Position Type:

Contract

Industry Sector:

Financial Services / Regulatory

Duration:

6 Month Contract (possibility for extensions)

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 robust 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.

I

📌 Data Engineer (Winnipeg)
🏢 Akkodis
📍 Winnipeg