IT Specialist, Enterprise Applications - Data Engineering Professional - Analytics

Benefits

Additional Information

At Saputo, we bring good to the table by making high-quality products, investing in our people, and supporting communities around the world . As a top 10 global dairy processor, we value contributions that matter and strive to foster an inclusive, growth-driven work environment. Ready to bring your best? Overview of the role: The Data Engineer, Enterprise Analytics is responsible for designing, building, and supporting scalable, secure, and high performance analytics solutions on the Microsoft Fabric platform. This role combines strong technical depth with business acumen to translate evolving business needs into trusted data products. The individual will play a key role in shaping and executing Saputo's modern BI and analytics strategy, leveraging Microsoft Fabric capabilities. How you will make contributions that matter: 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 You are best suited for the role if you have the following qualifications: 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 Technical Requirements Strong hands-on experience as a Data Engineer on Microsoft Fabric and Azure platforms, including: Fabric Lakehouse/Warehouse/Event House/ Materialized Lake view Fabric Ingestion (Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, Copy Job, Noteboo