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Azure Data Integration Engineer Jobs in Toronto, ON

KPMG

Senior Consultant, Azure Data Engineer

Toronto, ON · On-site

Develop scalable data processing frameworks using Databricks and integrate them into Azure-based ... Certification in Azure Data Engineer Associate or Azure AI Engineer Associate is an asset but not ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

We are looking for strong hands on Data Engineering skillset focused heavily on Azure Data Factory ... Implement data ingestion and curation data pipelines that offer an integrated, business-centric ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Implement data ingestion and curation data pipelines that offer an integrated, business-centric ... Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse ...

TMX Group

Integration Developer

Toronto, ON

The Data Integration Developer is responsible for the design, development, implementation, and ... Experience with one or more ETL/data integration tools (e.g., Fivetran, Informatica, Talend, Azure ...

Cineplex

Sr. Data Engineer

Toronto, ON · Hybrid

Own and support data integrations between Databricks, Braze, and other customer engagement ... Hands-on experience with Azure Databricks, Azure Data Factory, dbt, Git, Azure DevOps, CI/CD ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

Implement data ingestion and curation data pipelines that offer an integrated, business-centric ... Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse ...

Manulife

Data Engineer

Toronto, ON · On-site

Integrate data from various sources, ensuring data quality and consistency, and prepare it for ... Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server ...

Manulife

Data Engineer

Toronto, ON

Integrate data from various sources, ensuring data quality and consistency, and prepare it for ... Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server ...

IKO Industries, Inc

Senior Data Engineer

Mississauga, ON

CA$130K - CA$140K/yr

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ... Develop and optimize ETL/ELT pipelines using modern data integration solutions like Azure Data ...

Vancity

Senior Integration Engineer

Toronto, ON · Hybrid

We're seeking a Senior Integration Engineer with deep expertise in Azure Integration Services and ... Applying knowledge of financial services processes, data integrity, and regulatory requirements to ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

JLL

Data Engineer 2

Toronto, ON · On-site

Design database schemas and data integration patterns * Work with cloud services (Azure/AWS/GCP ... Programming : Intermediate Python skills including decorators, generators, object-oriented ...

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All JobsAzure Data Integration Engineer JobsAzure Data Integration Engineer Jobs in Toronto, ON

Senior Data Integration Engineer

Toronto, ON • Hybrid

Connor, Clark & Lunn Financial Group Ltd.
See more jobs at Connor, Clark & Lunn Financial Group Ltd.external

CA$140K - CA$160K/yr

Full-time

Re-posted 27 days ago

Job description

Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, 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. 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. You will create the trusted foundation on which AI agents, copilots, and orchestration frameworks securely operate. Our offices currently operate on a hybrid model with three days in office.

What You Will 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. 

The salary range for this position is $140,000 - $160,000.  The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process.

 

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