Data Engineer - Global Data Products

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 and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

• Meaningful experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) as part of your regular workflow, using AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code
• Strong understanding of engineering fundamentals and the ability to design, implement, and deliver maintainable and high-quality code
• Proficiency in SQL and the Python stack
• Demonstrated ability to use Generative AI tools (Copilot, Gemini, etc.) to accelerate data engineering tasks like scripting, query optimization, and documentation
• A continuous-learning mindset with an active interest in how AI is reshaping modern data stacks and architectures
• Strong written and verbal communication skills; the ability to build effective communication structures in a fast-growing engineering organization
• Bonus points: Treating data quality issues as engineering problems to solve; experience debugging Spark pipelines; and demonstrated experience with data modeling techniques

• Build and maintain complex and scalable ETL pipelines
• Work closely with the data producers and software developers
• Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
• Drive data quality and governance
• Collaborate with the cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.
• Review as a technical expert the implementations of multiple teams, continuously improving technical deliverables.