Senior Data Engineer: ETL Pipelines & AI Readiness

CoFoMo Inc.; Montreal (administrative region); On-site; CAD 90,000 - 140,000; Full time

Job summary

CoFoMo Inc. is seeking an experienced data engineer to design, develop, and optimize ETL/ELT pipelines for structured and unstructured data across cloud platforms. You will integrate sources, build data models, and ensure scalable data flows for analytics and AI initiatives.

You will collaborate with data scientists and business teams, implement quality controls, and document best practices. Proficiency with Python, Docker, Terraform, and CI/CD is valued, along with a strong foundation in data

Qualifications

• Bachelor's degree in software engineering or computer science required.
• Minimum six years of experience in data engineering, MLOps, software development, or ML.
• Strong Python proficiency and containerization experience (Docker).
• Experience with AWS or Azure; GCP is a plus.
• Knowledge of ML concepts and mathematical foundations is useful.
• Solid Linux and CI/CD experience; Terraform/Ansible is a plus.
• Experience with data pipelines, ETL/ELT, and model management tools is an asset.

Responsibilities

• Design, develop, and optimize ETL and ELT data pipelines for structured and unstructured data.
• Integrate data from multiple sources into centralized platforms, including data lakes and data warehouses.
• Develop and maintain data models for analytics, AI, and reporting needs.

Skills

Python

ETL/ELT

Data pipelines

AWS

Azure

GCP

Linux

Docker

Terraform

Ansible

CI/CD

MLOps

Data modeling

Data security

Education

Bachelor's degree in software engineering

Master's degree in computer science

Tools

Docker

Terraform

Ansible

CI/CD tooling

MLflow / DVC (asset)

Cloud platforms (AWS/Azure/GCP)

Job description

CoFoMo Inc. is seeking an experienced data engineer to design, develop, and optimize ETL/ELT pipelines for structured and unstructured data across cloud platforms. You will integrate sources, build data models, and ensure scalable data flows for analytics and AI initiatives.

You will collaborate with data scientists and business teams, implement quality controls, and document best practices. Proficiency with Python, Docker, Terraform, and CI/CD is valued, along with a strong foundation in data