WE’D LOVE TO MEET YOU IF…

You have over 3 years of experience in building and operating data processing pipelines at scale
You have over 3 years of hands on experience with Spark, and performance tuning
You have over 3 years of experience in deploying big data processing pipelines in cloud environments such as AWS EMR and Databricks
You have experience with databases such as dynamodb and Redis
You have solid programming skills in Scala and Java, golang is a plus
You have strong capability to research, self-learn, and develop deep expertise in your area
You have a good understanding of modern data engineering practices, including data modeling, data architecture, pipeline as a code, data observability
You have experience with GCP, AWS Lambda, Kafka or AWS Kinesis (as a plus)

THE ROLE & THE TEAM

As a Data Engineer, you will contribute to the creation and delivery of software products that enable Zalando’s internal Software Engineers and Data Engineers to protect the personal data of millions of Zalando customers at rest, in use, and in transit.
As part of this critical technology team, you will play a key role in understanding the needs of our stakeholders and help shape the future of the platform. You will be building, operating, improving, and extending the data protection platform, supporting integration with thousands of datasets within Zalando.

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

Refine and evolve our data platform, ensuring efficiency and scalability
Identify and address performance bottlenecks, optimizing code and improving overall system efficiency
Write code that is modular, readable, easily testable, and maintainable
Work with senior data engineer, and peers in the team to evolve the system architecture and ensure seamless integration with thousands of datasets
Contribute to improving code quality and best practices, including active participation in code reviews