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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. 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. Whats 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, you 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. 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. The Ingredients 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. the ability to build effective communication structures in a fast-growing engineering organization. Treating data quality issues as engineering problems to solve; and demonstrated experience with data modeling techniques. 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 chain operations. Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit). If this sounds like a tasty opportunity, we’d be excited to hear from you.