System and Data Engineer The University of Manitoba is a driving force of innovation, discovery and advancement. Our momentum is propelled by our campus community – UM faculty, staff and students whose determination and curiosity shape our world for the better. Our teaching, learning and work environment is uniquely strengthened and enriched by Indigenous perspectives. With two main campuses in Winnipeg, satellite campuses throughout Manitoba, and world-wide research, UM’s impact is global.

Discover outstanding employee benefits, experience world-class facilities and join a dynamic community that values reconciliation, sustainability, diversity, and inclusion. We are one of Manitoba’s Top Employers and one of Canada’s Best Diversity Employers. At the University of Manitoba, what inspires you can change everything.

The opportunity:

The system and data engineer plays a key role in advancing digital transformation initiatives across research, data access, data management, data analytics, and web teams at MCHP. The incumbent designs and delivers integrated digital solutions that improve operational efficiency, support data‑driven decision‑making, and enhance user experience.

The system and data engineer translates MCHP's operational improvement priorities into working software — developing full-stack web applications, automated business process workflows, and data integration solutions that reduce manual effort, improve data quality, and accelerate research delivery. The role sits at the intersection of software engineering and operational problem-solving, working closely with data governance staff, data managers, and the analyst community to understand current-state processes and design practical, scalable improvements. The role also involves building business intelligence and reporting solutions (e.g., Power BI dashboards and data models) and developing AI‑enabled capabilities to support operational and analytical needs.

Working within a hybrid technology environment, the developer leverages Microsoft 365 services, on‑premises infrastructure, open‑source tools, and approved cloud platforms. All solutions must align with institutional data governance, privacy, and security standards, particularly when working with sensitive research and administrative data. This position directly supports MCHP's strategic goals of reducing project timelines, improving research-data readiness, and building the organizational capacity to apply AI responsibly within a regulated health data environment.

The qualifications and experience we’re looking for:

- Bachelor’s degree in computer science, Information Technology, Data Science, Software Engineering, or a related discipline is required.
- 3 to 5+ years of experience in software development, digital solutions development, data engineering, and/or a related technical role is required.
- Experience developing full stack web applications, including front-end, back-end, and database components is required.
- Experience programming in Python, and other web development related languages/frameworks is required.




- Experience designing and implementing automation and workflows solutions to improve business processes, required.
- Experience working with relational databases (e.g., SQL Server or equivalent) is required.
- Experience working in environments that prefer Microsoft technologies (e.g., Microsoft 365, Power Platform, Power Automate), while also supporting solutions built using open-source tools, on-premises systems, and approved cloud platforms is an asset.
- Experience developing or contributing to data solutions or reporting (e.g., dashboards, datasets, queries) is an asset.
- Experience integrating systems using APIs, services, or data connections is an asset.
- Experience working in collaborative, multi-stakeholder environments, asset.
- Experience in a public sector, academic, healthcare, or research environment is an asset.
- UX or user-centered design experience is an asset.
- Microsoft Power BI & Data Engineering related certificate is an asset.
- Microsoft Power Platform related certifications are an asset.
- Certifications related to software development, data, AI, or cloud technologies are an asset.
- An acceptable equivalent combination of education and experience may be considered.

Full Stack Web Development:

- Solid foundation in web application development is required.
- Experience with front-end and back-end technologies (e.g., JavaScript/TypeScript, Python, R, REST APIs) is required.
- Ability to build secure, maintainable, and user-focused applications is required.
- Ability to troubleshoot, enhance, and support existing applications is required.

· Automation, Workflow & System Integration:

- Ability to analyze business processes and translate them into automated, integrated solutions is required.
- Experience with workflow automation tools (e.g., Power Automate or similar) is required.
- Experience in building automated workflows using tools, scripts, or low-code platforms is required.
- Strong problem-solving skills with a focus on efficiency and process improvement are required.

·

Technology Stack:

- Microsoft 365 (SharePoint, Teams, OneDrive, Copilot) is required.
- Power Platform (Power Automate, Power Apps, Power BI).
- SQL Server, relational database design and querying are required.
- Languages like Python, SQL, JavaScript/TypeScript, HTML/CSS are required.
- Web Frameworks like Django, FastAPI, or Flask are required.
- RESTful APIs and integration technologies are required.
- Data pipeline development and ETL/ELT processes are required.
- Data linkage and transformation tooling are required.

·

Professional Competencies:

- Strong analytical and problem-solving skills are required.
- Ability to translate business requirements into technical solutions is required.




- Effective communication skills with technical and non-technical stakeholders are required.
- Ability to manage multiple priorities with guidance and support is required.
- Attention to detail, especially when working with automation and data is required.
- Willingness to learn and grow across new tools and technologies is required.
- Commitment to responsible, secure, and privacy-conscious development is required.
- Commitment to continuous learning and professional development to keep technical knowledge and skills current, required.
- Willingness to learn new technologies, platforms, and methodologies relevant to web development, automation, data, and AI, required.
- Ability to work effectively in a dynamic, collaborative environment with evolving requirements, required.
- A satisfactory work record, including satisfactory attendance and punctuality, is required.
- Understanding system integration concepts, including data flows and dependencies, is an asset.
- Understanding reliability, error handling, and security in automated workflows is an asset.
- Exposure to AI-enabled tools or services (e.g., Copilot, AI APIs, or open-source models) is an asset.
- Experience developing or supporting BI reports or dashboards (e.g., Power BI or similar tools) is an asset.
- Experience of working on data linkage is an asset.

Why the University of Manitoba?

Along with being one of Manitoba’s top employees, we are proud to provide a collaborative and enriching work environment. In addition to a strong compensation package with a competitive salary, the University provides an exceptional workplace that includes:

- Comprehensive group advantages and pension plan.
- Competitive vacation time.
- Employee and Family Assistance Program.
- A full spectrum of professional development opportunities.

Apply today through the University of Manitoba’s recruitment site, UM Careers:

https://viprecprod.ad.umanitoba.ca/DEFAULT.ASPX?REQ_ID=48944

Applications will only be accepted if you apply on UM Careers.

The University of Manitoba is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring, promotion and tenure (where applicable) for systemically marginalized groups who have been excluded from full participation at the University and the larger community including Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2SLGBTQIA+ (Two Spirit, lesbian, gay, bisexual, trans, questioning, intersex, asexual and other diverse sexual identities).

If you require accommodation supports during the recruitment process, please contact [email protected] or (phone hidden). Please note this contact information is for accommodation reasons only.

Application materials, including letters of reference, will be handled in accordance with the protection of privacy provisions of The Freedom of Information and Protection of Privacy Act (Manitoba). Please note that curriculum vitae will be provided to participating members of the search process.

📌 System and Data Engineer (Winnipeg)
🏢 University of Manitoba
📍 Winnipeg