Build GEI’s AI data foundation with Python, SQL, and Azure services supporting reliable enterprise pipelines and integrations.
As a Data Engineer, you will design, build, and maintain production data pipelines for GEI’s AI solutions and digital initiatives. You will manage Azure data services, integrate enterprise sources, and prepare governed data for AI consumption. The work includes collaboration with AI Engineers, solution architects, and platform teams.
Key Responsibilities: Design pipelines ingesting, transforming, and delivering enterprise data
Develop integrations using APIs, Graph connectors, and event-driven architectures
Maintain data stores and indexing for RAG patterns
Implement quality, validation, lineage, and governance controls




Instrument pipelines for monitoring, cost, and performance optimization
Requirements: Four-plus years building and operating production data pipelines
Proficiency in Python and SQL
Experience with Azure Data Factory, Synapse, Data Lake Storage, and Azure SQL
Experience with structured, semi-structured, and unstructured data
Knowledge of security, privacy, access control, and encryption
Apply data engineering expertise across Azure, Python, SQL, governance, and AI retrieval infrastructure at GEI.

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📌 Azure Data Engineer AI Pipelines (Ontario)
🏢 GEI Consultants
📍 Ontario