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