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Open nowPosted 279 days ago

Credit Data Engineer

Klarna107 open roles

Pay
SEK 752,814 – SEK 843,151 a year
Where
Stockholm
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Your applicationOpen nowCredit Data EngineerKlarna · Stockholm
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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 279 days ago

The posting

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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