Data Engineer, Operations Technology (all genders)Active
The opportunity
The Supply Chain Data Engineering team powers the end-to-end operational backbone of HelloFresh across our global markets. Our core mission is to harmonize supply chain data to enable seamless, data-driven decision-making across enterprise domains - including menu planning, procurement, fulfillment, logistics.
What you'll do
Become an integral part of a high-impact engineering team supporting global: supply chain, procurement, and logistics operations.
Design, build, and maintain robust batch and streaming data pipelines: connecting procurement systems, warehouse management systems (WMS), and logistics networks.
Model complex supply chain domains—including recipe component sourcing,: inventory turnover, fulfillment batching, and route optimization—into clean, scalable analytical datasets.
Develop real-time data integrations for tracking ingredient inventory levels,: order assembly status, and carrier shipment tracking across distribution centers.
Partner with Data Scientists and Operations Analysts to operationalize demand: forecasting models, waste reduction algorithms, and safety stock optimizations.
Ensure high data quality, freshness, and lineage tracking for operational: dashboards, executive KPIs, and automated logistics alerts.
What they're looking for
- Work with modern cloud data technologies such as AWS (S3, EMR, Glue,: Redshift), Apache Spark/PySpark, Kafka, Airflow, Snowflake, and Databricks.
- Collaborate closely with cross-functional stakeholders in Procurement,: Fulfillment Operations, Logistics, and Product to turn physical workflow requirements into data infrastructure.
- Contribute to a collaborative and knowledge-sharing environment, providing: technical guidance and coaching to team members and stakeholders.
- Work beyond your specialization when the problem demands it. Your: specialization is your anchor, not your boundary.
