Summary: The Data Engineer role focuses on designing and maintaining robust data pipelines and Snowflake data architecture while ensuring high-quality data integration across enterprise platforms.Client: from CanadaRemote work: yesProject language: EnglishBusiness trips: noProject length: 6 months contract + option for prolongationsStart: Flexible /one month notice periodAssignment type: B2BRemuneration: 350-375 euro/dayFTE: 100%Key Responsibilities: Develop and maintain ETL/ELT pipelines using Snowflake and Azure cloud services. Collaborate with cross-functional teams to translate business needs into technical solutions. Optimise data architecture for high-performance storage in Snowflake. Implement best practices for data governance and security within Snowflake. Monitor, troubleshoot, and optimise data pipeline performance with ADF and Snowflake tools. Document data integration processes and transformation logic. Mentor and support junior team members in technical best practices. Key Requirements: Snowflake expertise in data integration, schema design, and data warehousing. Strong experience with SQL Server for data integration and provisioning. Proficiency in Azure Data Factory (ADF) for managing ETL/ELT pipelines. Advanced SQL skills for performance tuning in data processing. 5 years of experience required. Nice to Have: Certifications like Snowflake or Azure Data Engineer. Experience with data modeling in Snowflake. Automation experience for data validation processes. Strong documentation and collaboration skills. Excellent problem-solving skills and collaborative mindset.