-focused engineering role working in a high-volume, high-frequency data environment, building modern distributed systems that process and stream large-scale market data in real time.

You will be joining a technology-driven trading business that invests heavily in modern engineering practices, scalable architecture, and cloud-native infrastructure.

The Team

The Data Platform team sits at the core of the organisation's trading ecosystem. They design and build the systems responsible for:

• Ingesting and streaming high-frequency market data
• Storing and processing large-scale time-series datasets
• Distributing real-time data across trading and analytics platforms
• Enabling advanced quantitative and trading strategies

The environment is event-driven, Kafka-based, and built on modern .NET Core and Azure infrastructure. The team works closely with Trading, Quantitative Analytics, and Production Operations to deliver performance-critical systems that directly impact trading performance.

Role Details

Up to £95,000 + 20-30% Bonus + Benefits

Tech Stack: C# | .NET Core (5+) | Kafka | Azure | SQL Server | Docker | Kubernetes

Hybrid working (2-3 days per week onsite)