Senior Azure Data Engineer

Senior Azure Data Engineer

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.

Why Recruit Action?

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

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Pay: $75.00-$95.00 per hour

Benefits:

• Work from home

Application question(s):

• Are you comfortable reporting to the office 3 days per week?

• Do you have a Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field? If yes, please specify the field of study.

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