Senior Data Engineer, Snowflake

• Design, develop, and optimize data models and transformation workflows using Snowflake and dbt
• Contribute to scalable data architecture covering raw through semantic data layers
• Support modernization of Oracle-based ETL and reporting processes
• Investigate and address data performance, consistency, and reconciliation challenges
• Develop and maintain data processing, transformation, and automation solutions using Python
• Participate in solution design discussions and architectural decisions
• Support DevOps activities including deployment, configuration, and operational aspects of the data platform
• Own assigned technical components and deliverables end to end
• Participate in client-facing technical discussions and project meetings
• Modernize a data platform for a global financial services client

• Strong hands-on experience with Snowflake, including data transformation, modeling, and performance optimization
• Solid understanding of data modeling principles, data architecture, and scalable data solution design
• Practical experience with dbt for developing and maintaining data transformation workflows
• Proficiency in Python for data engineering, scripting, and automation
• Experience with ETL/ELT processes and modern data pipeline development
• Familiarity with DevOps practices and containerized environments including Kubernetes
• Strong analytical and troubleshooting skills around data quality, performance, and reconciliation
• Good communication skills and ability to collaborate directly with client stakeholders
• English proficiency sufficient for regular technical discussions with US-based teams
• Preferred: Experience with Oracle databases, Oracle ETL, and legacy reporting environments
• Preferred: Prior involvement in data platform modernization or migration from Oracle to Snowflake
• Preferred: Experience with Power BI and semantic reporting models
• Preferred: Snowflake professional certification
• Preferred: Experience designing and optimizing analytical data models for enterprise reporting
• Preferred: Experience working with distributed, cross-functional engineering teams
• Preferred: Background in insurance, reinsurance, or financial services

• Equal opportunity employer
• Continuous learning and professional development
• Inclusive environment
• Collaboration across continents and cultures
• Opportunities to work on real-world AI-driven projects
• Occasional business trips to St. Louis, USA (approximately once every three weeks for one to two days)