Senior Data Engineer

Senior Data EngineerJob detailsEngineeringMilan, StockholmFull-time€63,236 EUR - €70,825 EUR## **What you will do*** 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 team**s** to 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.**Tech Stack*** **Python** (must-have)* **SQL** (must-have; complex analytical queries at scale)* REACT (nice-to-have; basic front-end development* **Airflow** (or equivalent orchestration tools)* Batch and ELT-style pipeline patterns* Experience with workflow schedulers, jobs, and dependency management* **AWS** (S3, Redshift, IAM, etc.)* **Redshift** (or similar analytical data warehouses)* **Jenkins** for CI/CD and pipeline automation* Git-based workflows and production deployment best practices**Who you are*** Proven 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. #J-18808-Ljbffr