Hybrid Data Solutions Developer for ML & Pipelines

CHEP is seeking a Data Solutions Developer to optimize asset usage through the implementation of automated solutions and data analysis. This role requires proficiency in Python, SQL, and AWS, with responsibilities that include building scalable data pipelines and collaborating with stakeholders.

The ideal candidate will have 5+ years of professional experience, possess strong problem-solving skills, and be comfortable working in a hybrid remote environment. Join CHEP to contribute to innovative logistics solutions and promote sustainability.