Data & Automation Engineer – AI
Location: Toronto, ON | Hybrid
Contract: 12 Months
Experience: 4–7 Years
We are seeking a hands-on Data & Automation Engineer to join our Wealth Client Optimization team, supporting campaign automation, data engineering, cloud modernization, and AI enablement.
Key Responsibilities
- Design and develop scalable data pipelines, integrations, and automated workflows.
- Build solutions using Python, SAS, and SQL for data processing and automation.
- Integrate data and AI/ML model outputs with downstream platforms.
- Develop APIs and workflow orchestration solutions.
- Support SAS-to-cloud migration and modernization initiatives.
- Work with CRM, campaign, fulfillment, and reporting platforms.
- Implement data-quality checks and automated testing.
- Partner with data scientists, analysts, technology teams, and business stakeholders to deliver scalable solutions.
Must-Have Skills
- 4–7 years of relevant Data Engineering / Data Automation experience.
- Strong hands-on Python, SAS, and SQL.
- Experience developing data pipelines, ETL, data integration, and automation.
- Experience with AWS, Azure, GCP, Databricks, or Spark.
- Knowledge of APIs, workflow orchestration, and technical solution design.
- Strong communication and stakeholder management skills.
Nice to Have
- AI/ML model integration
- SAS-to-AWS/cloud migration
- CRM or campaign management platforms
- Data quality and automated testing
- Financial services, banking, or wealth management experience
- Campaign analytics, customer targeting, or client optimization experience
