About the company
HelloFresh is a global food solutions company, and its HelloTech organisation is the technology backbone with more than 1000 people, building digital products that power the end-to-end food experience. The Supply Chain Data Engineering team powers the operational backbone across global markets, harmonizing supply chain data to enable data-driven decision-making.
Responsibilities
- 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 into clean, scalable analytical datasets.
- Develop real-time data integrations for tracking inventory, order assembly, and carrier shipment.
- 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 and KPIs.
- Work with modern cloud data technologies such as AWS (S3, EMR, Glue, Redshift), Apache Spark/PySpark, Kafka, Airflow, Snowflake, and Databricks.
- Collaborate with cross-functional stakeholders in Procurement, Fulfillment Operations, Logistics, and Product.
- Contribute to a collaborative environment, providing technical guidance and coaching.
- Operate what you build, instrumenting and monitoring systems in production.
Requirements
- Hands-on experience with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation.
- Bachelor's, Master's, or PhD in computer science, software engineering or related field.
- 3+ years of work experience as a Data Engineer, including delivery of production data.
- Fluency in Python, SQL, and PySpark for building scalable ETL/ELT data pipelines.
- Strong data modeling expertise (dimensional modeling, relational architecture, event-driven data streams) applied to supply chain or logistics.
- Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS.
- Exceptional communication skills to bridge technical details with business stakeholders.
- Take full ownership and have a bias to ship.