Analytics Engineer

Groupe Compass Quebec ltée.; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading food service company is seeking an Analytics Engineer in Toronto, Ontario. You will develop and maintain data transformation pipelines, ensure data quality, and collaborate across teams to enhance data infrastructure. Ideal candidates hold a Bachelor's in Computer Science and have 3+ years of analytics engineering experience, strong SQL and Python skills, with dbt knowledge as a bonus. This role promotes diversity and encourages qualified candidates to apply.

Qualifications

• 3+ years of experience in analytics engineering.
• Experience with database design and data warehousing concepts.
• Strong attention to detail.

Responsibilities

• Develop and maintain data transformation pipelines using dbt.
• Ensure data accuracy and integrity through quality checks.
• Optimize data pipelines for performance and scalability.
• Collaborate to identify data-related problems.

Skills

SQL

Python

Data modeling

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

dbt

Job description

We are CDAI—the data and artificial intelligence engine of Compass Group North America. We design and deliver custom, in-house solutions tailored to the unique complexities of food service and hospitality. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. With deep integration into the business and a commitment to white-glove service, CDAI empowers associates, clients, and customers through innovative, future-forward technologies.

Job Summary

As an Analytics Engineer, you will be responsible for developing and maintaining our data transformation layer, ensuring data quality, and optimizing data pipelines for our analytics, reporting, and data science teams. You will work closely with our cross-functional teams to ensure that our data is accurate, reliable, and accessible. You will also be responsible for identifying opportunities to improve our data infrastructure and recommending new technologies and tools.

Now, If You Were To Come On Board As One Of Our Analytics Engineer, We’d Ask You To Do The Following For Us

• Develop and maintain data transformation pipelines using dbt to support our analytics, reporting and data science teams
• Ensure the accuracy, completeness, and consistency of our data by implementing data quality checks and processes
• Optimize data pipelines for performance and scalability, ensuring that our data is accessible and usable for our cross-functional teams
• Collaborate with cross-functional teams to identify and solve data-related problems and provide insights on data infrastructure improvements
• Monitor and troubleshoot data pipeline issues and work to resolve them in a timely manner
• Develop and maintain technical documentation for our data infrastructure, including data models, schema definitions, and transformation processes
  
  

Think you have what it takes to be our Analytics Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role.

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• 3+ years of experience in analytics engineering
• Strong programming skills in SQL and Python, experience with dbt is a bonus
• Experience with data modeling, database design, and data warehousing concepts
• Strong problem-solving and analytical skills with a keen attention to detail
• Strong communication and collaboration skills with the ability to work effectively in a team environment
  
  

Compass Group Canada is committed to nurturing a diverse workforce representative of the communities within which we operate. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.

For accommodation requests during the hiring process, please contact [e-mail] for further information.