data engineer for sales and revenue

Zalando is a European technology platform for fashion and lifestyle.

• Transform raw data into structured, analysis-ready formats using SQL and ensure data quality and integrity across pipelines
• Design and maintain flexible, robust data models for analytics, reporting, and operational needs across ZMS and Zalando
• Define and uphold data product quality standards, including SLAs, data contracts, monitoring, and incident response
• Understand the needs of operators, analytics partners, and financial stakeholders and translate them into accurate, timely, useful data products
• Drive team-wide data quality standards, run reviews, and support engineers and analysts in developing their data skills

• Fluent in dbt, SQL, and Python, with a track record of turning raw data into reliable, production-ready assets
• Experience owning data products end-to-end and setting high quality standards
• Strong DevOps practices, including infrastructure as code, CI/CD pipelines, and deployment automation
• Ability to engage directly with stakeholders and build practical tools based on their needs
• Ability to design modular data models that scale with evolving business needs
• Hands-on experience with cloud-native setups and platforms such as Databricks or AWS
• Ability to maintain data quality using dbt tests, data contracts, or custom frameworks
• Ability to explain complex technical details clearly to non-technical partners
• Будет плюсом: Experience building data infrastructure for ML or AI workflows

• 27 Days of holiday per year initially for full-time employees, plus 1 day per calendar year up to 30 days
• 40% Discount on fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, and discounts from external partners
• Family support, including counselling and dedicated services for parents and carers
• Company pension scheme
• Employee shares programme
• Health and wellbeing options, including Wellhub
• Mental health support and coaching
• Development through a training platform and biannual peer-to-peer review
• 2 Paid volunteering days per year