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As a Backend Engineer (Data Science / ML) in Zalando Partner Tech, you will be responsible for developing, monitoring, and maintaining backend microservices using Databricks with Apache Spark, JVM based technologies, AWS, and Kubernetes at scale. Beyond core backend engineering, you will also engage with Data Science and Machine Learning topics, bridging the gap between high-performance code and intelligent, data-driven solutions. We will support your growth and provide opportunities to work with modern technologies and drive innovation. Your input will be valued as we work together to improve and evolve our services to the next level. Partner Tech is at the heart of Zalando’s partner business, generating 34% of our total revenue. Our mission is to empower partners, from multi-million euro fashion brands to physical retail stores, by building a robust, scalable, and intuitive platform. This platform seamlessly connects with 50 million customers, and together with our partners, we fulfill more than 200 million orders every year.
Job Responsibility:
Design and implement predictive delivery models using Databricks with Apache Spark, translating complex data into real-time backend insights
take ownership of new features, take them from idea to technical design, and from technical design to cross system implementation
help us to be a better team by continuously reflecting upon our ways of working and suggesting improvements
actively participate in the entire product development lifecycle, from initial concept and design through to development, testing, deployment, and operation
taking full ownership of your features and their impact on our partners
proactively identify and solve complex technical challenges, always approaching problems with a "Partner First" mindset to deliver solutions that simplify their daily operations
Requirements:
Solid command of Kotlin
additional JVM based languages (Scala or Java)
knowledge of software patterns and paradigms like continuous integration, test automation and deployment pipelines
strong command of Databricks with Apache Spark
comfortable taking the model from a notebook and wrapping it in a high-performance Kotlin microservice deployed on Kubernetes
Backend Engineer at heart with a strong interest (or foundational experience) in Data Science, Applied AI, or Machine Learning
enjoy working with large datasets and have a solid understanding of how data structures impact the performance of ML-driven applications
experience in specifying, planning, developing, maintaining and operating microservices using REST API (OpenAPI), Cloud Platforms (AWS, Kubernetes), PostgreSQL
good communication and collaboration skills
enjoy working in an international and diverse environment with a positive no-job-is-beneath you attitude as a team player
self-motivated and have a proactive mindset with a passion for continuous improvement
problem-solving skills and ability to apply logical and analytical thinking to complex problems
What we offer:
Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups
knowledge sharing through tech talks and open source commitment
internal tech academy and blogs, product demos, meetups, parties and events
competitive salary and employee shares program
40% Zalando discount of products sold and shipped by Zalando
30% off Zalando Lounge and additional discounts from external partners
monthly transport, lunch and recreation vouchers
private health insurance and occupational health care services
family services
free beverages and snacks
diverse sports and health offerings
centrally located office in Kamppi, Helsinki with flexible working times
additional holidays and hybrid working model
extensive onboarding, mentoring and training opportunities