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AI Automation Engineer – Data Integration and Workflow Automation
Job Location:
Monthly Salary:
Experience Required:
Posted:
7 July 2026 (30+ days ago)
Posted:
Application Deadline:
4 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
AI Automation Engineer Integration Workflow Automation & Data Analytics
Location: Montreal QC
Work Model: Hybrid (3 days per week in office)
Required Skills
API Development & Integration Engineering
Workflow Automation (Power Automate or equivalent)
Data Analytics & Business Intelligence (BI)
Job Summary
Design and implement scalable AI-driven automation solutions across enterprise systems.
Develop integrations automation workflows and data analytics solutions to enable data-driven decision-making.
Key Responsibilities
Integration Development & Engineering
Design develop and maintain APIs connectors and integration pipelines across internal and external systems.
Enable data exchange between enterprise applications cloud platforms and third-party tools.
Build and optimize ETL/ELT pipelines for automation and analytics use cases.
Ensure integrations are secure scalable and performant.
Troubleshoot and resolve integration issues while maintaining system reliability.
Automation Development & Workflow Management
Design and implement automation workflows using Power Automate or equivalent platforms.
Develop automated solutions for notifications approvals exception handling and business process orchestration.
Act as SME for workflow design and process optimization.
Collaborate with stakeholders to identify automation opportunities and streamline manual processes.
Monitor maintain and enhance automation workflows for efficiency and reliability.
Data Analytics & Business Intelligence
Perform data mapping transformation and reconciliation across systems.
Develop dashboards and reports using BI tools such as Power BI or Tableau.
Enable real-time reporting for business and operational insights.
Ensure data quality consistency and accuracy across reporting systems.
Translate business requirements into analytical models and visualizations.
Required Skills:
60-70
Required Education:
Job Overview:Were seeking an experienced ETL Pipeline Developer proficient in Python to design implement and maintain robust data pipelines. This role is critical for transforming raw data into valuable business insights across our Responsibilities: Architect and build efficient ETL pipelines in Python to process diverse data sources Implement data transformation logic using pandas for complex manipulations and aggregations Document pipeline architecture data flows
