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 dataDevelop integrations using APIs, Graph connectors, and event-driven architecturesMaintain data stores and indexing for RAG patternsImplement quality, validation, lineage,



and governance controlsInstrument pipelines for monitoring, cost, and performance optimizationRequirements: Four-plus years building and operating production data pipelinesProficiency in Python and SQLExperience with Azure Data Factory, Synapse, Data Lake Storage, and Azure SQLExperience with structured, semi-structured, and unstructured dataKnowledge of security, privacy, access control, and encryptionApply data engineering expertise across Azure, Python, SQL, governance, and AI retrieval infrastructure at GEI.#J-18808-Ljbffr

📌 Azure Data Engineer Ai Pipelines (Kitchener)
🏢 GEI Consultants
📍 Kitchener