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, Notebooks, EventStream, Spark Job Definition, Spark structure streaming) Fabric Orchestration (Apache Airflow) Fabric Data Engineering Languages (Py-Spark/Spark SQL /KQL) Experience with Azure analytics services, including: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure Databricks (where applicable) Development using Python and Spark notebooks Understanding of data modeling skills, including dimensional modeling (Kimball / star schema) types such as import, direct lake Advanced SQL skills for analytical workloads Good understanding of Power BI Workspace, security, and capacity management Solid understanding of DevOps / GitHub for version control and CI/CD Practical understanding of Microsoft Fabric governance, security (One Lake Security, SQL security), and workload management

We support and take care of our employees and their families by offering

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

Salary: $102,075 to $133,975

Salary offers will vary commensurate with experience, education, skills, and training.

STATEMENT ON AI

All applications are carefully considered by our Talent Acquisition team.

Artificial Intelligence tools may be used in screening applications.

Artificial Intelligence is not used to assess or select applications.

In Canada, Saputo is a leading cheese manufacturer and fluid milk and cream processor, with a portfolio of well-loved brands such as Dairyland, Armstrong, Neilson, Alexis de Portneuf, and many more. Whether your expertise lies in manufacturing, operations, supply chain management, sales, quality assurance, or in any other function, your role is integral to our success. You will make contributions that matter, all while working alongside colleagues who genuinely care about your success and who will roll up their sleeves to help.

The material contained herein is provided for informational purposes only. All open jobs offered by Saputo Inc. and all companies, corporations, partnerships, limited partnerships and other entities controlled by Saputo Inc. (collectively, “Saputo”) on Saputo's web site are subject to specific job skill requirements. The job skill requirements, qualifications, and preferred experience are determined by a Saputo subsidiary, office or department, and all positions are subject to local prevailing employment laws and restrictions. This would include immigration laws pertaining to work authorization requirements and any other applicable government permissions or compliance. The materials on this site are provided without warranties of any kind, either expressed or implied, including but not limited to warranties regarding the accuracy or completeness of the information contained on this site or in any referenced links. While Saputo attempts to update this site on a timely basis, the information is effective only as of the time and date of posting. Strict confidentiality will be observed at all times. Saputo is an equal opportunity employer. The information on this site is for information purposes only and is not intended to be relied upon with legal consequence.

We support employment equity. Saputo strives to embed diversity and inclusion in its operations and invites candidates from all horizons to join its family. Saputo welcomes and encourages applications from people with disabilities. Accommodations up to the point of undue hardships, are available on request for candidates taking part in all aspects of the selection process.