Power BI Developer at telesat

We are seeking a motivated Business Data Engineer with 2–5 years of experience in Lakehouse environments. This hybrid role combines the technical rigor of a Data Engineer with the business insight of a Data Analyst, building reliable data pipelines while partnering with stakeholders to deliver impactful analytics and reporting.   The ideal candidate has hands-on experience with Databricks, PowerBI, advanced SQL, Fivetran, data integration from on-prem and cloud systems (including Workday and Salesforce), and solid understanding of Python and Databricks Notebooks. Key Responsibilities • Design, develop, and maintain Power BI reports and dashboards • Develop complex SQL queries and data models for reporting and analytics • Support integration of data from multiple enterprise systems and cloud platforms • Collaborate with business stakeholders and Product Owner to gather and translate reporting needs into technical specifications • Support data validation, troubleshooting, and report performance optimization • Create and maintain technical documentation and user guides • Assist with Power BI administration, workspace management, and access controls • Support AI-driven data intelligence, reporting, and analytics initiatives to enhance business insights and decision-making Education and Experience • Bachelor’s degree in Computer Science, Information Systems, Business, or related field • Minimum of 4 years of hands-on experience in Power BI development, SQL, and data visualization best practices • Strong experience with data modeling, ETL processes, and databases • Experience translating business requirements into technical reporting solutions • Strong analytical, troubleshooting, and communication skills • Relevant certifications (e.g., Microsoft Power BI Dev or Data Analyst) are a plus. Preferred / Nice-to-Have • Power BI administration experience including workspace, gateway, and security management • Experience with Databricks and Azure-based data platforms • Experience with Python for data analysis, automation, or scripting • Understanding Lakehouse architecture, data warehousing concepts, and enterprise reporting architecture • Experience working in Agile project environments • Familiarity with data governance, security, and metadata management. • Exposure to CI/CD for data pipelines using Git or DevOps tools. • GenAI Agents and/or ML experience Decision Making and Supervision • Work under minimal supervision. • Make decisions and recommendations requiring analysis and interpretation within established procedures. Working Conditions • Generally comfortable working conditions with lifting and onsite installations. • Moderate visual concentration in use of video display terminal. The successful candidate must be able to work in Canada and obtain clearance under the Canadian Controlled Goods program (CGP). #LI-MF1