Senior Data Engineer — Lounge by Zalando
RELOCATION TO GERMANY
Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
- Design, build, and optimize large-scale ETL, stream, and batch processing pipelines.
- Implement and maintain high-throughput/low-latency data stores (e.g., for real-time recommendations).
- Implement and improve data governance mechanisms to ensure data quality and reliability.
- Accelerate the pace of innovation by building and improving ML infrastructure, such as training and evaluation frameworks, experimentation frameworks.
- Collaborate with brilliant Product Managers, Data Scientists, Engineers, and Analysts across Zalando to create positive customer impact together.
- Help define our team's objectives. Continuously improve the self-organization of the team.
WE’D LOVE TO MEET YOU IF
- Strong experience applying software engineering principles to data management systems. You should be proficient in building robust, scalable data infrastructure using high-quality code — not just SQL.
- 3+ years of experience in data engineering projects.
- Good understanding of distributed data processing mechanisms. You should be able to diagnose and optimize a slow-running data pipeline.
- Experience with large-scale batch processing and/or stream processing (e.g. Spark, Hadoop, Flink, Storm, Apache Beam, Kafka.)
- Proficient in either Python or Java.
- A strong understanding of distributed databases, especially high-throughput/low-latency data stores (e.g. DynamoDB, Cassandra, or Redis), is highly valued.
