Company Description

Catalogue Virtuel is dedicated to empowering professionals by providing them with the tools, frameworks, and connections needed to navigate and excel in their careers. We also help businesses connect with the right talent to achieve growth and success. Our mission is to drive innovation by bridging the gap between talent and opportunity, focusing on today’s dynamic and non-linear career paths. Join us to be part of a forward-thinking team shaping the future of work.

Location: Montreal, QC (Hybrid)

Duration: Permanent Full time

Key Responsibilities

Under the guidance of our Leadership Team and Project Managers, the Data Engineer will be responsible for the following tasks:

- Collaborate with stakeholders to design and implement scalable and efficient data architecture, including table structures, lineage, and data flow across layers.
- Conduct data audits on source systems to document and address potential quality issues.
- Build and maintain data ingestion and transformation pipelines to ensure reliable and timely data delivery.
- Develop and implement production-ready pipelines with a focus on DataOps best practices for monitoring, orchestration, and automation.
- Establish and implement data governance standards, ensuring data availability, usability, integrity, and security.




- Create and maintain comprehensive technical documentation for all completed work.
- Support AI and Machine Learning projects as well as other projects within the scope of the assigned mandate (e.g., dashboarding or automation).

Technical Capabilities:
- Programming Languages: Proficiency in SQL and Python is essential; experience with Scala, Spark, or other languages is a plus.
- Platforms: Knowledge of platforms suchs as Databricks, Snowflake, AWS, Azure, or Google Cloud.
- DataOps: Familiarity with CI/CD pipelines and tools such as GitHub for version control and deployment.
- Collaboration Tools: Experience with JIRA and Confluence is a plus.

Minimum Requirements:
- Education: Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.

Preferred Qualifications:
- Problem Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
- Organized and Rigorous Approach: Strong organizational skills and attention to detail, ensuring rigor in development and accuracy in outputs.
- Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

📌 Data Engineer (Montreal)
🏢 Catalogue Virtuel
📍 Montreal