Senior Data Engineer
17 ore fa
Own and evolve data pipelines that power Klarna's externally-facing dashboards used by hundreds of thousands of merchants worldwide.Participate inall Partner Reporting initiatives,optimizing data flows to improve scalability, reliability, and standardization across markets and merchant segments.Build and maintain ETL / ELT pipelinesthat transform raw Klarna event and transaction data into merchant-ready KPIs such as funnel metrics, and customer insights.Automate and simplify complex reporting, replacing manual or semi-automated workflows with robust, production-grade data products.Collaborate closely with Data Modeling, Product Analytics, and Product Engineering teamsto streamline pipelines, remove unnecessary transformation layers, and improve end-to-end data efficiency.Apply strong SQL-based analysis and feature engineering to ensure metrics are correct, explainable, and trusted — internally and externally.Help shape the foundation of a merchant analytics platform that goes beyond reporting: uncovering consumer trends, identifying high-intent shoppers, measuring campaign effectiveness, and enabling data-driven recommendations for partners.Python(must-have)SQL(must-have; complex analytical queries at scale)REACT (nice-to-have; basic front-end developmentAirflow(or equivalent orchestration tools)Batch and ELT-style pipeline patternsExperience with workflow schedulers, jobs, and dependency managementRedshift(or similar analytical data warehouses)Jenkinsfor CI/CD and pipeline automationGit-based workflows and production deployment best practicesWho you areProven experience as aData Engineerbuilding and operating production-grade data pipelines.Strong ownership mindset over mission-critical data products, primarily batch-based, with an appreciation for scalability and reliability.Deep comfort with data modeling, schema evolution, metric definitions, and data quality in analytical environments.Hands-on experience optimizing SQL-heavy pipelines and reducing unnecessary transformation layers.Ability to collaborate effectively with analytics, product, and engineering stakeholders — translating business needs into durable technical solutions.Prior experience in fintech, payments, or regulated environments is a strong plus, but not required.Excellent analytical thinking, problem-solving skills, and the ability to communicate complex data concepts clearly.Please include a CV in English.Curious to learn more about Klarna and what it's like to work here?Explore our career site#J-*****-Ljbffr
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