IT Specialist, Enterprise Applications - Data Engineering Professional – Analytics

Saputo Inc.•Georgetown, ON

5d•CA$102,075 - CA$133,975•Hybrid

About The Position

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.

Requirements

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.
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
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
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

Nice To Haves

Microsoft Azure / Fabric certifications
Bilingual English/French
Understanding of advanced AI technologies like ML, Agentic AI

Responsibilities

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

Benefits

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