Design, develop, and support data engineering and analytics solutions using modern Microsoft technologies. Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services. Collaborate with business stakeholders to gather requirements, understand business processes, and translate needs into technical solutions.

Perform data discovery, profiling, validation, and quality assessment activities. Support the development of reporting, analytics, and AI use cases. Contribute to solution design workshops, technical documentation, and client presentations.

Troubleshoot and optimize data processing workflows to improve performance and reliability. Work closely with architects and senior team members to implement best practices for governance, security, and data management. Continuously learn and adopt emerging technologies in Data, Analytics, and Artificial Intelligence.

Design, develop, and support data engineering and analytics solutions using modern Microsoft technologies. Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services. Collaborate with business stakeholders to gather requirements, understand business processes, and translate needs into technical solutions.

Perform data discovery, profiling, validation, and quality assessment activities. Support the development of reporting, analytics, and AI use cases. Contribute to solution design workshops, technical documentation, and client presentations.





Troubleshoot and optimize data processing workflows to improve performance and reliability. Work closely with architects and senior team members to implement best practices for governance, security, and data management. Continuously learn and adopt emerging technologies in Data, Analytics, and Artificial Intelligence. 3 to 6 years of experience in Data Engineering, Analytics, Business Intelligence, or related fields. ~ Hands-on experience with Microsoft Fabric. ~ Robust programming skills in Python. ~ Strong SQL skills and experience working with relational and analytical data platforms. ~ Experience building ETL/ELT pipelines and data transformations. ~ Understanding of data warehousing, data lakes, dimensional modeling, and modern analytics architectures. ~ Eligible to obtain and maintain a Government of Canada Secret Security Clearance.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. At Avanade, we advance the world through the power of people and Microsoft.

Our partnership with Microsoft and Accenture empowers you to unlock your full potential. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities.

📌 Senior Analyst, Data Engineering (Toronto)
🏢 1205 Avanade Canada Inc.
📍 Toronto