Data Engineer

Clutch Technologies Inc.; Toronto; On-site; CAD 60,000 - 95,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will play a crucial role in developing and maintaining data pipelines that support business analytics. This position offers the chance to work with cutting-edge technologies and collaborate with talented engineers to ensure data accuracy and integrity. You'll have the autonomy to create your own path, and enjoy competitive compensation and generous time off. This is a fantastic opportunity for those who are eager to learn and grow within a dynamic environment committed to inclusivity and success.

Benefits

Autonomy & ownership

Competitive compensation

Equity incentives

Generous time off program

Qualifications

• 1-3 years of experience in data engineering or analytics roles.
• Proficiency in SQL and familiarity with relational databases.

Responsibilities

• Develop and maintain data pipelines for business reporting.
• Monitor and troubleshoot data pipelines using monitoring tools.

Skills

SQL

Data Engineering

ETL/ELT Processes

Data Analysis

Data Quality

Data Security

Version Control (Git)

Cloud Platforms (AWS)

Education

Bachelor’s degree in Computer Science

Engineering

Information Systems

Tools

Datadog

PostgreSQL

MySQL

GitHub Actions

Airflow

dbt

Talend

Job description

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning.

Named one of Canada’s top growing Companies two years in a row and also awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.

Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca.

What You’ll Do

• Assist in developing and maintaining data pipelines to support business reporting and analytics needs.
• Work with ETL/ELT processes to clean, transform, and move data between systems reliably and efficiently.
• Collaborate with senior engineers to ensure data accuracy and integrity across various sources.
• Help monitor and troubleshoot data pipelines using tools like Datadog or other monitoring solutions.
• Support data quality efforts by identifying anomalies and contributing to regular data audits.
• Contribute to the implementation and support of modern data architectures, including data lakes and cloud data warehouses.
• Write clear documentation for data processes, pipeline logic, and data definitions.
• Learn and apply best practices in data security, scalability, and performance.
• Use version control and CI/CD tools (e.g., Git, GitHub Actions) to support data pipeline development and deployments.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent work experience).
• 1–3 years of experience in a data engineering, analytics, or related role.
• Proficiency in SQL and experience writing queries for reporting or data analysis.
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) and basic understanding of data warehousing concepts.
• Exposure to cloud platforms (preferably AWS) and interest in learning cloud-based data services like S3, Redshift, or Glue.
• Interest or basic experience with ETL/ELT tools (e.g., Airflow, dbt, Talend).
• Understanding of version control systems (e.g., Git) and eagerness to learn DevOps practices.

Why you’ll love it at Clutch:

• Autonomy & ownership -- create your own path, and own your work.
• Competitive compensation and equity incentives!
• Generous time off program.

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email [e-mail].