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Added 19 mins ago
Backend Engineer – Python (API & Platform Engineering)
Staffingine LLC
Toronto, ON
Contract
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 19 mins ago
Senior Java Backend Developer
Avanciers Inc.
Toronto, ON
$130,000 to $140,000 USD / year
Full-time
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Added 34 mins ago
Enterprise Security Architect
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Toronto, ON
Contract
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Added 49 mins ago
Staff Software Engineer
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Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
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Added 49 mins ago
Senior Software Engineer
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$136,000 to $187,000 CAD / year
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Added 1 hour ago
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Staff Software Engineer
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Founding Sales Lead: Make AI Make Sense
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Canada
Contract
…control. No matter which AI providers they use, no matter which cloud they're…
Added 1 hour ago
Senior Software Engineer (Python + DevOps)
Keasis
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We are looking for a technically strong Software Engineer with deep Python expertise and practical DevOps experience to build, deploy, operate, and improve technology solutions across…
Added 1 hour ago
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
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· Cloud technologies (AWS data services, AWS Glue, AWS Lambda, Integration with Active directory, masking and encryption, Governance activities – Lineage, Catalog, classifications.…
Added 1 hour ago
Principal Defence Systems Engineer
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Full-time
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Added 1 hour ago
Principal Platform Engineer
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Remote, Canada
Full-time · Remote
…cater to diverse industries with a commitment to reliability, security, and…
Added 1 hour ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
…we’re looking for a curious, impact-driven Senior Software Engineer to join our growing team – someone who thrives on taking smart risks, experimenting boldly, and learning from every…
Added 1 hour ago
Senior Software Engineer, Multiple Teams
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Remote, Canada
Full-time · Remote
…we’re looking for a curious, impact-driven Senior Software Engineer to join our growing team – someone who thrives on taking smart risks, experimenting boldly, and learning from every…
Added 1 hour ago
Senior Software Engineer (Voyager)
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Remote, Canada
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Added 1 hour ago
Snowflake Engineer
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Canada
Full-time
We are seeking a Lead Data Engineer with 14+ years in IT and 10+ years specializing in data engineering to build, optimize, and maintain high-performance cloud data pipelines. You will lead…
Added 1 hour ago
Senior Splunk Engineer
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Toronto, ON
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Audit & Risk: Prior exposure to internal audit processes, external regulatory examinations, or cloud security cost/scalability metrics.
Added 1 hour ago
Artificial Intelligence Engineer
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Montreal, QC
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Work with cloud platform, network, and security teams on connectivity, egress policy, network controls, and architecture review, and produce the evidence those reviews require.
Added 1 hour ago
Technology Lead - Databricks Admin
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$92,740 to $123,375 CAD / year
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Deep knowledge of cloud storage, networking basics, IAM, and security best practices.
Added 2 hours ago
Java Software Engineer
KTek Resourcing
Montreal, QC
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Experience with AWS for cloud-based application development and deployment.
Added 2 hours ago
Identity & Access Management Engineer
Tekgence Inc
Toronto, ON
Contract
Proven experience with Cloud IAM solutions, specifically Okta Workforce Identity.
Added 2 hours ago
Principal Automation Engineer - TOR
isgSearch
Toronto, ON · Greater Toronto Area, Canada
Full-time
Design and implement scalable automation solutions across Linux, virtualization, container, and hybrid cloud environments.
Added 2 hours ago
Identity & Access Management Engineer
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Toronto, ON
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We are seeking an experienced Identity & Access Management Engineer to lead the migration of approximately 100 applications from legacy SiteMinder and Nexus platforms to Okta Workforce…
Added 2 hours ago
Security Software Engineer
Actalent
Ottawa, ON
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We're looking for a Security Software Engineer to help build and secure the systems that establish trust across devices, manufacturing environments, and cloud services. This role is ideal…

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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