Data Engineer Data Governance & Data Quality (all genders)

Zalando

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profile Job Location:

Berlin - Germany

profile Monthly Salary: Not Disclosed
Posted on: 10-10-2025
Vacancies: 1 Vacancy

Job Summary

THE ROLE AND THE TEAM

As a Data Engineer in Data Management you will play a pivotal role in shaping the foundation of Zalandos central data platform. Together we build secure scalable and efficient solutions making Zalandos petabytes of data easily reusable and accessible to all our internal users. Your primary focus will be designing developing and maintaining high-performance data pipelines for our data governance products.

INCLUSIVE BY DESIGN

At Zalando our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity sexual orientation personal expression ethnicity religious belief or disability status. You are welcome to leave out your picture age or marital status from your application. We only assess candidates on their qualifications and merit.


We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need so we can best support you throughout the hiring process.

- our diversity & inclusion strategy: employee resource groups:

WHAT WED LOVE YOU TO DO (AND LOVE DOING)

  • Work within Zalandos central Data Management team responsible for data management services across the entire Zalando group.

  • Follow Data Mesh principles and collaborate with diverse teams of talented engineers data scientists and analysts to grow and drive innovation in data management and data governance activities bringing to life Zalandos data strategy.

  • Closely collaborate with Product Managers in our team to identify potentials to optimise our data governance products and data quality processes and tools.

  • Provide self-service and automated data quality processes for the Zalando central data quality platform reducing manual intervention and improving overall efficiency.

  • Facilitate decision making by writing carefully crafted narrative documents which clearly communicate the rationale in an easily digestible and professional manner.

  • Contribute to a culture of continuous learning and growth within the team.

WED LOVE TO MEET YOU IF

  • You have 4 years of professional experience in software design operational excellence and analytical problem-solving.

  • Are experienced with the AWS ecosystem including S3 Redshift and AWS role and token management.

  • Experienced in Databricks (PySpark Python Workflows) Delta format REST APIs.

  • Communication and collaboration: share your knowledge grow from feedback communicate with empathy.

  • You thrive in a collaborative fast-paced environment and are adept at managing multiple priorities and initiatives simultaneously.

OUR OFFER

Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

  • Employee shares program

  • 40% off fashion and beauty products sold and shipped by Zalando 30% off Zalando Lounge discounts from external partners

  • Two paid volunteering days a year

  • In a hybrid working model with 60% remote per week actual practice is up to each team to best support their collaboration

  • Work from abroad for up to 30 working days a year

  • 27 days of vacation a year to start

  • Relocation assistance available (subject to prior agreement)

  • Family services including counseling and support

  • Health and wellbeing options (including Gympass)

  • Mental health support and coaching are available

  • Drive your development through our training platform and biannual peer-to-peer review

Learn all about Zalando and our values here:

THE ROLE AND THE TEAMAs a Data Engineer in Data Management you will play a pivotal role in shaping the foundation of Zalandos central data platform. Together we build secure scalable and efficient solutions making Zalandos petabytes of data easily reusable and accessible to all our internal users. Y...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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