Senior Data Engineer - Lounge by Zalando (all genders)

Role: Lounge by Zalando is a rapidly growing part of Zalando's business. As a Senior Data Engineer, you will work alongside backend engineers and data scientists to build large-scale recommender systems. You will play a key role across the entire ML lifecycle, from designing batch/streaming data to efficient model training and distribution. You will input into architectural decisions and implement modern recommender algorithms. The role combines milled data and ML complexity. Emphasis on collaboration: the team values adaptability and input beyond area. Responsibilities: - Design, build, and optimize large scale ETL, data and batch processing pipelines. - Implement Data high-throughput/low-latency data stores for real-time data. - Implement Data governance to ensure data data quality. - Improve ML data infrastructure, such as Framework, experimentation. - Build with Data, Data, Engineers, Analysts across Zalando. - Help define Data objectives, improve self-organization for the team. Qualifications: - Strong experience applying software engineering and data management. Data pipelines with high-quality code, not just SQL. -3+ years of data engineering experience, data distributed data processing. - Ability and optimization slow-optimal data. - data batch and kafka data (data e.g. Spark, Hadoop (OMO,2, Kafka, Operations. High-throughput data stores (Ddata DB).. What Offer: - Employee data sharing. Data 40% off fashion products. Data 2 paid data days. Data 20 data, up to 60% remote per week. Work from abroad and up 30 days. Data 27 days of-eat. Data* data data data data=, data for data. data.