Senior Data Engineer

Montreal, QC (Hybrid – 6 onsite days per month)

Duration: 5-month contract with strong extension potential

About the Role

We're looking for an experienced Data Engineer to join a high-performing analytics team responsible for designing and maintaining contemporary data pipelines that power enterprise reporting and business intelligence solutions. You'll work closely with cross-functional teams to build scalable data solutions, optimize processing workflows, and ensure high-quality data delivery.

What You'll Do
Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Develop data transformation and ingestion solutions from multiple enterprise data sources.
Ensure data quality, integrity, and reliability through validation and automation.
Collaborate with QA and development teams to troubleshoot issues, perform testing, and deploy enhancements.
Participate in code reviews and contribute to best development practices.
Support production environments by maintaining existing solutions and resolving technical issues.




Work within Agile teams to deliver high-quality data solutions.

What We're Looking For
6+ years of experience as a Data Engineer or in a similar role.
Robust experience with Python and PySpark/Spark .
Experience designing and supporting data pipelines and data transformation processes.
Solid understanding of Star Schema , Slowly Changing Dimensions (SCD) , and dimensional modelling.
Experience with Git , Docker , and cloud platforms such as Azure or Google Cloud Platform (GCP) .
Knowledge of CI/CD practices, unit testing, and peer code reviews.
Experience working in Agile or Protected environments.
Familiarity with Power BI from a data engineering perspective.

Nice to Have
Big Data experience.
Knowledge of enterprise data architecture and solution documentation.
Experience with GitHub or GitHub Copilot.
Exposure to JavaScript, TypeScript, HTML, or CSS.

📌 Data Engineer Montreal (Canada)
🏢 TEEMA
📍 Canada