Data Engineer - Senior

About Us A Canadian technology and workforce solutions company headquartered in Vaughan, Ontario. The company helps businesses, enterprises, and public-sector organizations modernize their operations through secure digital transformation, custom software development, staffing, recruitment, payroll, and workforce management solutions. Job Description Title: Data Engineer - Senior Duration: 2026-09-01 to 2027-08-31 (6 Months possible extension) Location: Edmonton, AB (Remote) Duties: Collaborate with business stakeholders and product owners to understand data product objectives, requirements, and success criteria Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments. Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance. Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts. Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases and downstream consumption. Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks. Design and expose secure data services and APIs using Azure API Management for downstream systems. Implement data governance practices, including metadata management, data classification, and lineage tracking. Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking. Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform. Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation. Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality. Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases. Other duties as needed