Senior Data Engineer - Krembil Centre for Neuroinformatics

The Krembil Centre for Neuroinformatics (KCNI) is CAMH’s research centre for computational neuroscience, data science and AI in mental health. KCNI operates CAMH’s research computing environment, including on-premises GPU infrastructure and the platforms supporting the BrainHealth Databank and multi-institutional research partnerships, and leads AI model development for the hospital. CAMH’s operational AI capability runs as a federated model: an applied AI team develops and supports operational models for clinical and corporate use, KCNI leads AI research and development, and machine learning operations sits between the two. The Krembl team is looking for a full-time, contract (1 year) Senior Data Engineer to join our team. Reporting to the Operations Director, you will play a crucial role in managing the entire data lifecycle within the project for challenge organization. This includes data ingestion and deposition into a data platform, data preparation, documentation and dissemination to challenge users, while ensuring data integrity and alignment with Canadian privacy laws and healthcare data sharing practices. The Data Engineer will collaborate with various challenge teams to support the organization of diverse data types by constructing and maintaining data systems and databases. Through its core values of Courage, Respect and Excellence, CAMH is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education and drive social change. CAMH is more than a hospital, it is a cause. CAMH is on a mission to change the way society thinks about and responds to mental illness. They aim to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system – a world where Mental Health is Health. To learn more about CAMH, please visit their website at: www.camh.ca. To view our Land Acknowledgment, please click here.

The Senior Data Engineer will manage the entire data lifecycle, including ingestion, preparation, and dissemination for research challenge projects. They will collaborate with teams to construct and maintain robust data systems while ensuring compliance with privacy laws and healthcare data standards.

Candidates must hold a Master's degree or PhD in a relevant technical field and possess at least 5 years of experience in data engineering or machine learning roles. Proficiency in Python, SQL, and experience with production-grade data pipelines and MLOps technologies are essential.

• Defined benefit pension plan • Flexible work arrangements • Professional development support

• KubernetesSouhaitée
• SQLSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• LinuxSouhaitée
• GitSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Data engineering
• Machine learning engineering
• MLOps
• Scientific computing
• Data pipelines
• Model deployment
• Docker
• Kubernetes
• CI/CD
• Linux
• Git
• Cloud computing
• Data modeling
• ETL/ELT
• Courage
• AI Research
• Data Preprocessing
• Data Types
• Research
• Artificial Intelligence
• Mental Health
• Strategic Planning
• Certified Associate In Materials Handling
• Computational Neuroscience
• Data Engineering
• Data Integrity
• Data Sharing
• Legal Depositions
• Dissemination
• Innovation
• Institutional Research
• Machine Learning
• Mental Diseases
• Operations
• Social Change
• Data Science
• Data Ingestion

• Data & Analytics
• Technology
• Science & Research
• Healthcare
• Software
• Data Engineer
• Software Developers
• Database Administrators

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Postuler avant le

17 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine