Summary: Location: Montreal (Day onboarding onsite / in office presence x week) Experience Level: Level (advanced): - years Responsibilities: Hands-on development and data pipeline creation.

Collaborate with stakeholders across the organization.

Contribute to the evolution of the current strategy.

Provide specialist data analysis and expertise for decision-making and business insights.

Craft data pipelines and implement data models.

Optimize data processes for improved accuracy and accessibility.

Apply machine learning and AI-based techniques.

Requirements: Experience in data engineering or a related field.

Design and implement data pipelines and workflows.

Develop dashboards and reports using Power BI and Tableau.

Collaborate with stakeholders to translate requirements into data models and visualizations.

Utilize Dataiku and other analytics platforms for data preparation and advanced analytics.

Ensure data quality, integrity, and security.

Optimize performance of dashboards and queries for large datasets.

Stay updated on emerging trends in data analytics and visualization technologies.

Experience with Snowflake and Databricks (at least one).

Knowledge of database systems (SQL and NoSQL).





Experience with Snowflake Cortex is appreciated.

Familiarity with cloud platforms (AWS, Azure) and their data services.

Experience using Jupyter notebooks for data exploration, analysis, and visualization.

Excellent communication and collaboration skills.

Ability to work independently and as part of a geographically distributed team.

Required Skills: Integrity and ownership, good team player.

Ability to work under time and resource dependencies and constraints.

Ability to find simple and effective solutions.

High degree of motivation to expand technical and business knowledge.

Preferred Skills: Familiarity with programming skills in Python.

Experience with data warehousing concepts and technologies.

Familiarity with data governance and security best practices.

Experience with Agile methodologies.

Familiarity with data catalog and metadata management tools.

Familiarity with CI/CD pipelines and Dev

Ops practices.

Benefits: Prospect to work in a diverse and innovative workplace.

Engagement with cutting-edge data and analytics technologies.

Cooperative and supportive team culture.

📌 Data And Analytics Engineer Montreal
🏢 Axelon Services
📍 Montreal