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. About the role: What's in the Box The Global Data Products team is a cross-functional unit that integrates data engineers and data analysts. The objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics. As a Data Engineer, the service provider will collaborate to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka, etc.). This involves driving continuous improvement to current data processing workflows while engaging with data producers and consumers to align business requirements with the roadmap. This role does not include people management responsibilities. At HelloTech, flexibility and cross-functional collaboration are core to the delivery of services. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects. What you’ll do: The Recipe 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. What you’ll bring: The Ingredients Agentic Engineering: Meaningful experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) as part of your regular workflow. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code. You are developing a feel for how the way you frame tasks for AI tools affects the quality of results, and for where AI assistance needs closer supervision. You are curious about how and why AI tools fail and are building habits around verification. Strong understanding of engineering fundamentals and the ability to design, implement, and deliver maintainable and high-quality code. Strong problem-solving acumen. Proficiency in SQL and the Python stack. 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. A team player attitude and a passion for advocating for best engineering practices, such as CI/CD, TDD, and Design Patterns. What we offer: The Toppings Global collaboration at scale: Collaborate with