Data Product Engineer

HelloFresh is a global food solutions company, and its HelloTech organization is the technology backbone with more than 1000 people, building digital products that power the end-to-end food experience. They work in autonomous, cross-functional alliances, each owning a specific product or domain end to end.

• 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.

• 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).
• Basic understanding of Backend Development.
• Track record of building and optimizing efficient, reliable data pipelines.
• Committed to ensuring data quality, implementing monitoring practices, and maintaining high testing standards across the development lifecycle.
• Comfortable in agile environments, embracing fast iterations, lean principles, and continuous delivery.
• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.
• You take full ownership. You have a bias to ship. You finish the last twenty percent.
• You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence.

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chains.