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Randstad Logo Randstad · IT - Software Development

Senior Data Engineer

Canada, Toronto 57.46 - 67.04 USD / Hour · Job Posted July 05, 2026
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Job Description

We are seeking a highly skilled Senior Data Engineer for an extensive 35-month contract to lead the design and evolution of enterprise-level data architectures. In this role, you will be responsible for modeling, developing, and maintaining a robust Enterprise Data Warehouse (EDW), data lakes, and data marts. You will play a critical role in building analytics-ready datasets and business intelligence solutions that drive data-informed decision-making for a major transit organization.

Job Responsibility

  • Design, develop, and document Azure Data Factory (ADF) and SSIS packages to integrate complex data from multiple source systems
  • Build and maintain Databricks notebooks and jobs using Python (PySpark) and SQL for both batch and streaming workloads
  • Implement curated, analytics-ready datasets following the Medallion Architecture (Bronze, Silver, Gold layers) and Delta Lake best practices
  • Develop complex T-SQL, stored procedures, views, triggers, and indexes to optimize performance within Azure Synapse and SQL Server environments
  • Conduct advanced data analysis to provide meaningful, data-driven insights to business stakeholders
  • Develop high-quality Power BI reports and dashboards to visualize key performance indicators and operational metrics
  • Assist in the data modeling of the data warehouse/data lake solutions to ensure scalability and alignment with business requirements
  • Design and implement rigorous data quality and cleansing processes to ensure the integrity of the enterprise data assets
  • Manage the end-to-end development lifecycle using Azure DevOps pipelines to ensure reliable and automated deployments
  • Convert business requirements into detailed technical specifications, provide accurate time estimates, and conduct knowledge transfer sessions for the team

Requirements

  • 5+ years of dedicated experience in Data Engineering or Database Development for enterprise-scale solutions
  • Hands-on expertise with Azure Synapse (SQL DW), Azure Data Factory, Azure Databricks, and SQL Server 2016+
  • Proficient in SQL and Python (specifically PySpark for big data processing)
  • Proven experience implementing CI/CD pipelines using Azure DevOps
  • Demonstrated experience developing reports in Power BI
  • University degree in Computer Science or an equivalent combination of education and experience
  • Expert understanding of DW/BI implementations, data lake design, and data stewardship techniques

What we offer

  • Unmatched Stability: A 35-month contract provides rare long-term stability and the opportunity to lead a project from foundational design to mature operation
  • Enterprise Scale: Work on a massive transit data ecosystem, solving complex data problems that impact millions of users
  • Modern Cloud Stack: Deepen your expertise in the full Azure data suite, including Delta Lake, PySpark, and Synapse
  • Strategic Role: Move beyond simple coding to help model the enterprise data strategy and deliver actionable business intelligence
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