pSpecialista /ppIn this role you own the global underwriting data fabric, ensuring canonical facts and dimensions with clear SLAs. You design for both AI agents and human users, defining consistent IDs, events, and machine-readable data contracts. You build and run batch and streaming pipelines that feed underwriting scoring, real-time decisioning, and monitoring, while ensuring quality and observability. You collaborate with Credit Portfolio Management and Modeling teams to land features for RUE and consumer-centric models and regulatory reporting. This is a scale-focused data engineering role at Klarna that shapes how data supports underwriting and risk decisions. /pulliOwn global underwriting tables (canonical facts/dimensions) with SLAs for freshness, completeness, accuracy, and data lineage /liliDesign data schemas and contracts for AI-agents and humans,



including metadata and machine-readable contracts /liliBuild and run batch + streaming pipelines feeding underwriting scoring, real-time decisioning, monitoring, and optimization /liliInstrument quality and observability (alerts, audits, reconciliation, backfills) and lead incident/root-cause reviews /liliCollaborate with Credit Portfolio Management, Policy, Modeling, treasury/finance to land features for risk models and reporting /liliProven ownership of mission-critical data products (batch + streaming) /liliFamiliarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search) /li /ulIn this role you own the global underwriting data fabric, ensuring canonical facts and dimensions with clear SLAs. You design for both AI ag… #J-18808-Ljbffr

📌 Credit Data Engineer (Milano)
🏢 Experteer Italy
📍 Milano