Data Engineer: Sales&Revenue Data (all genders)
Posted on October 3, 2026
Berlin
Posted on October 3, 2026
About this role
Role: Data Engineer within the Sales and Revenue Data team at ZMS. You will take ownership of the integrity and excellence of data products, champion a robust data culture, and collaborate across engineering, analytics, and business units to transform data streams into the definitive source of truth for campaign effectiveness, financial reporting, and strategic vision.
Responsibilities:
- Master Data Transformation: Use SQL to transform raw data into structured, analysis-ready formats, ensuring data quality and integrity across pipelines.
- Design Data Models: Design and maintain flexible, robust data models for analytics, reporting, and operational needs.
- Own Data Reliability: Define and uphold quality standards for data products, including SLAs, data contracts, monitoring, and incident response.
- Champion the Customer: Understand needs of operators, analytics partners, and financial stakeholders, and translate them into accurate, timely, useful data products.
- Elevate Data Culture: Set data quality standards, drive reviews, and help engineers and analysts grow their data craft.
Qualifications:
- Fluent in dbt, SQL, and Python, with a track record of turning messy raw data into reliable, production-ready assets.
- Experience owning data products end-to-end, understanding failure points and quality standards.
- Strong DevOps habits: infrastructure as code, CI/CD pipelines, automated deployments.
- Ability to communicate directly with stakeholders to uncover needs and build practical tools.
- Design for long-term scalability with modular data models.
- Comfortable in cloud-native setups, with experience on platforms like Databricks or AWS.
- Treat data quality as non-negotiable, using dbt tests, data contracts, or custom frameworks.
- Translate complex technical details into clear, simple language for non-technical partners.
- Nice to have: Experience building data infrastructure supporting ML or AI workflows.
What We Offer:
- 27 days of holiday per year (increasing by 1 day per calendar year up to 30 days)
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, and external partner discounts
- 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 training platform and biannual peer-to-peer review
- 2 paid volunteering days per year
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