Credit Data Engineer
Klarna · Stockholm · Sweden · Full time · Posted 9 months ago
Hiring from abroad
The job description doesn't mention visas, relocation or other languages. Most don't, so it's worth asking before you apply. See jobs that do mention help.
What data and ML jobs in Sweden say about visas →Read from the job description's own text. Check the original before relying on it.
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).
The Apply button goes to the company's own form. ApplyCV does not sit in between and does not see your application. Text above is the employer's; check the original before relying on it.