Senior Data Integration Engineer

Connor Clark and Lunn Financial Group; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A financial services firm in Toronto is seeking a Senior Data Integration Engineer to design and manage AI data pipelines. The role focuses on developing data integration processes and governance controls that support autonomous AI decision-making. Ideal candidates will have strong skills in SQL and Python, along with experience in cloud platforms. A commitment to data security and ethics is essential. Join us in building innovative AI solutions in the financial sector.

Qualifications

• Proven experience building resilient, scalable data pipelines for structured and unstructured datasets.
• Strong skills in SQL, Python, orchestration frameworks, and modern data transformation tools.
• Familiarity with cloud platforms and integration with AI / ML services.
• Expertise in data modeling, semantic enrichment, and vector databases for LLM / RAG pipelines.
• Understanding of agentic AI concepts and data governance practices.

Responsibilities

• Develop scalable ETL / ELT processes to integrate diverse data.
• Implement controls for security, privacy, compliance, and bias mitigation.
• Enrich datasets to power LLM ingestion and agentic collaboration.
• Operationalize Agentic AI by developing monitoring systems.
• Document integration processes and governance standards.
• Partner with teams to embed data integration into workflows.

Skills

Building resilient, scalable data pipelines

Strong skills in SQL

Python programming

Orchestration frameworks (Airflow, Prefect, Dagster)

Integration with AI/ML services

Tools

Azure

AWS

Microsoft Fabric

Job description

Senior Data Integration Engineer

Connor, Clark & Lunn Financial Group

Location : Toronto, ON

Overview

Connor, Clark & Lunn Financial Group (CC&LFG) is building an AI Enablement Team to accelerate the responsible adoption of AI across the organization. The Senior Data Integration Engineer will design, build, and manage the pipelines, governance controls, and semantic context that power enterprise-wide AI and analytics.

This role goes beyond integration: it ensures data is optimized for autonomous and agentic AI systems that can plan, act, and adapt dynamically within guardrails. You will create the trusted foundation on which AI agents, copilots, and orchestration frameworks securely operate.

What You'll Do

• Design & Build Pipelines — Develop scalable ETL / ELT processes to integrate structured, semi-structured, and unstructured data from diverse systems (applications, APIs, databases). Enable real-time and event-driven data flows to support autonomous agent decision-making.
• Safeguard Data & Governance — Implement robust controls for security, privacy, compliance, and bias mitigation. Establish observability and audit trails for agentic AI pipelines, ensuring transparency and accountability.
• Enable AI & Agentic Readiness — Enrich datasets with semantic context and metadata to power LLM ingestion, RAG pipelines, embeddings, and multi-agent collaboration. Build connectors and APIs that allow agentic AI systems to dynamically query, retrieve, and act on enterprise data. Support workflow orchestration across AI agents and business systems.
• Operationalize Agentic AI — Develop feedback loops and monitoring systems to detect drift, hallucinations, or risk in autonomous AI actions. Ensure guardrails (policy enforcement, escalation paths, human-in-the-loop design) are integrated into pipelines and workflows.
• Streamline Knowledge Sharing — Document integration processes, orchestration patterns, and governance standards to ensure reuse and cross-team adoption. Provide blueprints for how AI agents interact with structured enterprise data.
• Collaborate Across Teams — Partner with AI Solutions Engineers, governance leads, and business stakeholders to embed data integration into AI-driven workflows. Drive alignment between technical infrastructure and business value realization from agentic AI.

What You Bring

• Proven experience building resilient, scalable data pipelines for structured and unstructured datasets.
• Strong skills in SQL, Python, orchestration frameworks (Airflow, Prefect, Dagster) and modern data transformation tools.
• Familiarity with cloud platforms (Azure, AWS, Microsoft Fabric) and integration with AI / ML services.
• Expertise in data modeling, semantic enrichment, embeddings, and vector databases for LLM / RAG pipelines.
• Understanding of agentic AI concepts: workflow orchestration, autonomous decision-making, human-in-the-loop design, and safety guardrails.
• Knowledge of data governance practices including AI ethics, security, privacy, compliance, and auditability.
• Ability to collaborate with engineers, AI product teams, and business leaders to make enterprise data agent-ready.

Why Join Us

At CC&LFG, you will help lay the foundation for agentic AI in financial services - designing the data, governance, and orchestration systems that make AI reliable, explainable, and enterprise-ready. You\'ll work on cutting-edge AI pipelines, enabling the business to move from AI-assisted insights to AI-driven autonomous workflows.

About Connor, Clark & Lunn Financial Group

At CC&L Financial Group, we understand the value of opportunity - for our clients and our team. Independent and employee-owned, we partner with investment professionals to grow successful asset management businesses, giving them the space to innovate and truly make an impact.

With more than 40 years of history and offices across Canada and in the US, the UK and India, CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over $155 billion in client assets, providing a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth and retail clients.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

To apply for this position, please submit your resume and cover letter as one PDF.

We thank all applicants in advance for their interest, but only those candidates shortlisted for interviews will be contacted. No telephone calls or recruitment agencies will be accepted.