Data Science & ML Engineer - Azure, ETL & Optimization

GoMaterials; Canada; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading materials marketplace located in Canada is seeking a Data Engineer to work on advanced Machine Learning and Operations Research models. This role involves building scalable data pipelines and optimizing infrastructure in Azure. Ideal candidates will have strong programming skills in Python and knowledge of Azure services. The company offers a collaborative work environment with opportunities for growth, health benefits, and equity after the first year.

Benefits

Health benefits

Time off (3 weeks + 1 week during holidays)

Equity after first year

Learning & promotion opportunities

Qualifications

• Experience programming in Python and additional languages.
• Understanding of data pipelines and distributed systems.
• Hands-on with SQL/NoSQL databases.

Responsibilities

• Design and maintain ETL/ELT pipelines for large datasets.
• Deploy ML models using Azure ML Studio and DevOps.
• Collaborate with teams to integrate AI solutions.

Skills

Python

Java

C++

SQL

NoSQL

Airflow

Git

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Azure ML Studio

Azure Data Factory

Azure DevOps

Kubernetes

Job description

A leading materials marketplace located in Canada is seeking a Data Engineer to work on advanced Machine Learning and Operations Research models. This role involves building scalable data pipelines and optimizing infrastructure in Azure. Ideal candidates will have strong programming skills in Python and knowledge of Azure services. The company offers a collaborative work environment with opportunities for growth, health benefits, and equity after the first year.