Industrial Engineer - Logistics & Data Optimization

Industrial Engineer Logistics & Data Optimization : Design, manage, and optimize Warehouse Management System (WMS) databases. Develop and implement SQL queries, stored procedures, and ETL pipelines. Ensure data integrity, indexing, and performance. Integrate WMS with ERP, inventory management, and procurement systems. Develop automated data pipelines and API integrations. Monitor and analyze warehouse efficiency, order fulfillment rates, and stock movement. Apply predictive analytics and statistical modeling. Generate data-driven reports for KPI tracking and executive decision-making. Identify and resolve warehouse bottlenecks. Optimize picking, packing, and order fulfillment workflows by applying Six Sigma, Lean, and industrial engineering methodologies. Develop AI / ML models.

Collaborate with operations, IT, and procurement teams. Work closely with warehouse staff and executives. Conduct training sessions on best practices in data reporting, logistics automation, and performance tracking.

Minimum Requirements :

• Bachelor's degree in Industrial Engineering or related.
• Knowledge of or experience in Logistics management, Dispatch management, and Project management.
• Knowledge of or experience in SQL, SAP, and Warehouse Management System.
• Knowledge of or experience in supply chain management.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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