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Avanade

Senior Analyst, Data Engineering

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Experience: 3 to 6 years of experience in Data Engineering, Analytics, Business Intelligence, or related fields.
Posting language: English
Posted: Sep 30, 2026

Apply About employer

Applications open in a new tab.

Original job description

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

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More about this job

Responsibilities

Design, build, and support data engineering and analytics solutions, including pipelines and data products using Microsoft Fabric, Python, SQL, and cloud-native services. Collaborate with stakeholders and technical teams to translate business needs into solutions, support reporting and AI use cases, and improve data workflow performance, reliability, governance, and security.

Requirements

Requires 3 to 6 years of experience in data engineering, analytics, business intelligence, or a related field, with hands-on Microsoft Fabric experience and strong Python and SQL skills. Candidates should have experience with ETL/ELT pipelines and modern data architectures, strong analytical and communication abilities, and eligibility to obtain and maintain a Government of Canada Secret Security Clearance.

Skills

Microsoft Fabric
Python
SQL
Data Engineering
Data Analytics
ETL/ELT Pipelines
Data Transformations
Data Warehousing
Data Lakes
Dimensional Modeling
Data Profiling
Data Validation
Data Quality Assessment
Stakeholder Engagement
Cloud-Native Services
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Python
SQL
Data Engineering
Data Analytics
Business Intelligence
ETL/ELT
Data Pipelines
Data Transformations
Data Products
Cloud-Native Services
Data Discovery
Data Profiling
Data Validation
Data Quality
Reporting
Artificial Intelligence
Data Warehousing
Data Lakes
Dimensional Modeling
Modern Analytics Architectures
Data Governance
Data Security
Data Management
Government of Canada Secret Security Clearance
IT Services
IT Consulting

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