At Saputo, we bring positive 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.

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.

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 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





Robust written and verbal communication skills, especially for technical design documentation

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 Data Engineering Languages (Py-Spark/Spark SQL /KQL)

Azure Data Factory

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

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 :

Group retirement plan with employer contribution

Paid Parental Leave program

Training and development programs

Saputo Flex Program, flexible work environment (schedule/location/time off) according to department needs

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





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Artificial Intelligence tools may be used in screening applications.

Artificial Intelligence is not used to assess or select applications.

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. 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.

📌 IT Specialist, Data Engineering - Enterprise Analytics (Campbellville)
🏢 Socket.dev
📍 Campbellville