Senior Data Product Engineer, Marketing Customer Profile (all genders)Active

HelloFresh
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The opportunity

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food…

What you'll do

  • Work on the end-to-end process, including architecture, design, development,: deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.

  • Be an active, solution-oriented contributor within autonomous,: cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams.

  • Demonstrate an in-depth understanding of HelloFresh’s core product and: architecture, acting as a technical expert for software solutions and offering support to colleagues.

  • Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka,: PySpark, Kubernetes, Airflow, Prefect, Tecton, Databricks, as well as in-house Data Pipeline tools.

  • Work beyond your specialization when the problem demands it. Your: specialization is your anchor, not your boundary.

  • Operate what you build. You instrument, monitor, and improve your systems in: production. Shipping is the beginning of the learning cycle, not the end.

What they're looking for

  • Hands-on experience working with AI tooling (e.g., Claude Code, Cursor,: Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work.
  • Strong background in data engineering with a focus on writing clean, maintainable Python code
  • Proficient in working with cloud platforms and data technologies such as: PySpark and Kubernetes. Streaming technologies is a plus.
  • Skilled in designing scalable data models and working with relational: databases (e.g., PostgreSQL) and object stores (e.g., AWS S3)