Credit Data Engineer (Fintech)

TL;DR

Credit Data Engineer (Fintech): Building and maintaining global underwriting data platforms with an accent on data lineage, freshness, and accuracy. Focus on designing machine-readable data contracts for AI agents and humans, instrumenting observability for critical pipelines, and partnering with cross-functional teams to drive decisioning and regulatory reporting.

Location: Stockholm (Onsite)

Salary: 752,814 SEK – 843,151 SEK

Company

A global fintech company specializing in buy-now-pay-later services and banking solutions.

What you will do

• Manage global underwriting tables with clear SLAs for data completeness, accuracy, and lineage.
• Design consistent IDs, canonical events, and machine-readable data contracts for both human and AI-agent consumption.
• Develop and operate batch and streaming pipelines supporting underwriting scoring and real-time decisioning.
• Implement observability through alerts, audits, and reconciliation to maintain system integrity.
• Collaborate with Portfolio Management, Policy, Modeling, and Finance teams to support model development and regulatory reporting.

Requirements

• Proven experience owning mission-critical data products using batch and streaming technologies.
• Strong background in data modeling, schema evolution, and maintaining robust data contracts.
• Proficiency in SQL, PySpark, and Python.
• Hands-on experience with Apache Airflow, Kafka, and AWS cloud services.
• Experience instrumenting data quality monitoring, observability, and incident root-cause analysis.

Nice to have

• Familiarity with AI/agent patterns including agent-friendly schemas, endpoints, and vector search.

Culture & Benefits

• Focus on high-impact data engineering in a large-scale fintech environment.
• Exposure to complex regulatory reporting and credit modeling processes.
• Collaborative environment working alongside modeling, treasury, and finance experts.
• Opportunities to work with modern data stack including AWS, Terraform, and CI/CD workflows.