Data Engineer, Operations Technology (all genders)
Core
Build and scale high-throughput batch and real-time streaming data pipelines to harmonize supply chain data for menu planning, forecasting, procurement, fulfillment, and logistics.
Role type
Senior Data Engineer (Supply Chain Operations)
Builds
Scalable data assets and real-time tracking systems for global supply chain operations
Domain
Food & Beverage / Supply Chain / Logistics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, PySpark, Data Modeling (dimensional/event-driven), Cloud Data Infrastructure, CI/CD, Docker, Git
Preferred skills
AI tooling (Claude Code, Cursor, Copilot), Product Sense, Technical Leadership
Technologies
AWS (S3, EMR, Glue, Redshift), Apache Spark, Kafka, Airflow, Snowflake, Databricks
Responsibilities
Design and maintain robust batch and streaming data pipelines connecting procurement, WMS, and logistics networks; Model complex supply chain domains into clean analytical datasets; Develop real-time data integrations for inventory and shipment tracking; Partner with Data Scientists to operationalize forecasting and optimization models; Ensure high data quality and lineage for operational dashboards; Instrument and monitor production systems
Seniority
Senior, hands-on IC
