Experienced with advanced skills in Python, Java or Scala and detailed knowledge of PostgreSQL, MySQL and/or Oracle.
Ambitious in optimizing and researching how Spark, Kafka, Hadoop (HDFS, Hive), Flink, Cassandra and other distributed systems can work together at scale. You come up with entirely new ideas to build world-class data integration systems one step ahead of the industry.
Motivated in making a positive impact on our engineering culture and encouraging knowledge sharing. You think big-picture, and constantly evaluate our work and processes to challenge us.
Forward Thinking in your ability and interest in translating business requirements into technological visions, and reimagining data-processing technologies.
Looking beyond current status quo and moving the industry forward.
Ready to critically review and present your ideas and the results of your work inside the company and to the broader international audience on conferences and meetups.
Large-scale applications on PaaS/SaaS cloud (AWS and Google Cloud);
Based on our microservices architecture;
Culture. open source commitment, trust and empowerment, Meetups, +170 self-organized technical and fun guilds, product demos, Coderdojos, parties and events.
Perks. Competitive salary, 40% Zalando shopping discount, discounts from external partners, public transport discounts, relocation assistance for internationals, free drinks, and fruits, the hardware of your choice.
Development. Tour of Mastery, extensive onboarding, personal branding support, technical trainings, opportunity to attend and speak at conferences.
Work Environment. Self-organized, autonomous teams and flexible working hours.
As a Senior Data Engineer at Zalando, you’ll act as a connector between our data teams and the rest of our diverse engineering department. You will choose emerging technologies and approaches to create high-performance data processing solutions that scale. You will challenge our status quo and help us define best practices for how we work by designing data-intensive applications. Our data teams aim to solve the specific problems of a very data-driven company that has already begun the journey to become a platform.