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.

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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

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