Senior Data Science Engineer — Manufacturing Data Pipelines
Summary
Design and maintain scalable data pipelines for manufacturing production data, manage databases, automate workflows, and generate process-improvement reports using Python, JMP, and Power BI.
SCHOTT AG is seeking a Data Infrastructure Engineer in Kulim to design scalable data pipelines and collect from multiple production sources. You will analyze production data with Process Engineering and generate reports that drive process improvements.
The role emphasizes database management, automation of data workflows, and troubleshooting to minimize downtime, with strong skills in Python, JMP, and Power BI. Hybrid work and health benefits are offered.