Leider ist dieser Job nicht mehr aktiv

Originele vacaturetekst

Software Engineer, Data - Fashion Recommendations


The Fashion Recommendations Department is at the core of Zalando’s browsing experience and fashion discoverability. We play a key role in making Zalando the starting point of fashion by providing Machine Learned (ML) product recommendations that embed our customers’ fashion needs and wishes while understanding and reflecting their unique style, preferences and interests.

As a Software Engineer (Data) in the Fashion Recommendations Department, your role is key for the success of your team: you are responsible for the data pipelines that perform our model training and serve our real-time recommendations, you work closely together with Applied Scientists to optimise our models training times and serving latencies; you connect with our Platform team to ensure all the requirements for our new use cases are captured and collaborate in their implementation in our stacks.

You will be part of a talented cross-functional team made up of Applied Scientists, Data Engineers and Software Engineers. Together, and with the support of Product Managers and Designers, you create, design and deliver new features to serve our customers needs using ML recommendations.


  • Design and implement rock solid data and machine learning pipelines which power our product recommendation models at Zalando’s scale (~42M active customers and serving thousands of product recommendations per second).
  • Collaborate with the department’s Applied Scientists to optimise the training time and serving latencies of our ML recommendation models.
  • Take ownership of the operational excellence of our data architecture, looking for improvements in monitoring and our resilience.
  • Contribute to the team’s best practices around ETLs, data engineering, data governance and GDPR.


  • A degree in Computer Science, or related field of study, or equivalent practical experience.
  • Strong programming skills with Java or Scala and Python.
  • Experience in Agile Software Development, CI / CD, monitoring and scalability.
  • Experience with data processing (Spark, Databricks), orchestration (Airflow) and cloud technologies (AWS, Google Cloud or Azure).
  • Experience with data modelling and ETLs.


  • Production experience processing with very large datasets with millions of customers and tens of millions of data points.
  • Track record managing API / data schema evolutions.
  • Experience with AWS SageMaker and TensorFlow.
  • Experience in Kubernetes.
  • Experience working in a cross-functional team with Applied Scientist / Data Scientist, Product Managers and Designs delivering customer-facing products.
  • Culture of trust, empowerment and constructive feedback,open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy andblogs, product demos, parties & events
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Extensive onboarding, mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

Art des Stellenangebotes:


  • Es ist kein Abschluss erforderlich

Was wir bieten