IT Specialist, Enterprise Applications – Data Engineering Professional, Analytics

Saputo Inc.

Data Engineer developing and supporting scalable analytics solutions on Microsoft Fabric for a leading dairy processor. Collaborating with stakeholders and ensuring alignment with BI strategy.

Posted 5/22/2026full-timeSaint-Laurent • 🇨🇦 CanadaMid-LevelSenior💰 CA$102,075 - CA$133,975 per yearWebsite

Tech Stack

Tools & technologies

AzureSparkSQL

About the role

Key responsibilities & impact

Partner closely with stakeholders to translate business requirements into Fabric-based data models, pipelines, and analytical solutions
Contribute to the end-to-end design and evolution of a scalable enterprise analytics architecture using Microsoft Fabric
Collaborate with Business SMEs and technical teams (Infrastructure, SAP, Non-SAP systems) to design and deliver sustainable, governed analytics solutions
Preparation and facilitation of design workshops with documented outcomes (requirements, design, data models)
Contributes to work effort estimation for new and enhanced analytics solutions
Ensure solutions are scalable, secure, cost-effective, and aligned with BI strategy
Design and develop high-performance data engineering components capable of processing large volumes of structured and semi-structured data
Build reusable, enterprise-grade data models (Lakehouse and semantic models) aligned with architectural standards and best practices
Contribute to administration, governance, and operational health of the Microsoft Fabric platform
Define and execute test strategies, including data validation, performance tuning, and data profiling
Monitor Fabric pipelines, data refreshes, and workloads, proactively troubleshoot and resolve issues
Own incident resolution and day-to-day sustainment of Fabric analytics solutions
Utilize Microsoft Analytics tools for seamless integration and efficient user interface development to enhance overall user experience
Optimize SQL, Spark, and DAX queries (added advantage) for performance and scalability
Coach and mentor analytics, functional and business teams on Microsoft Fabric capabilities, patterns, and best practices
Operates independently while ensuring alignment with enterprise BI and analytics strategy
Capable of leading technical delivery, including design, build, test, and deployment phases
Oversees project and support activities such as troubleshooting, enhancements, capacity planning, upgrades, and migrations
Effectively manages multiple initiatives in parallel within a complex, fast-paced environment
Communicates clearly and collaborates effectively with cross-functional and geographically distributed teams

Requirements

What you’ll need

Bachelor’s degree in Information Systems, Computer Science, Software Engineering, or equivalent experience
6+ years of hands-on experience delivering enterprise analytics and data engineering solutions on Microsoft platforms
Strong experience engineering solutions on Microsoft Fabric and modern Azure analytics services, with understanding and working knowledge of other industry-standard analytics and data engineering tools.
Microsoft Azure / Fabric certifications (nice to have)
Bilingual English/French (nice to have)
Strong foundation in: Data ingestion and integration
Data transformation and orchestration
Data storage, data lakes, and lakehouse architectures
Data warehousing and dimensional modeling
Experience with CI/CD, DevOps, and source control (Azure DevOps, GitHub)
Understanding of administration, security, and governance for Microsoft analytics platforms
Experience with enterprise delivery methodologies (Agile/ Waterfall) and estimation practices
Robust understanding of Optimization techniques to improve ingestion process
Experience in developing re-usable template for ingestion process
Experience in building real time solutions end to end
Experience in ingesting data from SaaS, on-prem, PaaS, SharePoint and different file formats
Understanding of advanced AI technologies like ML, Agentic AI - Nice to have
Strong written and verbal communication skills, especially for technical design documentation
Ability to operate effectively across complex, interdependent workstreams, teams, and geographies
Up-to-date knowledge of industry trends and best practices in data engineering and analytics

Benefits

Comp & perks

Generous and complete benefit coverage with group insurance
Group retirement plan with employer contribution
Telemedicine and assistance program for employees and their families
Employee Share Ownership Plan with an employer match
Paid Parental Leave program
Paid time off: Sick days, floater days and volunteer day off
Opportunity to contribute to a collective RRSP & TFSA
Training and development programs
Saputo Flex Program, flexible work environment (schedule/location/time off) according to department needs
Organized activities for employees and their families
Advantageous discounts on Saputo products

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata modelingdata transformationdata orchestrationSQLSparkDAXCI/CDDevOpsdata warehousing

Soft Skills

communicationcollaborationleadershipmentoringproblem-solvingproject managementadaptabilityorganizational skillsfacilitationstakeholder engagement

Certifications

Microsoft Azure certificationMicrosoft Fabric certification