At a Glance
- Tasks: Optimize data pipelines and collaborate on machine learning projects using Python.
- Company: FED IT, a recruitment agency specializing in IT roles.
- Benefits: Competitive salary, performance bonuses, hybrid work, and comprehensive insurance.
- Other info: Great opportunity for growth in a supportive environment.
- Why this job: Join a dynamic team and make an impact in the e-commerce sector.
- Qualifications: Degree in Computer Science or related field; expertise in Python and SQL.
The predicted salary is between 75600 - 92400 $ per year.
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.
Your Profile
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.
Data Engineer in Montréal employer: Fed IT
Join a well-established organization in the insurance and financial services industry that values innovation and operational excellence. As a Director in Platform Engineering, Cloud Infrastructure & IT Operations, you will thrive in a collaborative work culture that prioritizes employee growth and development, offering opportunities to lead transformative technology initiatives. Located in a dynamic environment, this role provides unique advantages such as access to cutting-edge technologies and a commitment to fostering a diverse and inclusive workplace.
