Cloud Data Engineer | Azure, Python & ML Pipelines

Hunter Bond; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

Hunter Bond in Montreal, Canada seeks a Data Engineer / Database Developer to design, build, and optimize scalable cloud-based data systems in Azure. You will work across data engineering and ML workflows, developing Python-based data pipelines and supporting analytics initiatives.

The role emphasizes full data lifecycle ownership—from architecture and performance tuning to enabling advanced analytics and ML use cases in a fast-growing tech environment.

Qualifications

• 5 years of experience in data engineering or database development.
• Strong Python experience and SQL relational design know-how.
• Hands-on with Microsoft Azure data services (Azure SQL, Data Factory, Synapse).

Responsibilities

• Design and build SQL databases from scratch, ensuring scalability, reliability, and performance.
• Optimize and maintain existing database systems, improving query performance and efficiency.
• Architect, implement, and manage cloud-based databases and data solutions in Azure.
• Develop and maintain data pipelines to support analytics and ML workloads.
• Collaborate with data scientists to prepare and structure data for ML modelling.
• Contribute to Python-based machine learning models and data processing workflows.
• Ensure best practices in data governance, security, and integrity.
• Work with cross-functional teams to understand data requirements and deliver solutions.

Skills

SQL

Python

Azure Data Factory

Data modelling

ETL

Azure Synapse

Tools

Azure SQL

Azure Data Factory

Azure Synapse

Job description

Hunter Bond in Montreal, Canada seeks a Data Engineer / Database Developer to design, build, and optimize scalable cloud-based data systems in Azure. You will work across data engineering and ML workflows, developing Python-based data pipelines and supporting analytics initiatives.

The role emphasizes full data lifecycle ownership—from architecture and performance tuning to enabling advanced analytics and ML use cases in a fast-growing tech environment.