Design AI-ready data pipelines with SQL and Python at Connor, Clark & Lunn Financial Group. Work hybrid, with three days in office.As a Senior Data Integration Engineer, you will build enterprise data foundations for AI and analytics. Your work includes ETL/ELT, orchestration frameworks, semantic enrichment, and governance controls. You will support reliable, explainable, enterprise-ready AI systems across financial services.Key Responsibilities:Develop scalable ETL/ELT processes across diverse data systemsEnable real-time and event-driven data flowsImplement security, privacy, compliance, and bias controlsEnrich datasets for LLM, RAG, and embeddingsBuild connectors and APIs for enterprise data accessRequirements:Experience building resilient pipelines for structured datasetsStrong SQL, Python, and orchestration framework skillsFamiliarity with Azure, AWS, or Microsoft FabricExpertise in data modeling and vector databasesKnowledge of AI ethics, security, privacy, and auditabilityBring pipeline engineering, semantic context, and governance expertise to advance AI readiness at Connor, Clark & Lunn Financial Group.#J-18808-Ljbffr

📌 Data Integration Engineer - C$140,000 - C$160,000 A Year (Winnipeg)
🏢 Connor, Clark & Lunn Financial Group
📍 Winnipeg