Date Posted: 09/26/2025
Req ID: 45308
Faculty/Division: VP - Research
Department: Ofc of Vice Pres, Research & Innovation
Campus: St. George (Downtown Toronto)
Position Number: #
Description:
About us:
The Vice-President, Research & Innovation (VPRI) portfolio supports the University of Toronto as a top public research university in the world. Our mission is to create the most supportive environment possibleso that our researchers, innovators and learners can do what they do best — advance understanding and apply new knowledge. Our work supports, fosters and promotes the research and innovation culture and activities of our faculty, staff and students, along with our partner hospitals, funding sponsors, and partners in the public and private sector.
VPRI provides a full range of services including guidance to faculty, staff and students on funding opportunities, research agreement negotiation, oversight and accountability services including research accounting, environmental health and safety, innovation and entrepreneurship, partnerships, policies and procedures, and institutional awards and honours.
Your opportunity:
As a Data Engineer within the Research Analytics team of the Office of the Vice President, Research & Innovation, you will play a crucial role in advancing the university's data strategy. Reporting to the Manager, Research Analytics, you will design and develop robust data pipelines, data marts, and reporting solutions. Your work will ensure efficient data integration and enhance the university’s ability to leverage data-driven insights, directly contributing to the success of research and innovation initiatives across the institution.
Your responsibilities will include:
-Reconciling business requirements with information architecture needs for highly complex system integration.
-Analyzing and optimizing database software.
-Designing, testing, and modifying programming code.
-Developing and maintaining quality control procedures.
-Analyzing, recommending, and designing highly complex software architectures.
-Leading and planning IT projects, including scheduling, milestones, and deliverables.
-Analyzing, recommending, and designing technical solutions for highly complex IT problems.
-Serving as a technical resource and providing job-related guidance to colleagues and end-users.
-Documenting business requirements, technical solutions, and system specifications.
-Advising on feasibility, cost, and implementation strategies for IT solutions.
Essential Qualifications:
-Bachelor's Degree in Computer Science, Applied Mathematics, Engineering, or an acceptable combination of equivalent experience.
-Minimum five (5) years recent and relevant Data Engineering experience with a strong background in ETL/ELT processes.
-Experience with data pipeline tools and platforms (e.g., Informatica, MS Azure Data Factory, etc.).
-Proven experience with data warehouse projects and handling large, complex data sets.
-Proficiency in SQL, Python, and/or other programming languages commonly used in data engineering.
-Solid understanding of database management systems (RDBMS, NoSQL) and data warehousing solutions (e.g., MS Azure SQL, Databricks, PostgreSQL, IBM DB2).
-Familiarity with cloud computing platforms (e.g., Azure, AWS, GCP).
-Strong problem-solving skills and the ability to work as part of a fast-paced, cross-functional teams.
-Excellent communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences.
Assets (Nonessential):
-Knowledge of data modeling, schema design, and data architecture best practices.
-Understanding of machine learning capabilities.
-Familiarity with data visualization tools (e.g., Tableau, PowerBI).
To be successful in this role you will be:
-Adaptable
-Communicator
-Meticulous
-Problem solver
-Team player
Closing Date: 10/09/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 -- $103,367. with an annual step progression to a maximum of $132,188. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Administrative / Managerial
Recruiter: Anita Chooraman
Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged , and their lived experience shall be taken into consideration as applicable to the posted position.
