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Azure Data Engineer

  • Toronto, ON
  • On-site
  • Posted Nov 3, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Develop scalable data ingestion, transformation, and orchestration pipelines using Azure Databricks, Apache Airflow, and related Azure services. Build reusable engineering components and notebooks, implement automated data quality checks, and optimize and troubleshoot data workloads.

Job details

Strong hands-on experience with Azure Data Factory (ADF), Azure Databricks, Python, PySpark, SQL, and Azure cloud services. Expertise in developing scalable data ingestion, transformation, and orchestration pipelines using Databricks and Apache Airflow. Experience implementing Medallion Architecture (Bronze, Silver, Gold), Delta Lake, and reusable data engineering frameworks. Develop reusable Databricks notebooks, data transformation components, orchestration workflows, and automated data quality checks. Strong experience with Azure DevOps, Git, CI/CD pipelines, and automated deployment processes. Experience with Spark performance tuning, pipeline troubleshooting, data reconciliation, and workload optimization. Knowledge of data governance, metadata management, Unity Catalog, and enterprise data engineering best practices.

What you’ll do

Develop scalable data ingestion, transformation, and orchestration pipelines using Azure Databricks, Apache Airflow, and related Azure services. Build reusable engineering components and notebooks, implement automated data quality checks, and optimize and troubleshoot data workloads.

Requirements

Requires strong hands-on experience with Azure Data Factory, Azure Databricks, Python, PySpark, SQL, and Azure cloud services. Candidates should also have experience with Medallion Architecture, Delta Lake, Azure DevOps, Git, CI/CD, Spark optimization, data governance, metadata management, and Unity Catalog.

Listed skills

  • SQL · Preferred
  • CI/CD · Preferred
  • Git · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Azure Data Factory
  • Azure Databricks
  • Python
  • PySpark
  • SQL
  • Azure Cloud Services
  • Apache Airflow
  • Medallion Architecture
  • Delta Lake
  • Data Engineering Frameworks
  • Data Quality
  • Azure DevOps
  • Git
  • CI/CD
  • Spark Performance Tuning
  • Unity Catalog

Job areas

  • Data & Analytics
  • Technology
  • Software

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