Senior Data Engineer

Employment: Full-time Experience level: Mid-Senior Level Job Description Design, develop, and maintain data solutions in Snowflake Develop and optimize complex SQL queries and data transformations Support migration of legacy and Excel-based processes into Snowflake Design and improve data models for reporting and analytics Perform data validation and reconciliation between legacy and modern data sources Ensure data quality, consistency, and reliability across solutions Troubleshoot and resolve complex data-related issues Collaborate with business stakeholders and analytics teams to define data requirements Work independently and take ownership of data engineering activities Qualifications Strong hands-on experience with Snowflake Strong SQL expertise Solid experience with data warehousing concepts and practices Experience with data modeling and data transformation Experience with data migration, validation, and reconciliation Good understanding of data quality principles Strong analytical and troubleshooting skills Ability to work independently in a distributed environment Good communication and collaboration skills English level: Upper-Intermediate or higher Company Description We are looking for a Senior Data Engineer to join a global Data & Analytics modernization initiative for a company operating in the fire and life safety industry. The team is transforming legacy and Excel-based reporting processes into a modern Snowflake-based analytics environment. The project focuses on building scalable data solutions, improving reporting capabilities, ensuring data quality, and supporting business-critical analytics across international operations. This is an opportunity to work with modern cloud data technologies while solving real-world challenges related to data migration, validation, reconciliation, and reporting modernization.