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C# Developer

Cititec Talent
11 months ago
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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.

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