Qualifications

• 5+ years in a similar role, ideally in a consulting environment.
• Proficient in Python and SQL.
• Familiarity with Spark and modern analytical architectures (ELT, medallion, star schema).
• Experience with Microsoft Azure tools (Functions, Storage, Fabric, Synapse, Data Factory).
• Bilingual communication skills in French and English.
• Attention to detail with a strong quality assurance mindset.
• Results-oriented with developed client service skills.
• Experience with platforms like Snowflake, BigQuery, or dbt is a plus.
• Microsoft certifications (Azure, Fabric, Power BI) are advantageous.

Responsibilities

• Design, develop, and maintain robust data pipelines within the Microsoft ecosystem.
• Collaborate directly with clients to understand their needs and provide tailored technical solutions.
• Document technical and functional architectures, transformations, and processes clearly and reusefully.
• Participate in establishing engineering standards for code quality, data integrity, and CI/CD.
• Work closely with other engineers to deliver stable and scalable solutions.
• Mentor colleagues and share best practices in data engineering and architecture.
• Implement data extraction processes by interacting with various APIs for external integration.
• Oversee deployments, operational costs, and solution performance in cloud environments.
• Design and implement data governance and quality strategies, including metadata management and security.
• Stay updated on cloud platform technologies and trends in data governance.

Benefits

• Competitive salary with retirement savings contribution.
• Flexible schedule and autonomy in work approach.
• Ability to work remotely for up to 8 weeks per year.
• Paid sabbatical leave.
• Well-being and productivity expense account.
• Parental leave program.
• Engaging activities for team building and morale.
• Training and development opportunities.