Senior Data Engineer, Menu Personalization
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 Team
Menu Personalization decides what millions of customers see when they open HelloFresh each week. The team owns the recommender systems that match customers to recipes across our global markets, and brings together Data Scientists, Backend Engineers, Data Engineers, ML Engineers, and Product to take ideas from experiment to production. The work directly shapes customer experience and business growth: when personalization gets better, customers find recipes they love faster, and HelloFresh becomes a stronger weekly habit.
About the role: What's in the Box
This position is for an expert in building large-scale data and ML platforms. You will join a high-impact team of data scientists and engineers, focusing exclusively on menu personalization. As a Senior Data Engineer, you will play a pivotal part in designing, implementing, and operating the data pipelines and feature platform that power personalized recommendation algorithms for culinary products across global markets.
You will have a tangible impact on customer experience and business growth by ensuring the data and ML infrastructure that fuels personalization is reliable, performant, and easy to build on. You will work closely with Data Scientists to take models from notebook to production, partner with Backend and ML Engineers on online inference paths, and shape how the team manages features and training datasets at scale. Success in this role requires a curious mindset, the ability to prioritize problem statements, and the expertise to translate ML requirements into robust data systems.
At HelloTech, flexibility and cross-functional collaboration are core to how we work. 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
Become an integral part of a high-impact team covering menu personalization.
Design, build, and operate batch and streaming data pipelines that power model training and real-time inference.
Build high-quality, well-modeled data pipelines for analytical purposes, enabling reliable reporting, experimentation analysis, and self-serve insight across the team.
Build and evolve the team's Feature Store, ensuring point-in-time correctness for training and low-latency online serving.
Partner with Data Scientists to operationalize recommender models, embeddings pipelines, and continuous retraining.
Make ML systems observable through data quality checks, training/serving skew detection, and lineage.
Work with state-of-the-art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, and Claude (AI).
Collaborate closely within other functions (data science, ML engineering, backend engineering, product) to translate business objectives into concrete data infrastructure.
Contribute to a collaborative and knowledge-sharing environment, providing technical guidance and coaching to team members and stakeholders.
What you'll bring: The Ingredients
Proven track record of scientific or engineering work (Bachelor's, Master's, or PhD) in computer science, software engineering or related field.
5+ years of work experience as a Data Engineer, including delivery of production data.
Fluency in Python and PySpark and building large scale high quality data pipelines on a modern cloud stack
Technical proficiency in SQL for retrieving, manipulating, and analyzing large datasets.
Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS.
Expertise in leveraging Generative AI tools (e.g., Claude, Copilot) to support development, experimentation, and documentation.
Exceptional communication capabilities to interact effectively with Data Scientists, ML Engineers, product managers, and business stakeholders.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don't "tick all the boxes" but think you'd thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
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 chain operations.
Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we'd be excited to hear from you. We aim to review your profile and respond within 5 business days.
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