Senior Data Engineer
Core
Design and maintain real-time and batch data pipelines for direct-to-consumer food logistics, inventory management, and manufacturer partner analytics.
Role type
Senior embedded data engineer (logistics/supply chain)
Builds
Data pipelines and warehouse architecture for the Parcels direct-delivery business
Domain
Food waste reduction / Logistics / Supply Chain
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, AWS Redshift, Airflow, dbt, Terraform, DataOps, CI/CD
Preferred skills
Experience with streaming or batch data applications, modern data warehouse internals
Technologies
Airflow, Python, dlt, AWS (Redshift, Lambda, Kinesis, S3, Glue), dbt, Metaflow, Terraform, GitHub Actions, Docker
Responsibilities
Design and build real-time and batch data pipelines for logistics and inventory; Drive automation of manual supply chain processes; Partner with Product Managers and Tech Leads to translate operational needs; Serve as the link between the Parcels team and central Data Platform; Ensure high data availability, low latency, and strong data governance.
Seniority
Senior, hands-on IC
