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-*****-Ljbffr

📌 Credit Data Engineer (Bardi)
🏢 Klarna
📍 Bardi