Data Engineer
Fed IT · Longueuil, Canada ·
- Work mode
- Hybrid
- Employment
- Contract
- Category
- Data engineering
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Recruited through FED IT for a client described as a growing e-commerce leader, this Data Engineer standardizes and optimizes Python data pipelines built for data science and ML projects, enforces data quality, and deploys models to production using MLOps practices. Core stack: Python, SQL, cloud platforms, Git, and MLOps automation.
Hello,
I'm Robin, recruitment and business development consultant at FED IT, a recruitment agency specializing in IT professions.
I work on two types of recruitment: temporary and permanent.
All our consultants are IT experts who speak your language and work in your environment. We cover the IT, development, business intelligence and infrastructure professions.
We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks and MLOps practices to ensure our models are robust, scalable, and efficiently deployed into production environments.
Key Responsibilities
Work on the company's data pipeline, contributing heavily to its standardization, development, and optimization.
Build clean Python abstractions and automated pipelines to optimize data ingestion and preprocessing for analytics and machine learning.
Enforce rigorous data quality initiatives, testing, and validations to ensure data integrity across upstream and downstream systems.
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks.
Evaluate and integrate new technologies to leverage and scale our current data science engineering stack.
Generate actionable insights for business and infrastructure improvements.
Education
Degree required in Computer Science, Software Engineering, or a related quantitative discipline.
Technical Skills
Expertise in Python development and comprehensive experience with data-handling packages (e.g., Pandas/Polars, NumPy).
Fluency in advanced SQL for complex data query logic.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks.
Robust familiarity with MLOps workflows and automation.
Proficiency with Git version control and the Atlassian suite (Jira, Confluence).
Soft Skills
Curiosity and a strong desire to learn and grow.
Ability to take initiative, work independently, and collaborate effectively within a cross-functional squad.
Excellent multitasking capabilities.
Work Authorization
Must be eligible to work in Canada.
Language Requirements
Proficiency in English (spoken and written) is required, as English is the primary working language across teams in Ontario and Quebec. French is considered an asset.
Benefits
Competitive salary.
Performance bonus.
Comprehensive insurance plan.
Hybrid work schedule (3 days in office, 2 days work from home).
Opportunity to work with a dynamic and growing e-commerce leader.
Collaborative and supportive team environment.
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