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Randstad Logo Randstad · IT - Software Development

Senior Data Engineer

Canada, Toronto 57.46 - 67.04 USD / Hour · Job Posted June 02, 2026
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Job Description

We are seeking a highly skilled Data Engineer to join our team. In this role, you will be instrumental in modeling, designing, and developing robust data pipelines, analytics-ready datasets and comprehensive business intelligence solutions. You will work within established design and development methodologies to ensure high-quality documentation and enterprise-standard data architecture.

Job Responsibility

  • Design, develop, and document integration packages using Azure Data Factory (ADF) and SSIS to consolidate data from multiple complex systems
  • Develop and maintain Databricks notebooks and jobs using Python (PySpark) and SQL for both batch and streaming workloads
  • Design and implement complex T-SQL, stored procedures, views, triggers, and indexes to optimize data flow and storage
  • Build curated datasets following layered patterns (Bronze/Silver/Gold) and implement Delta Lake best practices
  • Assist in the data modeling of warehouse and data lake solutions while performing advanced data analysis to provide meaningful, data-driven insights
  • Design and implement rigorous data quality, cleansing, and stewardship processes
  • Convert business requirements into technical specifications and work closely with Business Analysts and project teams to ensure alignment
  • Research and propose technical solutions, perform knowledge transfer sessions, and recommend improvements for automation and workflow efficiency
  • Provide accurate time estimates for technical tasks and ensure all developments meet enterprise documentation standards

Requirements

  • University degree in Computer Science or a related business/computer discipline (or equivalent experience)
  • 5+ years of proven experience in database development or data engineering for enterprise-level solutions
  • Hands-on expertise with Microsoft Azure Synapse, SQL Data Warehouse, and Azure Data Factory
  • Advanced experience with Azure Databricks and SQL Server (2016 or later)
  • Strong proficiency in SQL and Python
  • Experience with CI/CD pipelines via Azure DevOps
  • Skilled in developing Microsoft Power BI reports or similar data visualization tools
  • Expert understanding of Data Warehouse (DW), Business Intelligence (BI) implementations, and Data Lake design
  • Strong analytical and problem-solving abilities, with well-developed interpersonal and communication skills to explain complex data solutions to the team

What we offer

  • Work with a modern Azure-based cloud environment and industry-leading tools like Databricks and Synapse
  • Shape enterprise-scale data products and influence data-driven decision-making
  • Engage in a professional environment focused on knowledge sharing and continuous technical improvement
  • Move beyond execution into architectural modeling and technical solutioning
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