This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
WHAT'S IN IT FOR YOU Benefits: Compensation: $88,000 - $121,000 Annual Performance-Based Incentive Bonus 5% RRSP match Stock purchase plan Starting 3 weeks of vacation Benefits package (health and dental) + $600 health spending account Half-Day Fridays Continuous learning and career growth with global mobility opportunities. A chance to contribute to something bigger - advancing the future of healthcare through automation.
Requirements
A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)
A Master’s degree is considered beneficial
Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration
Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks
Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms
Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP
Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives
Proficiency in programming languages like Python, R, or Java
Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with databases (SQL, Influx)
Knowledge of data warehousing and ETL processes
Familiarity with tools like Hadoop, Spark, or Kafka
Experience with cloud services such as AWS, Google Cloud, or Azure
Understanding of software engineering principles and best practices
Experience with version control systems (e.g., Git)
Ability to design and implement efficient algorithms and solutions
Demonstrated experience in deploying machine learning models to production
Experience with data visualization tools and techniques
Strong analytical and communication skills
Ability to work collaboratively in a team environment
Ability to communicate effectively, both orally and in writing
A self-starter with the ability to work as part of a team in a fast paced environment with minimal supervision
All employees have the responsibility to work in a safe manner and report any health, safety or environmental concern to their manager or supervisor in a timely manner
Work in compliance with divisional health, safety and environmental procedures
Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods
Report any unsafe conditions or unsafe acts
Report defect in any equipment or protective device
Ensure that the required protective equipment is used for the assigned tasks
Attend all required health, safety and environmental training
Report any accidents/incidents to supervisor
Assist in investigating accidents/incidents
Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct
Nice to have
Experience with Agile development practices
Understanding of automation mechanical, electrical and control systems
Understanding of machine operation, maintenance, service and troubleshooting
Understanding of Machine Vision systems and solutions
Understanding of PLCs and PLC communication
Exposure and understanding of business intelligence
What we offer
Compensation: $88,000 - $121,000
Annual Performance-Based Incentive Bonus
5% RRSP match
Stock purchase plan
Starting 3 weeks of vacation
Benefits package (health and dental) + $600 health spending account
Half-Day Fridays
Continuous learning and career growth with global mobility opportunities
A chance to contribute to something bigger - advancing the future of healthcare through automation