Graduate Software Engineer

Cobblestone Energy

At Cobblestone Energy we are on a mission to build the most advanced European electricity trading and analytics platform, with our technology being used by our teams of commercial traders to create significant value. Being a member of our team, you will work on exciting challenges that come with large-scale data processing, automation, and analytics. We work in an agile and highly collaborative environment and challenge the norms of traditional business leadership. We are looking for enthusiastic and resourceful engineers who are passionate about building highly reliable and performance data processing solutions. Developing a strong domain knowledge of our industry over time is key to long term success in this role.

This is a rare opportunity to take a leading role in the growth of a major player in the European Energy Markets. We are looking for someone who would be committed to the long-term success of the business. We operate in the European markets, but our commercial trading operations are in Dubai, UAE.

If you have excellent programming skills, strong problem-solving skills and a passion for developing/improving applications utilizing cutting edge technologies, then we would like to meet you.

What we offer in this role

• A full-time position on our Tech team
• Committed and remarkably talented colleagues
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career
• An opportunity to work on new things from scratch and make independent decisions.
• Investment in your development to ensure that you always remain the best in business
• Equity participation for strong contributors, ensuring our interests are all aligned long term

Responsibilities

• Contribute to software projects that support critical business operations
• Collaborate with engineers and commercial team members to improve internal tools
• Write clean, maintainable code and assist with debugging and testing
• Participate in design discussions and code reviews
• Continuously build your technical and domain knowledge
• Leverage modern AI coding assistants and LLM tools to accelerate development cycles, refactor legacy code, and write comprehensive tests.
• Experiment with and integrate AI capabilities (e.g., APIs, vector databases) to enhance internal tools and platform scalability.