Expert Data Engineer (Rating & Limit Management)

Quick Facts

• Role: Expert Data Engineer (Rating & Limit Management)

Description

Design and build end-to-end data engineering solutions for corporate credit decisions within Limit Management. Own data models and data pipelines, modernize systems from fragmented local implementations to unified production solutions, and deliver capabilities such as real-time limit checks and regulatory-compliant exposure monitoring. Provide technical leadership through quality standards and maintainability-focused engineering practices, with early adoption of AI-assisted development.

Responsibilities

• Support the foundational phase of a new data engineering team by translating business problems into data solutions
• Design and build data models and data pipelines
• Drive modernization from requirements to production and unify fragmented local systems
• Collaborate with Business and stakeholders through effective communication and alignment
• Lead quality and technical delivery by setting high standards for long-term reliability and maintainability (e.g., TDD, design patterns, clean architecture)
• Implement AI-assisted development practices (e.g., GitHub Copilot, internal agents) to improve productivity
• Ensure real-time limit checks and regulatory-compliant limit exposure monitoring
• Orchestrate integrations from exposure data sources to credit decision systems
• Support limit data services for risk monitoring and reporting

Requirements

• Strong experience in data engineering and data warehousing, building large-scale data solutions
• Ability to design data warehouse solutions with a focus on simplicity and maintainability
• Hands-on experience with Snowflake, dbt, and Airflow
• Comfort taking full ownership from requirements to production
• Solid experience with CI/CD and pipeline orchestration
• Eagerness to understand the business domain and turn problems into robust and maintainable data solutions

Benefits

• Hybrid working model
• Values-driven culture emphasizing collaboration, ownership, performance, and growth
• Opportunities to develop and learn from diverse colleagues
• Focus on diversity and inclusion and integration of sustainability into business strategy