Data Engineer

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