Data Transformation & Automation Engineer
Core
Design, develop, and maintain scalable data solutions for Global Supply Chain operations, enabling data-driven decision-making through end-to-end data lifecycle management.
Role type
Data Transformation & Automation Engineer
Builds
Scalable ETL/ELT pipelines, trusted datasets, and automation solutions for supply chain analytics and reporting
Domain
Supply Chain / Data Engineering
Required skills
SQL, Python, ETL/ELT frameworks, data modeling, data quality management, automation technologies, ERP platforms, master data management
Preferred skills
Data warehousing, dimensional modeling, RPA, cloud-based data platforms, Agile methodologies
Technologies
SAP, SAP MDG, Informatica, PIM, Power BI, Tableau
Responsibilities
Design and optimize ETL/ELT pipelines for data integration and transformation; Build scalable data ingestion processes; Develop complex SQL queries and data models; Participate in global data migration and harmonization projects; Transform and cleanse raw data into business-ready datasets; Implement data validation frameworks and quality controls; Monitor data pipelines and resolve integration issues; Identify and implement automation opportunities to improve process efficiency; Support testing frameworks for data processes; Lead root-cause analysis and performance optimization initiatives.
Seniority
Mid-level, hands-on IC
