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Data Engineer

  • Toronto, ON
  • On-site
  • Posted Oct 15, 2026
  • 1 position

US$55–US$60 / hour

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Employment type
Contract
Experience level
Lead · 10+ years
Posting language
English
Working hours
40 hours per week
Seniority
Director
Application method
Direct apply is available

Job summary

Develop and enhance data engineering solutions using Azure Databricks, and design data models and lineage metamodels. Consolidate lineage proofs of concept into scalable enterprise solutions while collaborating with architecture, engineering, and governance teams and supporting metadata management, integration, and governance initiatives.

Job details

Data Engineer – Azure Databricks & Data Lineage Location: Toronto, Canada Duration: Long-Term Contract Job Summary We are seeking a skilled Data Engineer with strong experience in Azure Databricks, Data Modeling, and Data Lineage to build scalable, standardized enterprise data solutions. Key Responsibilities Develop and enhance data engineering solutions using Azure Databricks. Design data models and data lineage metamodels. Consolidate existing data lineage POCs into scalable, enterprise-ready solutions. Collaborate with data architecture, engineering, and governance teams to establish lineage standards. Support metadata management, data integration, and data governance initiatives. Required Skills Strong hands-on experience with Azure Databricks and Data Engineering. Solid understanding of Data Modeling and Data Lineage Metamodels. Experience converting POCs into scalable, standardized solutions. Knowledge of metadata management, data platforms, and data governance. Experience with Collibra is a strong plus.

What you’ll do

Develop and enhance data engineering solutions using Azure Databricks, and design data models and lineage metamodels. Consolidate lineage proofs of concept into scalable enterprise solutions while collaborating with architecture, engineering, and governance teams and supporting metadata management, integration, and governance initiatives.

Requirements

Requires strong hands-on experience with Azure Databricks and data engineering, along with a solid understanding of data modeling and data lineage metamodels. Candidates should have experience scaling proofs of concept into standardized solutions and knowledge of metadata management, data platforms, and data governance; Collibra experience is a strong plus.

Listed skills

  • Microsoft Azure · Preferred
  • Attention to detail · Preferred
  • Teams · Preferred
  • Data analysis · Preferred
  • management · Preferred
  • Integration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Azure Databricks
  • Data Engineering
  • Data Modeling
  • Data Lineage
  • Data Lineage Metamodels
  • Metadata Management
  • Data Integration
  • Data Governance
  • Data Platforms
  • Collibra
  • Scalable Solutions
  • Enterprise Data Solutions

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering

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