Инженер данных

Lounge by Zalando is an online outlet for fashion and lifestyle products in more than 20 European countries. It offers members daily, time-limited sale campaigns with discounts of up to 75% off recommended retail prices and provides brand partners with innovative supply-chain and production solutions.

• Design, build, and optimize large-scale ETL, stream, and batch processing pipelines;
• Implement and maintain high-throughput, low-latency data stores for real-time recommendations;
• Implement and improve data governance mechanisms to ensure data quality and reliability;
• Build and improve ML infrastructure, including training, evaluation, experimentation, and model distribution frameworks;
• Collaborate with Product Managers, Data Scientists, Engineers, and Analysts across Zalando to create positive customer impact;
• Help define team objectives and continuously improve team self-organization;
• Contribute across the entire ML lifecycle, from preprocessing pipelines to model training and distribution for real-time recommender systems;
• Provide input into architectural decisions and help implement state-of-the-art ML recommender algorithms.

• Apply software engineering principles to data management systems;
• Build robust, scalable data infrastructure using high-quality code, not just SQL;
• Have 3+ years of experience in data engineering projects;
• Understand distributed data processing mechanisms and diagnose and optimize slow-running data pipelines;
• Have experience with large-scale batch processing and/or stream processing, such as Spark, Hadoop, Flink, Storm, Apache Beam, or Kafka;
• Be proficient in either Python or Java;
• Nice to have: strong understanding of distributed databases, especially high-throughput, low-latency data stores such as DynamoDB, Cassandra, or Redis.

• Employee shares program;
• 40% Discount on fashion and beauty products sold and shipped by Zalando, 30% discount on Zalando Lounge, and discounts from external partners;
• Two paid volunteering days per year;
• Work from abroad for up to 30 working days per year;
• 27 Days of vacation per year to start;
• Relocation assistance is available subject to prior agreement;
• Family services, including counseling and support;
• Health and wellbeing options, including Gympass;
• Mental health support and coaching;
• Training platform and biannual peer-to-peer review.