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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals & Office users. Power BI’s core value proposition is to enable end users to get answers & insights from their data through data visualization. As a Software Engineer I, you will contribute to the quality and reliability of Power BI Desktop and Service by developing and maintaining automation frameworks, test strategies, and engineering tools. You will work alongside experienced engineers to integrate AI and GenAI technologies into testing and development workflows, helping improve engineering efficiency and compliance. You’ll participate in live site operations, telemetry instrumentation, and secure troubleshooting practices. This role offers opportunities to learn modern testing architectures, collaborate across global teams, and support high-quality weekly releases for Power BI Service and monthly releases for Power BI Desktop.
Job Responsibility:
Implement and maintain automation scripts and test cases to support reliable releases of Power BI Service and Desktop
Assist in building engineering systems that improve developer productivity and support compliance
Contribute to GenAI integration and telemetry instrumentation in testing workflows
Support live site operations, incident response, and system health monitoring
Collaborate with cross-functional teams to align on goals, timelines, and quality standards
Participate in tracking success metrics and applying insights to improve engineering outcomes
Requirements:
Bachelor’s degree in Computer Science or related technical field AND 2 years of technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, JavaScript, or Python
Familiarity with testing frameworks OR engineering systems
Strong communication and collaboration skills across disciplines and global teams
Nice to have:
Masters’s degree in Computer Science
Exposure to Power BI or other business intelligence technologies
Experience with PowerShell, Azure DevOps (ADO), GitHub, Kusto
Interest in quality, automation, and engineering efficiency through data-driven insights and GenAI integration
Handson experience with AI, Data Modelling, power query, DAX