C# Developer

C#/.NET Developer Commodities & Data Analytics UK (remote) Our client is a global provider of data and analytics for the commodities markets, and they are seeking a skilled C#/.NET Developer with a strong background in data-driven applications and commodities markets. The successful candidate will be responsible for building and maintaining software solutions that enable accurate, timely, and actionable insights to its customers. This role requires a deep understanding of both software development and the data-intensive needs of the commodities industry. Key Responsibilities: Design, develop, and maintain high-performance software applications using C#/.NET technologies. Collaborate with cross-functional teams (data engineers, analysts, and product managers) to build robust, scalable systems that process large datasets efficiently. Work with real-time and historical data related to commodities markets (e.g., metals, energy, agriculture, etc.) to deliver high-quality analytics and insights to end users. Optimize and enhance existing systems, ensuring they meet the performance and scalability requirements for data-heavy applications. Develop API services to integrate with internal and external platforms, ensuring smooth data flow and real-time data delivery. Required Qualifications: 5+ years of experience in software development using C#/.NET technologies. Knowledge of commodities markets (e.g., metals, agriculture, energy). Strong understanding of data structures, algorithms, and design patterns. Experience working with large datasets and developing data-intensive applications. Experience with SQL or other relational databases, as well as working with NoSQL databases. Solid experience with RESTful APIs and web services. Familiarity with cloud platforms such as Azure for deploying and managing applications. Preferred Qualifications: Experience with Big Data technologies (e.g., Hadoop, Spark) or data streaming platforms (e.g., Kafka). Knowledge of data analytics tools and platforms used within the commodities industry. Experience in building real-time data processing systems.