We are a fast-growing e-commerce service agency based in Berlin. Since 2013, we have been helping retailers, brands, and manufacturers unlock their full potential in e-commerce, with a particular focus on the Amazon marketplace. Our core categories include food, natural cosmetics, household goods, and other high-demand consumer products. Many of our clients rank among the bestsellers in their respective categories.Our success is driven by a team of 70 colleagues. We work in a data-driven, systematic, and structured way, with clear ownership and accountability, in an environment that makes performance visible and enables meaningful progress.We think entrepreneurially and take a long-term approach: we test what works, make it scalable, and build strong, lasting partnerships with brands, suppliers, and our team.To strengthen our team, we are looking for an experienced Senior Data Engineer (m/f/d) to take our data platforms and pipelines to the next level.As a Senior Data Engineer at Eberlein Kunz, you will be a core member of our Data & Analytics team and play a key role in building the foundation for data-driven decision-making across the company.Your ResponsibilitiesDesign, build, operate, and continuously improve Azure data pipelines in Microsoft FabricEnsure data quality, completeness, and reproducibilityImplement incremental data loading processes to improve efficiencyDevelop robust monitoring, logging, and error-handling systemsSet up and maintain test, staging, and production environmentsCollaborate closely with the Head of Data & Analytics and Data Analysts to provide data for Power BI dashboards and machine learning modelsContribute to building a scalable data architecture (e.g. CI/CD, dbt, Airflow, Fabric Pipelines)Document, optimize, and cost-optimize data workflowsBuild and maintain API-based data integrationsYour profileYou design, build, and operate modern data pipelines in Microsoft Azure and Microsoft Fabric, ensuring high data quality, efficiency, and scalability. Your work enables reliable analytics, reporting, and machine learning across the organization.5+ years of experience building and operating data pipelines or data platformsStrong expertise in Azure Data Services, Microsoft Fabric, Data Factory / SynapseSolid hands-on experience with SQL and Python (ETL/ELT, automation)Experience with incremental loading and delta processingStrong knowledge of data modeling (Bronze/Silver/Gold layers) and data quality managementExperience integrating data for Power BI and working with semantic layersProven skills in monitoring, logging, and performance optimizationStructured, self-driven working style with strong team orientationprofessional proficiency in EnglishGerman language skills are a plusNice-to-havesExperience in e-commerce or the Amazon ecosystemKnowledge of API-based data extraction, Openbridge, and CI/CD (GitHub Actions, Azure DevOps)Interest in machine learning integrationPassion for building data-driven organizationsWhy us?A dynamic company that is among the leading Amazon e-commerce sellers in the German-speaking regionA diverse and inclusive work environment that supports sustainable business successA competitive salary packageFlexible working hours with a start window between 6:00 and 10:00 a.m. to support work-life balanceHybrid work model: remote work on 2 out of 5 days per weekAttractive employee discounts on our full product portfolioAccess to 1,500+ offers via our Corporate Benefits partnerSubsidy for public transport ticketsAnd many additional benefits

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