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 (Ontario)
🏢 Connor, Clark & Lunn Financial Group
📍 Ontario