Senior Data Integration Specialist

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. www.uhn.ca Union: Non-Union New or Replacement Position: Number of vacancies: 1 Site: Ontario Power Generation (4th Floor) Department: Business Intelligence & Innovation Reports to: Product Manager Salary Range: $81,549 – $122,342 per annum Hours: 37.5 hours per week Status: Permanent Full-Time Closing Date: August 20, 2026 Position Summary UHN is seeking a Senior Data Integration Specialist to join a cross-functional product squad within the Data Products & Business Applications team. This role will design, build, operate and continuously improve the data pipelines, lakehouse assets, cloud infrastructure and engineering workflows that enable trusted data products and business applications for research administration and research operations. Working closely with product managers, business analysts, Salesforce administrators and developers, BI developers, data stakeholders and research operations teams, the successful candidate will help deliver scalable data pipelines and products using Microsoft Azure, Microsoft Fabric, and open source software e.g. Apache Hop. The role will support ingestion, transformation, validation and delivery of data from enterprise systems, business applications and operational workflows, with a focus on reliability, maintainability, security and practical business value. Duties Design, build and maintain data pipelines, lakehouse assets and curated data products in Microsoft Fabric. Develop reliable ingestion and transformation patterns for structured data from enterprise systems, business applications and operational data sources. Use Microsoft Azure services to support secure, scalable and maintainable data engineering solutions. Configure, manage and support virtual machines required for development, integration, automation or supporting tooling. Build, run and maintain Docker containers for repeatable development, testing, deployment or integration workflows. Use source control tools such as GitHub or Bitbucket to manage data engineering code, configuration and documentation. Troubleshoot data pipeline, integration, environment and performance issues, while supporting data quality, observability and documentation. Work as part of a cross-functional product squad with product managers, business analysts, Salesforce, Power BI and application stakeholders to deliver integrated application and analytics use cases. Required Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Health Informatics or equivalent practical experience. 3+ years of experience in data engineering, cloud engineering, analytics engineering, platform engineering or a related technical role. Hands-on experience with Microsoft Azure in a data engineering, infrastructure, integration or application delivery context. Hands-on experience with Microsoft Fabric or Databricks, including lakehouse-oriented data engineering, pipelines, notebooks, dataflows, warehouses or related capabilities. Experience working with virtual machines for development, automation, integration, deployment or operational support activities. Experience using source control tools such as GitHub or Bitbucket, including branching, pull requests, code review and collaborative development workflows. Strong understanding of data pipeline concepts, data quality, troubleshooting, environment management and operational support. Ability to work effectively in a cross-functional product team and document technical work clearly for technical and non-technical audiences. Preferred Experience building, running or supporting Docker containers for development, testing, deployment or integration workflows. Experience with Python and/or PySpark for data transformation, automation, testing or analytics engineering. Experience with SQL, Spark SQL, Delta Lake, medallion architecture patterns or lakehouse-based data modelling. Experience supporting Power BI reports, semantic models, or analytics products used by business teams. Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. Competitive offer packages Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/ ) Close access to Transit and UHN shuttle service A flexible work environment Opportunities for development and promotions within a large organization Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.