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# Data Engineer (All genders)

- **Company:** Zalando SE
- **Location:** Berlin, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Profiling, Data Architecture, Information Engineering, Data Systems, Python (Programming Language), Raw Data, Software Engineering, Freeform SQL, Apache Spark, Build Management, Data Lakes, Core Data, Data Pipelines, Databricks
- **Published:** July 22, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=3a01c0b7f5794e41

## About the Role

* 3+ years of experience in Data Engineering with a focus on Python and Apache Spark.
 * Expert-level skills in writing, profiling, and optimizing complex SQL queries.
 * Strong foundation in data modeling and designing scalable, resilient end-to-end data architectures.
 * Hands-on experience architecting data assets on AWS utilizing Databricks (including Delta Lake, Unity Catalog, and cost-optimization strategies).
 * Proven track record of deploying production-grade systems using Apache Airflow and automated CI/CD pipelines.
 * Strong collaboration and communication skills.
 * Bonus: A practical interest in Agentic Data Engineering-using AI tools/agents to automate and accelerate the software development lifecycle of data pipelines.

## Description

At Zalando, we deliver a tailored marketplace experience driven entirely by data. The Customer Insights Engineering team plays a critical role in optimizing the onsite experience for our 50M+ active customers. We build curated data products that track customer journeys and engagement across all digital touchpoints-ensuring that data remains the primary catalyst for innovation across our platform., We are looking for an experienced Data Engineer to join our data community. In this role, you will design, scale, and maintain end-to-end engineering solutions-including advanced data pipelines, curated data products, and core platform infrastructure-to accelerate our journey from raw data to actionable insights.

WHERE YOUR EXPERTISE IS NEEDED

 * Design and build foundational curated data products and reusable data models for analytics and data practitioners across Zalando.
 * Develop infrastructure and tooling that enable teams to query data, develop, and deploy pipelines in a reliable and automated way.
 * Champion operational excellence by building and maintaining observability, health checks, and automated reliability tooling for our core data systems.
 * Establish frameworks and engineering best practices that raise the bar for technical rigor, modular architecture, and speed to insights.
 * Collaborate with infrastructure, data, and security teams to ensure all data systems are secure, compliant, and production-grade by default.


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