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описание
Zalando is Europe’s leading online platform for fashion, connecting customers, brands, and partners across 23 markets. It develops digital solutions for fashion, logistics, advertising, and research, serving more than 52 million active customers.
задачи
Design and build foundational curated data products and reusable data models for analytics and data practitioners across Zalando;
Develop infrastructure and tooling that enable teams to query data, develop, and deploy pipelines reliably and automatically;
Build and maintain observability, health checks, and automated reliability tooling for core data systems;
Establish frameworks and engineering best practices for technical rigor, modular architecture, and faster access to insights;
Collaborate with infrastructure, data, and security teams to ensure data systems are secure, compliant, and production-grade by default.
требования
Have 3+ years of experience in Data Engineering with a focus on Python and Apache Spark;
Demonstrate expert-level skills in writing, profiling, and optimizing complex SQL queries;
Have a strong foundation in data modeling and designing scalable, resilient end-to-end data architectures;
Have hands-on experience architecting data assets on AWS using Databricks, including Delta Lake, Unity Catalog, and cost-optimization strategies;
Have a proven track record of deploying production-grade systems using Apache Airflow and automated CI/CD pipelines;
Demonstrate strong collaboration and communication skills;
Nice to have: A practical interest in Agentic Data Engineering and using AI tools or agents to automate and accelerate the software development lifecycle of data pipelines.
условия
27 Days of holiday per year to start for full-time employees, increasing by one day per calendar year up to 30 days;
2 Paid volunteering days per year;
Employee shares program;
40% Off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, and discounts from external partners;
Relocation assistance available, subject to prior agreement;
Family services, including counseling and support;
Health and wellbeing options, including Wellhub, formerly Gympass;
Mental health support and coaching available;
Training platform and biannual peer-to-peer review.