Azure data engineer
The role involves designing and implementing data pipelines and orchestration using Azure and Databricks. The engineer will also manage data governance and metadata within the BFSI domain.
- Hybrid
- Toronto, ON
- Posted Aug 12, 2026
- Apply by Sep 11, 2026
- 1 position
More jobs you can apply to directly
Similar opportunities posted by employers hiring on Jobs.ca, with no external application form.
Job summary
Job Title: Azure Data Engineer Location: Toronto, ON Work Arrangement: Hybrid – 3Days/Week Onsite Employment Type: Contract/Fulltime Duration: 12 Months Domain: BFSI Pay Rate: CAD $120K/annum Application Deadline: August 30th, 2026 Job Summary We’re looking for an experienced Azure Data Engineer / Databricks Engineer with strong hands-on experience in Unity Catalog and Azure Databricks. Must Have: Azure + Databricks + Unity Catalog Strong PySpark & SQL Azure Data Factory (ADF) Synapse Power BI & Tableau Data Engineering, pipelines & orchestration Data governance / metadata EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
What you’ll do
The role involves designing and implementing data pipelines and orchestration using Azure and Databricks. The engineer will also manage data governance and metadata within the BFSI domain.
Requirements
Candidates must have strong hands-on experience with Unity Catalog, Azure Databricks, PySpark, and SQL. Proficiency in Azure Data Factory, Synapse, and visualization tools like Power BI and Tableau is required.
Listed skills
- Microsoft AzurePreferred
- Power BIPreferred
- SQLPreferred
- TableauPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure
- Databricks
- Unity Catalog
- PySpark
- SQL
- Azure Data Factory
- Synapse
- Power BI
- Tableau
- Data Engineering
- Pipelines
- Orchestration
- Data Governance
- Metadata
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Finance & Accounting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 11, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
