Data Engineer: ETL & Power Platform, AI/ML Ops

Kinsley Power Systems

Ottawa

On-site

CAD 90,000 - 120,000

Full time

14 days+
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Job summary

CATSA is seeking a Data Engineer within the Technology branch in Ottawa to analyze, develop, implement, and support data solutions, including ETL, Power Platform, and AI/MLOps operations. The role emphasizes building dashboards, applications, and automated workflows to drive data-driven decisions.

The ideal candidate has a university degree in CS/IT or related field, 3+ years of SQL experience, 3+ years in Power Platform, and 2+ years with ETL/data engineering tools, with strong communication

Qualifications

  • Bachelor's degree in Computer Science, Information Technology/Management, or related field, or equivalent education/experience.
  • Minimum 3 years of advanced SQL experience.
  • Minimum 3 years of experience using Microsoft Power Platform tools (PowerApps, Power Automate, Power BI).
  • Minimum 2 years of experience with ETL/data engineering tools (e.g., SSIS, DataStage, Informatica, Azure Data Factory, Azure Synapse).

Responsibilities

  • Design and create interactive dashboards and reports using Power BI for data-driven insights.
  • Develop custom applications with PowerApps to meet business requirements.
  • Automate workflows with Power Automate to improve efficiency.
  • Design, develop, and maintain scalable data pipelines for data integration and analytics.
  • Implement and manage ETL processes to ensure data quality across sources.

Skills

SQL
Analytical thinking
Communication
Team collaboration
Power Platform adoption

Education

Bachelor's degree in Computer Science / Information Technology or related field

Tools

Power BI
PowerApps
Power Automate
SSIS
Azure Data Factory
Azure Synapse
Python

Job description

CATSA is seeking a Data Engineer within the Technology branch in Ottawa to analyze, develop, implement, and support data solutions, including ETL, Power Platform, and AI/MLOps operations. The role emphasizes building dashboards, applications, and automated workflows to drive data-driven decisions.

The ideal candidate has a university degree in CS/IT or related field, 3+ years of SQL experience, 3+ years in Power Platform, and 2+ years with ETL/data engineering tools, with strong communication

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