Zalando

Data engineer of recommender systems

Stellenbeschreibung:

Описание:

Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation. You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale.

Задачи:

  • Design, build, and optimize large-scale ETL, stream, and batch processing pipelines.
  • Implement and maintain high-throughput/low-latency data stores (e.g., for real-time recommendations).
  • Implement and improve data governance mechanisms to ensure data quality and reliability.
  • Accelerate the pace of innovation by building and improving ML infrastructure, such as training and evaluation frameworks, experimentation frameworks.
  • Collaborate with brilliant Product Managers, Data Scientists, Engineers, and Analysts across Zalando to create positive customer impact together.
  • Help define our team's objectives.
  • Continuously improve the self-organization of the team.

Требования:

  • Strong experience applying software engineering principles to data management systems.
  • You should be proficient in building robust, scalable data infrastructure using high-quality code — not just SQL.
  • 3+ years of experience in data engineering projects.
  • Good understanding of distributed data processing mechanisms.
  • You should be able to diagnose and optimize a slow-running data pipeline.
  • Experience with large-scale batch processing and/or stream processing (e.g. Spark, Hadoop, Flink, Storm, Apache Beam, Kafka.)
  • Proficient in either Python or Java.
  • Будет плюсом: A strong understanding of distributed databases, especially high-throughput/low-latency data stores (e.g. DynamoDB, Cassandra, or Redis), is highly valued

Условия:

  • Employee shares program 40% off fashion and beauty products sold and shipped by Zalando
  • 30% off Zalando Lounge
  • discounts from external partners
  • 2 paid volunteering days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review
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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    19 Okt 2026
  • Standort:

    Berlin

    Einsatzort:

    Lahr
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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