Senior Analyst, Data Engineering

What You'll Do 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. Qualifications Skills & Experience 3 to 6 years of experience in Data Engineering, Analytics, Business Intelligence, or related fields. Hands-on experience with Microsoft Fabric. Strong 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. Strong analytical and problem-solving abilities. Excellent communication and stakeholder engagement skills. Ability to work independently while collaborating effectively within a team. 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. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate. See more information on our benefits here: Canada Employee Benefits | Avanade British Columbia / Ontario - CAD76,250 - CAD90,600