Closed listing
Senior Data Integration Engineer
- Toronto, ON, Canada
The salary range for this position is $140,000 - $160,000. · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- The salary range for this position is $140,000 - $160,000.
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
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.
- Implement robust controls for security, privacy, compliance, and bias mitigation.
- Establish observability and audit trails for agentic AI pipelines, ensuring transparency and accountability.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
More about this job
Responsibilities
The Senior Data Integration Engineer will design, build, and manage data pipelines and governance controls for enterprise-wide AI and analytics. This role involves ensuring data is optimized for autonomous AI systems and creating a trusted foundation for AI agents and workflows.
Requirements
Candidates should have proven experience in building resilient data pipelines and strong skills in SQL, Python, and orchestration frameworks. Familiarity with cloud platforms and expertise in data modeling and AI concepts are also required.
Skills
- Data Integration
- ETL
- ELT
- SQL
- Python
- Orchestration Frameworks
- Cloud Platforms
- Data Modeling
- Semantic Enrichment
- Embeddings
- Vector Databases
- AI Ethics
- Security
- Privacy
- Compliance
- Auditability
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Finance & Accounting
- Software
Keywords
- Data Integration
- ETL
- ELT
- SQL
- Python
- Orchestration Frameworks
- Cloud Platforms
- Data Modeling
- Semantic Enrichment
- Embeddings
- Vector Databases
- AI Ethics
- Security
- Privacy
- Compliance
- Auditability
- AI
- Analytics
- Governance
- Autonomous Systems
- Event-Driven Data Flows
- Feedback Loops
- Monitoring Systems
- Knowledge Sharing
- Collaboration
- Business Value
- Agentic AI
- Workflows
- Data Governance
- Performance Bonus