Data Engineer - Partner Tech (all genders)

at  Zalando

THE ROLE & THE TEAM

Zalando Partner Tech is the technology organisation within Zalando responsible for sourcing fashion products and consumer goods into Zalando. Through our platform and tools, we provide a wide range of products to customers all over Europe. The organisation is composed of more than 300 talented individuals who are dedicated to creating the best platform and inspiring opportunities for multi million euro fashion brands and physical retail stores, connecting them with consumers across multiple European markets.
As a Data Engineer within Partner Tech, you will get the opportunity to build a new data platform from the early stages together with your team. You will work in a welcoming and inclusive team of data engineers and software engineers, based in Berlin.
You will be responsible for the collection, transformation, and visualisation of data, consumed by Zalando Partners and internal users. You will communicate frequently with your team’s stakeholders to understand and react to their needs in order to raise the data capabilities of all of Partner Tech.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Be in the driver’s seat. You enjoy being proactive, addressing intricate business problems and taking the initiative to independently explore and understand them.
Proactively look for ways to enhance existing tooling and processes.
You will support the implementation of a reliable and performant data infrastructure that integrates with internal and 3rd party tools.
Collaborate with diverse teams of talented data analysts, applied scientists, business analysts, product managers, and software engineers to implement and maintain high-performance data-processing and data integration systems on top of lake house architecture.
Work with senior data engineers, and peers in central data platform teams to develop the system architecture and ensure seamless integration into Zalando’s central data platform.
Establish and enforce data quality standards throughout the ETL process.
Set up mechanisms to proactively identify and address potential issues before they impact data integrity.