Posted last month
Senior Analyst, Data Engineering
@ Avanade Canada Inc. Company
Toronto, Ontario
Overview
Avanade Canada Inc. is hiring a Senior Analyst, Data Engineering, a full-time role building data pipelines and analytics solutions on Microsoft Fabric, Python and SQL. The work covers pipelines, data quality, stakeholder requirements and reporting support. The posting gives a base pay range of CAD 76,250 to 90,600 for British Columbia and Ontario and requires eligibility for a Government of Canada Secret security clearance.
Responsibilities:
- Build and maintain data pipelines using Microsoft Fabric, Python and SQL
- Perform data discovery, profiling and quality validation
- Gather requirements and translate business needs into technical solutions
- Support reporting, analytics and AI use cases
Requirements summary:
- 3 to 6 years in data engineering, analytics or BI
- Hands-on Microsoft Fabric experience
- Strong Python and SQL skills
- Experience building ETL/ELT pipelines
- Eligible for Government of Canada Secret clearance
Tools & skills
Source and dates
Employer career site / ATS feed · workday
- Employer posting date
- 2026-09-29
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Security clearance | Secret |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Avanade Canada Inc. Company
| Field | Value |
|---|---|
| Open jobs on Jobsy | 29 |
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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