Senior Data Platform Engineer (Central Data Lake) (all genders)

Role The Data Platform organization provides Zalando with a reliable and secure environment for storing and processing data. We drive data engineering productivity and data security through interoperable services for data transformation, storage, serving, exchange, and orchestration, as well as data access management, metadata management, and data discovery. Within the Data Platform organization, the Data Repository team manages the petabyte-scale Data Lake and Mesh of Zalando, providing pipelines and tooling to ensure security and compliance. Responsibilities - Work within Zalando's Central Data Lake team providing mission-critical data services for the whole Zalando group. - Design, build and maintain data pipelines that materialize event streams to Zalando's Central Data Lake. - Design, build and maintain services that ensure the security, compliance and reliability of Zalando's Data Platforms and Systems. - Support strategy and come up with innovative ideas to build world-class data transformation systems one step ahead of the industry. - Consult and help diverse teams across the Zalando group to develop, implement and maintain sustainable, high-performance, and scalable data-processing and data integration systems. Qualifications - More than 5 years of experience in designing and developing data processing and data platform services. - Experience in operating data processing and data platform services in production. - Experience with Apache Spark or other distributed data processing frameworks (e.g. Flink, Beam). - A track record in using and promoting software development best practices such as source control, continuous integration and continuous deployment, test-driven development and elastic cloud architectures (AWS, Google Cloud or Azure). - Proficiency in at least one of the languages: Go, Python, Scala, Java, and comfort working with SQL. - Strong understanding of distributed data platform architecture and technologies that enable a diverse set of data users to work efficiently with data. - Ability to work cross-functionally with multiple stakeholders, and/or train and consult other engineers and analysts on complex technical topics. - Experience optimizing cloud resources and data pipelines for cost efficiency. What We Offer Zalando provides a range of benefits, including: 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days); 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners; family support, including counselling and dedicated services for parents and carers; company pension scheme; employee shares programme; health and wellbeing options, including Wellhub; mental health support and coaching; development through a training platform and biannual peer-to-peer review; 2 paid volunteering days a year; relocation assistance (subject to prior agreement).