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Added 15 mins ago
Cloud Analyst
Sun Life Québec
Montreal, QC
Full-time
AWS/Azure/GCP or Linux Foundation Certification (e.g., Certified Solution Architect, Certified DevOps Engineer, Kubernetes and Cloud Native Associate etc.) are a plus
Added 46 mins ago
Site Reliability Engineer II (AI Platform)
OpenTable
Toronto, ON
As a Site Reliability Engineer II on the Serving Platforms team within Infrastructure Engineering, you will design, automate, and manage the core container stack and infrastructure powering…
Added 1 hour ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores,…
Added 1 hour ago
Lead Harness Engineer
Government of Alberta
AB
…evolved, and governed, balancing innovation with reliability, security, and public sector…
Added 2 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
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…
Added 2 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
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…
Added 3 hours ago
DevOps Engineer/Platform Engineer - Azure
Pet Valu
Markham, ON
Full-time
Looking for DevOps Engineer/ Platform Engineer to help design and operate the infrastructure and CI/CD platform supporting our cloud-based applications. This role focuses on building…
Added 3 hours ago
Cloud Analyst
Sun Life
Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
Full-time
AWS/Azure/GCP or Linux Foundation Certification (e.g., Certified Solution Architect, Certified DevOps Engineer, Kubernetes and Cloud Native Associate etc.) are a plus
Added 3 hours ago
Senior Cloud Security Engineer (Golang & HashiCorp Vault)
J&M Group
Montreal, QC
Contract
We are hiring for a Senior Cloud Security Engineer (Golang & HashiCorp Vault). This role focuses on building secure, scalable cloud infrastructure and security solutions using Golang,…
Added 4 hours ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 4 hours ago
Principal Engineer (Director) Cloud
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Strong knowledge of infrastructure solutions, specifically in relation to cloud providers (AWS and Azure), platform migration, system security, enterprise directories, and cloud technologies
Added 4 hours ago
Sr. DevOps / Cloud Infrastructure Engineer
Brainpower360
Montreal, QC
$120,000 to $140,000 CAD / year
Full-time
Design and develop Infrastructure as Code for highly available and scalable systems.
Added 4 hours ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Full-time
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 4 hours ago
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
Full-time
We are seeking an experienced Software Engineer with a strong foundation in software development and hands-on experience building with Generative and Agentic AI. This new role is the first…
Added 4 hours ago
Backup & Recovery Engineer - Managed Services
MNP
Montreal, QC
Full-time
…business continuity objectives. It also works closely with Infrastructure, Security, Service Desk, and Project teams to develop resilient backup architectures, validate recovery…
Added 4 hours ago
Backup & Recovery Engineer - Managed Services
MNP
AB · Edmonton, AB
Full-time
…business continuity objectives. It also works closely with Infrastructure, Security, Service Desk, and Project teams to develop resilient backup architectures, validate recovery…
Added 4 hours ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 5 hours ago
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
Support security assessment and enablement for platforms and frameworks such as Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Azure AI services, Enterprise Gemini, Cursor AI,…
Added 5 hours ago
Sr. Network Solution Design Engineer, Functional Engineering
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
5+ years of experience in Network Security, Cybersecurity, or Infrastructure Engineering.
Added 5 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 5 hours ago
M365 Engineer
McKesson
Mississauga, ON
Full-time
McKesson is seeking a M365 Engineer to design, implement, and support enterprise collaboration technologies that enable secure, reliable, and scalable digital workplace experiences. This…
Added 5 hours ago
Ingénieur(e) réseau senior / Senior Network Engineer
XNRGY Climate Systems
Longueuil, QC
Full-time
Assumer la responsabilité complète de l’infrastructure réseau TI, incluant les routeurs, commutateurs (switches), le câblage et autres systèmes critiques, de la planification stratégique…
Added 5 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 5 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON · North York, ON
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 6 hours ago
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…

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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