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
• Cloud: AWS, DynamoDB, Databricks
• DevOps: Terraform, Docker, CI/CD

Who you are

• Ownership‑mindful 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, and are 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