Data Engineer: Sales&Revenue Data (all genders)

Posted on October 3, 2026
Zalando
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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