Data Engineer: Commodity Analytics & Automation

A leading global analytics firm seeks a Data Engineer to develop commodity models and automate workflows. The ideal candidate will collaborate with analysts, manage end-to-end analytical projects, and utilize SQL, Excel, and Python. A Bachelor's degree and strong English skills are required, alongside a minimum of three years in a relevant role. The position offers health coverage, flexible time off, and continuous learning opportunities, with the possibility of remote work in Colombia.
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