Vancouver, Bc Data engineer Jobs – 29 Openings This Week

Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd. —Vancouver, BC
- $140,000–$160,000 a year
- Hybrid work
- Azure
- Databases
- SQL
Quick apply
Engineering Assurance Analyst
Metrolinx —Canada
- $82,683 a year
- Full-time
- PMP
- Engineering
- Databases
8d

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ICBC —North Vancouver, BC
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Business System Analyst
Lordco Auto Parts —Port Coquitlam, BC
Integrating and supporting best-in-class enterprise-wide applications to provide for our customers as well as our internal teams.
$80,000–$120,000 a year
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Data Engineer
Tactable —Toronto, ON
Career coaching and personalized development plans. Regular social events, team outings, and wellness activities. Software development: 7 years (required).
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Data Engineer
Intone Networks —Toronto, ON
Strong Python with PySpark Hands-on experience with Apache Spark (preferably in cloud environments…

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Senior Data Integration Engineer

Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC

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Job details

Skills

Data development experience
Data modeling
Data integration
Azure
Law
Data and database experience
Data governance
Databases
SQL
Event-driven architecture
AWS
Machine learning
Airflow
APIs
Cloud computing
Financial services
Metadata
AI
Python
Pipeline

Full 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.

#LI-hybrid #LI-KC1

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

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.

Quick apply

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