Senior Data Engineer, Active Journey Alliance (m/f/x)

HelloFresh

Benefits
Special Commitments
Skills

Join our R&D Tech Hub in Wroclaw

HelloFresh Group, the world’s leading integrated food solutions provider, is expanding with a new R&D Tech office in Poland. With brands offering meal kits, ready-to-eat meals, and specialty products such as meat, seafood, and pet food, we are seeking individuals who are ready to make an impact from day one. Joining us in Wrocław means shaping the culture, working on meaningful R&D Tech projects, and contributing to a global company changing how people eat.

Working at HelloFresh

At HelloFresh Group, we are driven by a high-performance culture that values speed, agility, and continuous learning. We believe in hands-on contribution and fostering a truly collaborative, egoless environment where every team member contributes to our mission of changing the way people eat, forever and welcome team players who thrive in a dynamic environment, lead with ownership, and bring diverse perspectives to the table.

Our teams thrive on in-person collaboration, with an expectation to work from the office four days a week. This approach creates a dynamic space where ideas flourish, decisions are made efficiently, and our collective impact is accelerated. It's how we stay closely connected to our shared goals and drive swift execution.

What you’ll do

  • Take ownership of 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 active, solution-oriented member of 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, and act as ambassador for software solutions offering support and mentorship 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 our in-house Data Pipeline tools

What you’ll bring

  • Strong background in software engineering with a focus on writing clean, maintainable Python code
  • Proficient in working with cloud platforms and data technologies such as PySpark, Kubernetes, and Kafka
  • Skilled in designing scalable data models and working with relational databases (e.g., PostgreSQL) and object stores (e.g., AWS S3)
  • 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
  • A collaborative team player who actively mentors others, stays curious, and is eager to learn and share new trends

What we offer

  • Health - You’re covered from your first day with private health insurance
  • Hybrid Working Schedule- We work in-office 4 days a week to align on goals, with flexible hours to support work-life balance and personal needs
  • Holidays - You receive 26 days of paid vacation each year, providing you time to rest and recharge
  • Learning and Development - An annual Learning & Development budget and a Mentoring Program to support your ongoing professional growth
  • Employee Referral Program - Our team members can participate in our internal employee referral program and receive a bonus for recommending successful candidates to open roles
  • Daily Comforts - Free coffee, drinks, and fresh fruit are available to keep you refreshed throughout the day

If you are passionate about making a tangible impact and thrive in a fast-paced environment where your work directly contributes to a global purpose, we encourage you to apply – even if your experience doesn't tick every single box, we believe there are many ways to develop skills and grow with us.

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Confirmed 2 hours ago. Posted 2 days ago.

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