Data
Engineer – AI-Enabled Development,  Snowflake, Python, SQL 

Location: Montreal: 3 days a week on-site

Data & AI Engineer / Developer

We are seeking a highly skilled Data & AI Engineer with
expertise in Snowflake, SQL, Python, Cloud Technologies, and AI-powered
development tools. The ideal candidate will have hands-on experience designing
and implementing scalable data solutions, developing data pipelines, and
leveraging modern AI platforms such as Claude and Microsoft Copilot to enhance
productivity, automation, and business outcomes.

Role Summary:

•                 The position requires a technology
professional who can combine strong data engineering expertise with modern
AI-enabled development practices to deliver scalable, secure, and innovative
data solutions that drive business value.

Key Responsibilities

•                 Design, develop, and optimize data solutions
using Snowflake as the primary cloud data platform.

•                 Create and maintain complex SQL queries, stored
procedures, views, and data models to support reporting and analytics needs.

•                 Develop scalable data processing, automation,
and integration solutions using Python.

•                 Build and manage cloud-based data architectures,
ensuring reliability, security, and performance.

•                 Collaborate with business and technology teams
to gather requirements and deliver data-driven solutions.

•                 Utilize AI technologies, including Claude and
Microsoft Copilot, to accelerate development, automate workflows, improve code
quality, and enhance knowledge management.

•                 Implement best practices for data governance,
data quality, security, and performance optimization.

•                 Troubleshoot and resolve data-related issues
while continuously improving existing processes and solutions.

•                 Stay current with emerging cloud, data
engineering, and AI technologies to drive innovation and operational
efficiency.

Required Skills & Experience

•                 Strong experience with Snowflake Data Warehouse
and related data engineering concepts.

•                 Advanced proficiency in SQL for data extraction,
transformation, optimization, and analysis.

•                 Strong programming skills in Python for data
processing, automation, scripting, and API integrations.

•                 Experience working with Cloud Platforms such as
AWS, Azure, or Google Cloud.

•                 Knowledge of AI/Generative AI technologies and
practical experience using tools such as Claude and Microsoft Copilot.

•                 Understanding of data warehousing, ETL/ELT
processes, data modeling, and analytics solutions.

•                 Strong analytical, problem-solving, and
communication skills.

•                 Experience working in Agile development
environments is preferred.

Preferred Qualifications

•                 Experience integrating AI capabilities into
business or data engineering workflows.

•                 Familiarity with machine learning, LLMs, prompt
engineering, or AI-assisted software development.

•                 Relevant certifications in Snowflake, Cloud
Platforms, or AI technologies are a plus.