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

Solid 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.

📌 Senior AI Data Integration Engineer (Toronto)
🏢 Connor, Clark u0026 Lunn Financial Group
📍 Toronto