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Mid-level data engineer, generic title, metro location and broad skillset drive high competition.
Strong supply-chain planning and SAP/APICS domain requirements limit cross-industry transferability.
Mandatory 5-7+ years supply chain experience plus specific ETL, SAP, and tooling requirements increases strictness.
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Drive development and optimization of scalable ETL pipelines and supply chain planning tools focused on inventory management and replenishment strategies.
Manage and lead complex data engineering projects incorporating cloud integration, advanced analytics, and automation within global multi-site supply chain contexts.
Collaborate with stakeholders to implement data-driven solutions improving decision-making processes and operational efficiency in supply chain planning.
5-7+ years’ experience in Global Supply Chain and Inventory Management (multi-site, multi-region).
Degree in Supply Chain Management or APICS CPIM certification.
Proven skills in data engineering including ETL pipeline development, working with SAP data, Excel, Power BI, and proficiency in SQL and R/Python (highly desirable).
Work Experience Required: 5-7+ years in global supply chain and inventory management.
Experienced in global, multi-site supply chain environments with project management and hands-on data engineering skills related to SAP APO/IBP and inventory optimization.
Skilled in integrating data science tools and AI-assisted development for supply chain planning and analytical tool development.
Able to lead and communicate with senior leadership and diverse stakeholders, translating complex data concepts into practical business improvements.