Drive impactful data solutions with Bridgenext as a Data Engineer focusing on Azure-based products. This hybrid role involves data modeling, pipeline engineering, and analytics delivery.
Bridgenext is seeking an experienced Data Engineer specializing in both data engineering and data modeling. You will design enterprise data structures, create Azure data products, and ensure they are reliable and scalable. This position requires collaboration with business stakeholders to translate requirements into actionable data entities and metrics.
Key Responsibilities:
• Partner with stakeholders to define data product alignment
• Engineer data products from business requirements end to end
• Design and maintain scalable data models for reusability




• Build optimized data pipelines in Azure environments
• Create analytics-ready products for BI and reporting use
Requirements:
• Bachelor's degree in Computer Science or related field
• 8+ years in data engineering and modeling roles
• Expertise in Azure Databricks and data warehousing
• Familiarity with Erwin or PowerDesigner tools
• Proven experience with CI/CD and DevOps practices
Leverage your expertise in data engineering and modeling to deliver trusted data products at Bridgenext.
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📌 Data Engineer for Azure Solutions (Toronto)
🏢 Bridgenext
📍 Toronto