Senior Azure Data Engineer

About

Drive enterprise data governance initiatives within a dynamic insurance environment focused on Azure cloud technologies, automation, and large-scale data platforms. This hybrid Toronto-based opportunity offers exposure to global projects, AI-related initiatives, and collaborative Agile teams supporting data quality, governance, and operational excellence.

What is in it for you:

• Salaried: $75-85 per hour.
• Incorporated Business Rate: $85-95 per hour.
• 6-month contract with the potential for permanent employment.
• Full-time position: 37.50 hours per week.
• Schedule from 9 am to 5 pm.
• Hybrid: 3 days/week in Toronto office.

Responsibilities:

• Design and implement scalable data governance frameworks.
• Build, operationalize, and automate data pipelines using Azure Data Factory and Azure Databricks.
• Develop and maintain metadata management and cataloging solutions using Databricks Unity Catalog and Informatica CDGC.
• Engineer and enforce data quality controls and monitoring systems.
• Advance and maintain end-to-end data lineage using governance tools.
• Implement role-based access control, data masking, and privacy controls.
• Conduct performance analysis, optimization, and capacity planning for large-scale data processing workloads.
• Drive continuous improvement initiatives related to data governance and data engineering.
• Collaborate with cross-functional and global teams to align data initiatives with enterprise strategy.
• Operate within Agile and Scrum methodologies using Teams, JIRA, and Mural.
• Support production release cycles and operational support activities.
• Collaborate with Data Stewards to support the data quality lifecycle, including business requirements gathering, technical rule application, and remediation support.

What you will need to succeed:

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
• 6 years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise with Azure cloud services, including Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse, and Azure SQL or SQL Server.
• Hands-on experience with Databricks Unity Catalog for governance, lineage, and security management.
• Experience with Informatica CDGC for metadata management and lineage.
• Strong proficiency in SQL and Python.
• Familiarity with Java or Scala for distributed data processing.
• Solid understanding of data warehousing, relational data modeling, ETL and ELT development, and cloud-native data engineering patterns.
• Experience with DevOps and CI/CD pipelines for automating data workflows.
• Familiarity with Power BI for dashboard creation, data modeling, and business intelligence support.
• Strong understanding of data security practices, including RBAC, encryption, and data masking.
• Experience with automation and scripting using Python, PowerShell, or similar tools.

Benefits:

• Work from home

Education:

• Bachelor's Degree (required)

Experience:

• Data Engineer or in similar data-focused roles: 6 years (required)
• ADF, Databricks, ADLS Gen2, Synapse, Azure SQL/SQL Server: 1 year (required)
• Databricks Unity Catalog: 1 year (required)
• Informatica CDGC for metadata management and lineage: 1 year (required)
• SQL and Python: 1 year (required)
• Java or Scala for distributed data processing: 1 year (required)
• Data warehousing, ETL/ELT, and data modeling: 1 year (required)
• DevOps and CI/CD pipelines: 1 year (required)
• Power BI and BI reporting: 1 year (required)
• Data security practices (RBAC, encryption, masking): 1 year (required)
• Automation/Scripting, Python, PowerShell, or similar tools: 1 year (required)

Work Location:

• Hybrid remote in Toronto, ON M4W 1E5