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Added 9 mins ago
Data Engineer – PySpark & SQL
Capgemini
Mississauga, ON
Full-time
We are looking for an experienced 3+ years of Data Engineer with strong hands-on expertise in PySpark, Python, SQL, and data engineering. The ideal candidate should have experience building…
Added 40 mins ago
Analytics Engineer
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Mississauga, ON
Full-time
The Analytics Engineer acts as a full‑stack data professional, owning the end‑to‑end flow of data - from ingestion and transformation to modeling, analysis, and insight delivery. This role…
Added 1 hour ago
Senior BigQuery Engineer (Local to Quebec)
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Montreal, QC
Contract
We are seeking a Senior BigQuery Engineer to design, build, and optimize scalable data solutions on Google Cloud Platform. This role will develop reliable data warehouses, ETL/ELT…
Added 1 hour ago
Senior Data Engineer
AgileGrid Solutions
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Full-time
The Data and AI Technology (DAT) Engineering team at BMO is seeking a highly skilled Data Engineer to join our dynamic group. This role involves leading the end-to-end development of data…
Added 1 hour ago
Azure Data Engineer (Automation & Integration)
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$85,000 to $100,000 CAD / year
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Added 1 hour ago
Data Engineer
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…Databricks, or something like them. You know data modeling, ETL and ELT, and how to make slow things…
Added 2 hours ago
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Senior Data Engineer (Python / AWS / ML Pipelines)
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Added 5 hours ago
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MuleSoft Integration Engineer, Durham, NC, US
Added 14 hours ago
Senior Data Engineering
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Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
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We are looking for an exceptional analytics/data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing…
Added 17 hours ago
Platform Engineer – Netezza
K&K Global Talent Solutions INC.
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…platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise…
Added 19 hours ago
Data Engineer
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Toronto, ON
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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 19 hours ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
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Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 20 hours ago
Senior Software Engineer
Supernova Technology™
Toronto, ON
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Added 20 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 23 hours ago
Snowflake Data Engineer
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Toronto, ON
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Added 23 hours ago
Test Engineer - Databricks
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Toronto, ON
$105,000 to $135,000 USD / year
Full-time
As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation.…
Added 1 day ago
GCP Senior Data Engineer
J&M Group
Canada
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Develop ETL/ELT solutions using Dataflow, Spark, Pub/Sub, and BigQuery.
Added 1 day ago
Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Software Engineer to build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work across…
Added 1 day ago
Jr. Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Jr. Software Engineer to help build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work…
Added 1 day ago
Senior Databricks Data Engineer / Solutions Architect
vikat.AI
Ottawa, ON
Contract
We’re looking for a **Senior Databricks Data Engineer / Solutions Architect** to own an **Azure Databricks Lakehouse** from data ingestion and engineering through governed data products,…
Added 1 day ago
GCP Senior Data Engineer
Axiom Global Technologies
Canada
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Build pipelines: Design and improve ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub and Cloud Functions
Added 1 day ago
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
· Strong experience in designing and building DWH, Data lake ETL based applications with scalability and performance
Added 1 day ago
Snowflake Engineer
Arkhya Tech Inc.
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 day ago
Technology Lead - Databricks Admin
Infosys
Mississauga, ON
$92,740 to $123,375 CAD / year
Full-time
Databricks certifications (Admin, Associate Data Engineer, or Architect).

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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