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Added 4 mins ago
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Data Engineer II
TD
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- Full-time
Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
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Software Engineer II
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- Full-time
…patterns and scalable engineering practices. You translate architecture and product requirements into quality software, working independently on complex components while partnering with…
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Added 34 mins ago
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Senior Information Systems Analyst
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Observability Engineer
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Added 49 mins ago
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Solution Architect
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Added 49 mins ago
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Data Engineer - MS Fabric & Azure Data Platform
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Toronto, ON · Greater Toronto Area, Canada
- Contract
Implement and support data quality, governance, lineage, and security best practices
Added 49 mins ago
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Added 49 mins ago
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Added 49 mins ago
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IT - Security Specialist V
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Toronto, ON
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Added 49 mins ago
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Data Architect
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Added 49 mins ago
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Added 1 hour ago
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Akkodis

Data Engineer - MS Fabric & Azure Data Platform

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 5, 2026
Experience: 5+ years of Data Engineering, Data Integration, or Data Platform experience
Posting language: English
Posted: Nov 5, 2026

Original job description

Title: Data Engineer - Microsoft Fabric & Azure Data Platform

Position Type: Contract

Industry Sector: Financial Services / Regulatory

Duration: 6 Month Contract (possibility for extensions)

Location: Greater Toronto Area - North GTA

Work Model: Hybrid - Target / preference is 4 days onsite but is willing to be flexible (2 - 3 days per week)

Engagement Model: Professional Services Engagement - B2B (Incorporated Entities Only)

About the Opportunity

Akkodis is partnering with a leading Ontario-based organization undergoing a major data modernization and analytics transformation initiative.

We are seeking an experienced Senior Data Engineer with strong expertise across Microsoft Fabric, Azure Data Services, enterprise data integration, and modern cloud-based analytics platforms.

This opportunity is ideal for a Data Engineer, Azure Data Engineer, Data Platform Engineer or Data Integration Specialist who enjoys designing scalable enterprise data solutions and enabling advanced reporting, analytics, and business intelligence capabilities.

The successful candidate will play a key role in building modern data pipelines, designing analytical data models, integrating enterprise datasets, and helping establish a scalable Microsoft Fabric-based data platform that supports business-critical reporting and decision-making.

What You'll Be Doing

Design, develop, and support enterprise data solutions within Microsoft Fabric
Build scalable ETL/ELT pipelines and data orchestration processes using Azure Data Factory and Fabric Data Factory
Integrate data from multiple enterprise platforms, databases, APIs, and business applications
Develop and maintain modern data warehouse and LakeHouse architectures
Design dimensional models, semantic layers, and reporting-ready datasets to support analytics and business intelligence initiatives
Optimize data performance, scalability, reliability, and operational efficiency across the platform
Implement and support data quality, governance, lineage, and security best practices
Collaborate with business stakeholders, technical teams, and project leadership to deliver enterprise data solutions
Support data migration and integration activities involving Microsoft Dataverse and Dynamics 365 environments
Contribute to architecture discussions, platform standards, and continuous improvement initiatives

Required Expertise

5+ years of Data Engineering, Data Integration, or Data Platform experience
Hands-on Microsoft Fabric implementation experience in a production environment
Strong Azure Data Factory (ADF) experience including pipeline development, orchestration, and monitoring
Advanced SQL and T-SQL development skills
Experience designing enterprise data warehouse, dimensional, and analytical data models
Strong understanding of ETL/ELT architecture, data integration patterns, and modern data engineering practices
Experience working with large-scale enterprise datasets and complex business data domains
Knowledge of data governance, data quality, security, lineage, and metadata management principles
Experience with Azure-based data architectures and cloud data platforms
Strong communication and stakeholder management skills

Nice to Have

Experience integrating Microsoft Dynamics 365 and Dataverse data into analytics platforms
Power BI development, semantic modeling, and enterprise reporting experience
Azure Synapse Analytics and Azure Data Lake experience
CI/CD, DevOps, and deployment automation for data platforms
Experience with Microsoft Purview or comparable data governance solutions
Real-time, streaming, or event-driven data architecture experience
Prior experience with SSIS, SSAS, or legacy Microsoft BI platforms
Microsoft Fabric, Azure Data Engineer, or related Microsoft certifications
Experience within financial services, insurance, government, or other regulated industries

Ideal Background

We are particularly interested in candidates who have worked as a Senior Data Engineer, Microsoft Fabric Engineer, Azure Data Engineer, Data Warehouse Developer, Data Platform Engineer or Data Integration Specialist within large enterprise environments.

The ideal candidate is someone who has delivered modern cloud-based analytics platforms, built enterprise-scale data pipelines, designed dimensional models, and leveraged Microsoft Fabric to support business intelligence, reporting, and advanced analytics initiatives.

Candidates with experience supporting data modernization programs, cloud migration initiatives, enterprise analytics platforms, and Microsoft-centric data ecosystems will be particularly well-positioned for success in this role.

How to Apply

If you are interested in learning more, don't hesitate to apply today or check-out Akkodis Canada website for more opportunities.

Important

This is a business-to-business engagement. Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions.

Accessibility:

At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

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More about this job

Responsibilities

Design, build, and support enterprise data solutions and scalable ETL/ELT pipelines using Microsoft Fabric and Azure services, integrating data from enterprise platforms, databases, APIs, and business applications. Develop warehouse and Lakehouse architectures, analytical models, and reporting-ready datasets while supporting data quality, governance, security, performance, and Dataverse/Dynamics 365 integration.

Requirements

Requires at least five years of data engineering, integration, or platform experience, production experience implementing Microsoft Fabric, strong Azure Data Factory skills, and advanced SQL/T-SQL. Candidates should also have experience with enterprise data models, large datasets, cloud data architectures, data integration practices, and governance, quality, security, lineage, and metadata principles.

Skills

Microsoft Fabric
Azure Data Factory
ETL/ELT Pipelines
SQL
T-SQL
Data Integration
Data Warehousing
Dimensional Modeling
Lakehouse Architecture
Data Orchestration
Data Governance
Data Quality
Data Security
Data Lineage
Microsoft Dataverse
Dynamics 365

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Azure Data Platform
Azure Data Factory
Fabric Data Factory
ETL/ELT
SQL
T-SQL
Data Engineering
Data Integration
Data Orchestration
Data Warehouse
Lakehouse
Dimensional Modeling
Semantic Modeling
Business Intelligence
Microsoft Dataverse
Dynamics 365
Power BI
Azure Synapse Analytics
Azure Data Lake
CI/CD
DevOps
Microsoft Purview
Data Governance
Data Quality
Data Lineage
Metadata Management
Streaming Data
Event-Driven Architecture
Financial Services

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