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Engineering Technical jobs

  • Sr. Data Engineer

    Winnipeg
    Permanent
    CA$80,000 - CA$100,000 per year

    Winnipeg based, onsite - 5 days.

    Responsible for building, maintaining, and optimizing data pipelines while ensuring the accuracy, security, and reliability of enterprise data. The position combines cloud-based data engineering, analytics, troubleshooting, and collaboration with technical and operational teams to deliver scalable data solutions and support business initiatives.

    • Work with modern Azure data platforms and build scalable data solutions.
    • Ownership of data pipelines, analytics, and cloud engineering projects
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  • Data QA Analyst

    Winnipeg
    Permanent
    CA$75,000 - CA$90,000 per year

    As a Data QA Analyst, you will be responsible for ensuring the accuracy and reliability of data within the technology systems. This includes designing and executing test plans, identifying data inconsistencies, and collaborating with the technology team to resolve issues.

    • Opportunity with room for growth and the ability to make an immediate impact.
    • Join a a growing organization and work with a team of like-minded professionals.
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  • Senior Data Analyst

    Winnipeg
    Permanent
    CA$85,000 - CA$95,000 per year

    As a Sr. Data Analyst, you will work within the Technology department to analyze and interpret complex datasets to support decision-making processes. Your role will involve developing data models and creating visualizations to provide actionable insights for stakeholders in the industrial and manufacturing sectors.

    • Opportunity with room for growth and the ability to make an immediate impact.
    • Join a a growing organization and work with a team of like-minded professionals.
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  • Manager, AI Governance & Enablement

    Greater Toronto Area
    Permanent
    CA$115,000 - CA$125,000 per year
    Hybrid working

    This role leads AI governance, education, advisory services, and adoption across the organization, ensuring AI initiatives align with privacy, security, risk, and business objectives. The successful candidate will guide responsible AI use, support enterprise-wide enablement, advise stakeholders on AI opportunities, and help scale practical, controlled AI innovation.

    • Lead enterprise AI governance and shape responsible AI adoption company-wide.
    • Partner with executives to drive AI strategy, education, and innovation
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