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.