Data Engineer - MS Fabric & Azure Data Platform

Toronto, ON
Hybrid
Posted Nov 6, 2026
1 position

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Employment type: Contract
Posting language: English
Office presence: 4 days per week
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

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.

Job details

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.

What you’ll do

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.