Regina
DATA ENGINEER
We’re currently seeking an experienced DATA ENGINEER to support our client, a major Crown corporation in Saskatchewan’s natural gas sector. This is a full-time, onsite contract position based in Regina, Saskatchewan, playing a pivotal role in designing, building, and maintaining robust data pipelines and architectures for enterprise analytics initiatives.
The ideal candidate brings deep expertise in SQL Server, SSIS, Python, and Spark/PySpark, along with extensive experience working in modern cloud and lakehouse environments such as Azure Data Factory and Databricks. Strong familiarity with data modeling, ETL best practices, and regulatory compliance is essential.
Location & Work Hours
Location: Onsite – Regina, Saskatchewan
Start Date: As soon as possible
Duration: Through March 31, 2027, with up to four optional one-year renewals
Work Hours: Monday to Friday, 8:00 AM – 5:00 PM CST
Functional Area
Digital, Technology & Security Division – Enterprise Analytics Team
Requirements
Mandatory Requirements
• Minimum five (5) years of recent (within the last 7 years) experience in modern data management practices (ETL, architecture, modeling, analytics)
• Bachelor’s degree or diploma in Computer Science, Engineering, Data Science, or a related discipline
• Must be able to work full-time onsite in Regina, SK
Desired Technical Experience
• SQL Server & SSIS: Expertise with stored procedures, package-level deployment
• ETL Pipelines: Designing and maintaining scalable data workflows
• Python: Advanced scripting for ETL with best practices (testing, code review)
• Spark / PySpark: Large-scale data processing
• Azure & Databricks: Data Factory, Lake, Delta Lake, DABs
• APIs: Microsoft Graph & third-party integration
• CI/CD & Git: Version control and deployment
• Data Governance: Understanding of DAMA/DMBoK, PIPEDA compliance
• Communication: Able to clearly articulate technical information and collaborate across teams
Deliverables
• Develop and maintain scalable data pipelines and ELT/ETL processes
• Build infrastructure to support reporting, dashboards, and analytics
• Oversee data ingestion from legacy and cloud sources
• Implement and manage lakehouse solutions in Delta format
• Collaborate with stakeholders to support technical and business needs
• Guide data modeling and governance practices across projects
• Troubleshoot data and integration issues
• Mentor analytics staff on best practices and tooling
About the Role
This position reports to SaskEnergy’s Enterprise Analytics team within the Digital, Technology & Security Division. The initial contract runs through March 31, 2027, with potential extensions for up to four additional one-year terms. This is a full-time onsite role in Regina, and candidates must be prepared for occasional travel and overtime. A current Criminal Reference Check and in-person interview are mandatory for shortlisted candidates.
Apply Now
If you’re interested in this opportunity, please reach out or submit your resume for consideration. Know someone perfect for this role? Feel free to share this posting!
About Systematix
Systematix is one of Canada’s largest privately owned National Consulting and Resourcing firms. With offices across the country, we provide high-impact consulting services to both public and private sector clients. We are committed to building a diverse and inclusive workplace and strongly encourage applications from equity-deserving communities.
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