Senior Data Engineer - Credit
What you'll do • Own and evolve the global feature engineering platform that powers Klarna's risk decisions and models • Design and improve feature definitions with stakeholders to improve predictive power and accuracy of risk assessments • Build and architect data pipelines to solve complex problems in ingestion, transformation, and real-time serving—and support what you build • Instrument quality and observability: alerts, dashboards, canary releases, incident follow-up • Design systems and solutions that integrate with Klarna's ecosystem of AI tooling Tech stack Languages: Python, SQL Frameworks & data: Spark (PySpark), Kafka, open table formats (Iceberg, Delta Lake), Redis Cloud: AWS, DynamoDB, Databricks DevOps: Terraform, Docker, CI/CD Who you are • Ownership-minded over mission-critical data pipelines and serving (batch + streaming + API); you maintain production systems while shipping new features • Tech-stack flexible: you adapt to the problem, are comfortable across Python, Spark and Kafka, however also curious to explore modern tools and frameworks to challenge the status quo • Strong on data modeling and understanding business requirements and data relationships—you translate use cases into robust pipelines and feature definitions • You ship in time-boxed phases, scope pragmatically, and drive projects to delivery—including rescoping or stopping work that isn't delivering value • You communicate clearly and collaborate well with stakeholders and peers; you unblock yourself and others when priorities shift • High tempo and autonomous: you're passionate about owning products and solutions and engaged in leading projects • Curious to explore AI-assisted development and tooling (e.g. LLMs, Copilot, Cursor) as part of your workflow Please include a CV in English. Curious to learn more about Klarna and what it’s like to work here? Explore our career site!
