Senior Data Engineer - Lounge by Zalando (all genders)

Senior Data Engineer at Lounge by Zalando responsible for designing, building, and optimizing large-scale ETL, stream and batch processing pipelines, and implementing high-throughput data stores for real-time recommender systems. Role involves maintaining ML pipelines across the ML lifecycle, enabling efficient model training and distribution, and collaborating with Product Managers, Data Scientists, Engineers, and Analysts to deliver measurable business impact. Key skills include experience with distributed data processing (Spark, Hadoop, Flink, Storm, Apache Beam, Kafka), proficiency in Python or Java, and strong understanding of high-throughput/low-latency data stores (DynamoDB, Cassandra, Redis) along with data governance mechanisms. Additional responsibilities include defining team objectives, improving self-organization, and contributing to ML infrastructure and evaluation frameworks. Relocation assistance is available, and the role offers hybrid work with up to 60% remote per week and the possibility to work from abroad for up to 30 working days a year.