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Added 14 mins ago
Cloud & Application Security Engineer
K&K Global Talent Solutions INC.
Quebec, QC
Full-time
As the Cloud & Application Security Engineer, you will serve as the principal design authority responsible for protecting our enterprise applications and hybrid multi-cloud digital…
Added 45 mins ago
Senior Systems Administrator
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Toronto, ON · Etobicoke, ON
Full-time
Microsoft Certified: Identity and Access Administrator Associate (SC-300), Azure Security Engineer Associate, or comparable Microsoft identity certification (within 6 mos).
Added 1 hour ago
AI Engineer Intern
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Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure.
Added 1 hour ago
Senior Systems Engineer - Identity and Access Management
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Added 1 hour ago
Senior Systems / Cloud Engineer
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Saint-Paul, NB · St.-Paul, NB
Full-time
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Added 3 hours ago
Senior DevOps Engineer
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Contract
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Added 3 hours ago
Azure Data Engineer (Automation & Integration)
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Toronto, ON
$85,000 to $100,000 CAD / year
Full-time
Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data…
Added 4 hours ago
Lead Senior Developer
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Added 4 hours ago
Senior Identity & Access Management Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Senior IAM Engineer to join our team based out of our Brampton office and own identity security for both people and AI agents across our company. We…
Added 5 hours ago
Senior Identity & Access Management Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated Senior IAM Engineer to join our team based out of our Brampton office and own identity security for both people and AI agents across our company. We…
Added 8 hours ago
Cloud Site Reliability Senior Engineer
Emplo Inc.
Ottawa, ON
Full-time
We are looking for a Cloud Site Reliability Senior Engineer to join a team delivering cloud SaaS products at scale. We need somebody who is passionate about the SRE method and a…
Added 16 hours ago
Network engineer
Total Cloud
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We are seeking an experienced and proactive network engineer to ensure the highest levels of reliability, security, and optimal performance for our corporate and critical lab network…
Added 17 hours ago
Ingénieur principal en plateforme (SRE), solutions d'IA/Senior Platform Engineer (SRE), AI Solutions
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Montreal, QC
…efficacement que grâce à une plateforme interne solide. Ce poste senior de niveau SRE est chargé de concevoir, développer et exploiter cette fondation : plateformes gérées, modèles de…
Added 18 hours ago
Senior Cloud Security Engineer ( Global Security)
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
The AWS Security Controls team within Cloud Security Engineering is working on several exciting initiatives to further secure RBC’s AWS environment. In this role as a Senior Cloud Security…
Added 20 hours ago
Cloud Security Engineer
Experis Canada
Montreal, QC
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Seeking a Senior Cloud Security Engineer with strong experience in Golang, HashiCorp Vault, and Azure/AWS/GCP to design and maintain secure, scalable, and highly available cloud security…
Added 20 hours ago
Senior Full Stack Engineer (React / NestJS / Azure)
Resonaite
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Our client is seeking a contract based Senior Full Stack Engineer focused on bujilding APIs and modern web applications using React, NestJS, and Azure cloud services.
Added 20 hours ago
Senior Java Microservices Engineer
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We are looking for highly skilled Senior Java Microservices Engineer to join a strategic client engagement in Calgary. We are looking for a hands-on senior engineer who combines strong…
Added 20 hours ago
Infra / Cloud & GenAI Architect
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Have Senior plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
Added 20 hours ago
Senior AI Engineer - Evisort AI
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Added 20 hours ago
Senior Software Engineer, Security Engineering (Auth0)
Okta
Toronto, ON
Senior Software Engineer, Security Engineering
Added 20 hours ago
Data Engineer
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Toronto, ON
Contract
We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in…
Added 21 hours ago
Senior Cybersecurity Test Engineer (35651)
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We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 22 hours ago
Databricks Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$75 to $95 CAD / hour
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Our client is seeking an experienced Senior Azure Databricks Data Engineer to design, build and support scalable enterprise data pipelines and modern lakehouse solutions. The successful…
Added 22 hours ago
Digital Solution Architect Lead Advisor
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Halifax, NS
Relevant certifications such as Microsoft Azure AI Engineer, Azure Solutions Architect, AWS AI Specialty, Google Cloud AI Engineer, or equivalent are desirable.
Added 23 hours ago
Senior Full-Stack Software Engineer - AI-Native Engineering, Java & React
Kaseya
Toronto, ON
Full-time
Senior Full-Stack Software Engineer - AI-Native Engineering, Java & React

Connor, Clark & Lunn Financial Group Ltd.

Senior Data Integration Engineer

Vancouver, BC, Canada

Pay: The salary range for this position is $140,000 - $160,000.
Posting language: English
Posted: Sep 28, 2026

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Original 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.

What We Offer
At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

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

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacquisition@cclgroup.com if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

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More about this job

Responsibilities

The Senior Data Integration Engineer will design, build, and manage scalable data pipelines and governance controls to support enterprise-wide AI and analytics. This role involves operationalizing agentic AI systems by ensuring data reliability, observability, and secure integration across business workflows.

Requirements

Candidates must have proven experience building resilient data pipelines and strong proficiency in SQL, Python, and modern orchestration frameworks. Expertise in data modeling, cloud platforms, and understanding of AI governance and agentic AI concepts is essential for this role.

Skills

Data integration
ETL/ELT
SQL
Python
Airflow
Prefect
Dagster
Azure
AWS
Microsoft Fabric
Data modeling
Vector databases
LLM
RAG pipelines
Workflow orchestration
Data governance

Benefits

Performance bonus
Retirement savings support
Wellness credits
Enhanced parental leave
Comprehensive health benefits
Continuous learning budgets
Paid study days
Flexible work practices

Visa sponsorship

Not detected in the job text

Keywords

Data Integration
AI Enablement
ETL
ELT
SQL
Python
Airflow
Prefect
Dagster
Azure
AWS
Microsoft Fabric
Data Modeling
Semantic Enrichment
Embeddings
Vector Databases
LLM
RAG
Agentic AI
Workflow Orchestration
Data Governance
AI Ethics
Observability
Audit Trails
Financial Services
Asset Management
Cloud Platforms
Data Pipelines
Autonomous Systems
Compliance

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