Credit Risk Data Engineer

Description: Own the data layer for Kiwi's credit risk decisions, ensuring data availability and quality. Manage data from vendors to models, identifying issues before they impact decisions. Requirements: 4+ years in data engineering or analytics engineering, with ownership of a production data platform. Expert in SQL, data modeling, and experience with cloud data warehouses (preferably Snowflake). Proficient in Python, dbt, and orchestration tools (e.g., Airflow). Strong problem-solving skills and clear written communication. Benefits: Work on impactful financial products with direct customer and business growth effects. Full ownership of the Credit Risk data layer and its evolution. Engage in meaningful challenges across data pipelines and quality. 100% remote work opportunity in specified Latin American countries.