Senior Data Engineer / Azure Data Factory Developer

  • Location: Toronto, Ontario
  • Remote: Hybrid
  • Type: Contract
  • Job #35968

Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure Data Factory Developer focused on ETL and data integration. The engagement will include one onsite/hybrid resource in Toronto and one offshore resource, with both resources required to complete onboarding before the end of October 2026.

Role 1: Senior Data Engineer, Databricks / Apache Spark

Delivery Model: This role may be filled by either the onsite/hybrid Toronto resource or the offshore resource. Across the two positions, one resource will be onsite and one offshore.

Responsibilities

  • Design, develop and maintain data processing solutions using Databricks
  • Develop and optimize Apache Spark jobs for data transformation and processing
  • Build data ingestion and transformation workflows
  • Develop scalable, reusable and unit-tested data engineering components
  • Troubleshoot Databricks and Spark workloads
  • Support deployment, issue resolution and enhancement activities
  • Produce technical documentation and support knowledge transfer

Required Skills

  • Strong Databricks experience
  • Strong Apache Spark experience
  • Data transformation and processing
  • Data ingestion and pipeline development

Role 2: Senior Azure Data Factory Developer

Delivery Model: This role may be filled by either the onsite/hybrid Toronto resource or the offshore resource. Across the two positions, one resource will be onsite and one offshore.

Responsibilities

  • Design, build and maintain Azure Data Factory pipelines and workflows
  • Develop ETL and data integration solutions across source and target systems
  • Support integrated processing and orchestration using Databricks where required
  • Configure pipeline monitoring and error handling
  • Troubleshoot and optimize data movement and pipeline execution
  • Support testing, deployment and operational stabilization
  • Produce technical documentation and support knowledge transfer

Required Skills

  • Strong Azure Data Factory experience
  • Working knowledge of Databricks
  • Data integration experience
  • ETL pipeline development and support
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