Questa posizione è in Klarna
Il processo di selezione sarà interamente gestito Klarna.
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### What you’ll do * Own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage. * Design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts. * Build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization. * Instrument quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews. * Partner closely with Credit Portfolio Management, Policy teams, Modeling teams,
and treasury and finance teams to land features for RUE and consumer-centric models, plus regulatory and management reporting. ### Tech stack (what we use) * **Languages:** SQL, PySpark, Python * **Frameworks:** Apache Airflow, AWS Glue, Kafka, Redshift * **Cloud & DevOps:** AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD ### What you’ll bring * Proven ownership of mission-critical data products (batch + streaming). * Data modeling, schema evolution, data contracts, and strong observability chops. * Familiarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search).
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📌 Credit Data Engineer (Milano)
🏢 Klarna
📍 Milano