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Bay Street StaffingVerified Job Source

Data Engineer

Build and maintain data pipelines to collect, clean, and transform employee data from multiple HR systems. Load processed data into a central platform for reporting and business use.

  • Hybrid
  • Toronto, ON
  • Posted Jul 28, 2026
  • Apply by Jul 11, 2027
  • 1 position

Job summary

Data Engineer Toronto, ON (hybrid) 6 months (potential for Extension/Conversion to FTE) Line of Business - HR Technology Team Role Summary: In this role, you'll build and maintain data pipelines that collect employee data from multiple HR systems, clean and transform it, and load it into a central data platform for reporting and business use. This is a development-focused role, not a support role, so we're looking for candidates who have personally built Databricks notebooks, ETL pipelines, and SQL-based data solutions, rather than only monitoring or supporting existing environments. You should be able to confidently explain the solutions you've built, the technical decisions you made, and your individual contributions to real projects. Must Have Requirement: 3-5 Years Data Analytics / Developer 3 years Azure Data Bricks Experience working with Azure-based data platforms Nice to Have: Experience with ServiceNow/ Jira Informatica (Not deciding factor) AutoSys Feedhub integration Please apply only if you have hands-on experience building Azure Databricks ETL pipelines — not just supporting or monitoring existing solutions!!

What you’ll do

Build and maintain data pipelines to collect, clean, and transform employee data from multiple HR systems. Load processed data into a central platform for reporting and business use.

Requirements

Requires 3-5 years of experience in data analytics or development with at least 3 years of hands-on Azure Databricks experience. Candidates must have a proven track record of building ETL pipelines rather than just supporting them.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Azure Databricks
  • ETL Pipelines
  • SQL
  • Data Engineering
  • Azure Data Platforms
  • Data Analytics
  • ServiceNow
  • Jira
  • Informatica
  • AutoSys
  • Feedhub Integration

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Human Resources

Additional details

Minimum experience
2+ years
Apply by
Jul 11, 2027
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available