Data Engineer Pay Rate: (adaptable) Location: Toronto ON Contract Length: 12 months We at Raise are hiring right now for one of our Government Sector Clients. Key Responsibilities Design, develop, maintain, and support enterprise data pipelines and analytics-ready datasets. Develop, enhance, and support Enterprise Data Warehouse, Data Marts, and Data Lake solutions. Design, develop, document, and maintain ETL solutions using Microsoft Azure Data Factory (ADF) and/or SSIS . Create and optimize complex T-SQL , stored procedures, views, triggers, indexes, and database objects. Design and implement enterprise data quality, data cleansing, and data governance processes. Perform advanced data analysis to deliver meaningful business insights.



Develop scalable data integration solutions using Azure Synapse Analytics, SQL Data Warehouse, and SQL Server 2016 or later. Build and maintain CI/CD deployment pipelines using Azure DevOps. Collaborate with Business Analysts and project stakeholders to translate business requirements into technical solutions. Participate in data modelling activities for enterprise Data Warehouse, Data Mart, and Data Lake environments. Research, document, recommend, and implement technical improvements and automation solutions. Prepare technical documentation, design specifications, and knowledge

📌 Data Engineer (Toronto)
🏢 Raise
📍 Toronto