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 systems Enable real-time and event-driven data flows Implement security, privacy, compliance, and bias controls Enrich datasets for LLM, RAG, and embeddings Build connectors and APIs for enterprise data access Requirements:

Experience building resilient pipelines for structured datasets Robust SQL, Python, and orchestration framework skills Familiarity with Azure, AWS, or Microsoft Fabric Expertise in data modeling and vector databases Knowledge of AI ethics, security, privacy, and auditability Bring pipeline engineering, semantic context, and governance expertise to advance AI readiness at Connor, Clark & Lunn Financial Group.

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📌 Senior AI Data Integration Engineer (Winnipeg)
🏢 Connor, Clark & Lunn Financial Group
📍 Winnipeg