Tech-driven energy trader connecting power and gas markets across 40+ regions
Danske Commodities runs a Microsoft-native stack (SQL Server, Azure, Databricks, Power Apps, Dynamics 365) optimized for trading operations and portfolio analytics across power, gas, and climate markets. The hiring pattern—finance-heavy with emerging data and engineering roles—reflects internal pressure to scale automation and handle large, complex datasets; projects cluster around ML feature development, pricing/forecasting, and portfolio performance tooling, signaling a shift from manual spreadsheet-driven workflows toward data-driven decision support.
Danske Commodities is a technology-enabled energy trading firm headquartered in Aarhus, Denmark, with 501–1,000 employees. Founded in 2004, the company trades power and gas across more than 40 markets, connecting renewable energy producers and large-scale industrial consumers to wholesale markets. Beyond trading execution, the firm manages wind-generated power, production balancing, risk management, and financial portfolio optimization. The business model combines trading expertise with increasingly sophisticated data analytics and automation—evident in active investments in machine learning features, scenario modeling, and real-time portfolio monitoring tools.
SQL Server, Python, C#, Rust, Azure, Databricks, Power Apps, Power Automate, Dynamics 365, Power BI, and Excel/VBA. The stack is heavily Microsoft-centric with Python and Databricks for data modeling and ML.
ML feature development, Power Apps and Power Automate automation, pricing and forecasting models, portfolio performance analytics, scenario modeling for commercial decisions, and month-end closing workflows.
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