- Location
- Berlin, Germany
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Workday
Description
THE ROLE & THE TEAM
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.
WHAT WE ARE LOOKING FOR
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.
PERKS AT WORK
27 days of holiday per year to start for full-time employees, increasing by one day per calendar year up to 30 days.
2 paid volunteering days per year.
Employee shares program.
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, and discounts from external partners.
Relocation assistance available (subject to prior agreement).
Family services, including counseling and support.
Health and wellbeing options (including Wellhub, formerly Gympass).
Mental health support and coaching available.
Drive your development through our training platform and biannual peer-to-peer review.
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 23 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 52 million active customers through diverse skill-sets, interests and languages our teams choose to use.
