We are seeking a hands-on Data Engineer with 3–5 years of experience to build and support modern Supply Chain data products using Databricks, SQL/Python, and SAP data. The role will focus on data pipelines, analytics, and reporting across Purchasing, Inventory, Production Planning, and Logistics.
Work closely with the Data Engineering Manager to understand requirements and deliver assigned backlog items.
Build and maintain ELT pipelines and data models in Databricks using Delta Lake and dbt.
Ingest and harmonize SAP data (MM, IM, PP, LE) for analytics and reporting use cases.
Develop KPI datasets and dashboards related to supplier performance, inventory health, production schedules, and logistics visibility.
Perform data analysis to support Supply Chain decision-making.
Prepare ML-ready datasets and support Data Science teams with feature creation.
Support basic AI/ML and Agentic AI initiatives (data preparation, monitoring, automation support).
Ensure data quality checks, documentation, and adherence to data governance standards.
