Build privacy automation with Python, SQL, and APIs as a Privacy Operations Engineer in Toronto, using a hybrid work model. Connect compliance workflows with global data infrastructure across regions. This hands-on engineering role requires 5-7+ years in data engineering, software engineering, or technical privacy engineering. You will support OneTrust integrations, Power Automate workflows, data mapping, and privacy assessments. The work spans UK/EU, US, APAC, and other regions, connecting engineering, product, legal, and privacy teams. Key Responsibilities:
Build automation for data subject rights and privacy assessments Integrate OneTrust with Azure DevOps, Jira, and data stores Maintain event-driven data mapping and ROPA pipelines Implement redaction pipelines with human-review checkpoints Monitor tooling health and troubleshoot integration issues Requirements:
5-7+ years in engineering or technical privacy roles Proficiency in Python, SQL, or another programming language Experience building APIs and automated workflows Understanding of global privacy concepts and regulations Experience across structured and unstructured data systems Apply privacy engineering, API integration, and automation expertise to strengthen Thomson Reuters’ global privacy operations in Toronto.
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Privacy Automation Engineer Toronto employer: Reuters
Thomson Reuters is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its teams. Located in Canada, employees benefit from a supportive environment that prioritizes professional growth through continuous learning opportunities and hands-on experience with cutting-edge technologies like Azure and Kubernetes. With a commitment to compliance and security, team members play a crucial role in shaping the future of cloud solutions while enjoying a balanced work-life integration.
