LP
Senior Data Engineer
LinkedIn Recruiter Post
Senior Data Engineer contract role: design/build ETL/ELT pipelines using Azure stack, primarily remote in Canada, occasional onsite in Edmonton.
SI
IT Specialist, Enterprise Applications – Data Engineering Professional, Analytics
Posted 2 months ago
About the role
- 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.
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
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.
- 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
- 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
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