Credit Data Engineer
Pubblicato il 11-10-2026 - Klarna in Turbigo
ph3What You’ll Do /h3 ul liOwn the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage. /li liDesign for AI‑agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine‑readable data contracts. /li liBuild run pipelines (batch + streaming) that feed UW scoring, real‑time decisioning, monitoring, and underwriting optimization. /li liInstrument quality observability (alerts, audits, reconciliation, backfills) and drive incident/root‑cause reviews. /li liPartner 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. /li /ul h3Tech Stack (what We Use) /h3 ul liLanguages: SQL, PySpark, Python /li liFrameworks: Apache Airflow, AWS Glue, Kafka, Redshift /li liCloud DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD /li /ul h3What You’ll Bring /h3 ul liProven ownership of mission‑critical data products (batch + streaming). /li liData modeling, schema evolution, data contracts, and strong observability chops. /li liFamiliarity with AI/agent patterns (agent‑friendly schemas/endpoints, embeddings/vector search). /li /ul /p #J-18808-Ljbffr