Data Engineer, Operations Technology (all genders)

HelloFresh
Warsaw
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Communication","Ownership","Bias to ship"]

Own the end-to-end data lifecycle for HelloFresh’s supply chain operations, designing batch and real-time pipelines that connect procurement, WMS, and logistics systems. Model complex supply chain entities into scalable analytical datasets and build real-time integrations for inventory, order assembly, and shipment tracking. Partner with data scientists and operations stakeholders to operationalize forecasting and waste-reduction, ensuring high data quality, lineage, and production monitoring using AWS and modern streaming/ETL tools.

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FursaFursa
HelloFresh
HelloFresh
4 days ago

Data Engineer, Operations Technology (all genders)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own the end-to-end data lifecycle for HelloFresh’s supply chain operations, designing batch and real-time pipelines that connect procurement, WMS, and logistics systems. Model complex supply chain entities into scalable analytical datasets and build real-time integrations for inventory, order assembly, and shipment tracking. Partner with data scientists and operations stakeholders to operationalize forecasting and waste-reduction, ensuring high data quality, lineage, and production monitoring using AWS and modern streaming/ETL tools.
Location: Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Take technical ownership of the end-to-end data lifecycle: architecture, pipeline design, production development, and continuous operations.
  • •Design, build, and maintain high-throughput batch and streaming pipelines connecting procurement systems, WMS, and logistics networks.
  • •Model complex supply chain domains into clean, scalable analytical datasets for analytics and operational processes.
  • •Develop real-time data integrations for inventory levels, order assembly status, and carrier shipment tracking across distribution centers.
  • •Ensure high data quality, freshness, and lineage tracking for dashboards, KPIs, and automated logistics alerts; instrument, monitor, and improve systems in production.

Key Requirements

  • •3+ years of work experience as a Data Engineer, delivering production data.
  • •Fluency in Python, SQL, and PySpark to build scalable ETL/ELT pipelines on cloud infrastructure.
  • •Strong data modeling expertise for physical supply chain or logistics domains (dimensional modeling, relational architecture, event-driven streams).
  • •Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation.
  • •Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS.
Experience:3+ years
Education:
Skills:CommunicationOwnershipBias to ship
Tech Stack:AWSS3EMRGlueRedshiftApache SparkPySparkKafkaAirflowSnowflakeDatabricksPythonSQLGitCI/CDDockerDimensional modelingETLELTStreaming

Company Brief

HelloFresh
HelloFresh is a meal-kit and food subscription company that delivers fresh ingredients and recipes to consumers, offering convenient home-cooked meals through weekly subscription boxes across multiple international markets.
Industry: FoodTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn