Data Engineer

Canus Tech; Kitchener; On-site; CAD 70,000 - 90,000; Full time

Job summary

A technology company in Kitchener, Canada is seeking a motivated Data Engineer to design, build, and maintain data pipelines supporting analytics initiatives. The role involves integrating data from various sources and optimizing workflows for accuracy. A Bachelor's degree and proficiency in SQL are required, along with familiarity with cloud platforms. This position offers competitive compensation, hands-on experience with modern data infrastructure, and opportunities for mentorship and professional development.

Benefits

Competitive compensation and benefits package

Hands-on experience with modern cloud data infrastructure

Mentorship and professional development opportunities

Qualifications

• Bachelor’s degree in a related field is required.
• Proficiency in SQL is mandatory.
• Knowledge of ETL processes is preferred.

Responsibilities

• Build and maintain scalable data pipelines.
• Integrate data from various sources including APIs.
• Optimize queries and workflows for accuracy.

Skills

SQL

Python

Data analysis

Education

Bachelor’s degree in Computer Science, Information Systems, or a related field

Tools

AWS

Azure

GCP

Job description

We’re looking for a motivated Data Engineer to join our growing technology team. In this role, you’ll help design, build, and maintain data pipelines and infrastructure supporting analytics and reporting initiatives. You’ll collaborate closely with cross-functional teams to ensure data quality, reliability, and accessibility across the business.

Responsibilities

• Build and maintain scalable data pipelines and database solutions.
• Integrate data from a variety of sources, including APIs and cloud platforms.
• Optimize queries and workflows for efficiency and accuracy.
• Collaborate with analysts, developers, and business teams to deliver data-driven insights.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Proficiency in SQL and familiarity with Python or similar programming languages.
• Understanding of data warehousing, ETL processes, and cloud platforms (AWS, Azure, or GCP).
• Strong analytical mindset with attention to detail and willingness to learn new tools.

What We Offer

• Competitive compensation and benefits package.
• Hands‑on experience with modern cloud data infrastructure.
• Mentorship and professional development opportunities.