Data Engineer

Compass Group Canada; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading food service company in Toronto is looking for a Data Engineer to design and maintain ETL pipelines using SQL and AWS technologies. You'll work closely with senior developers and collaborate with various stakeholders to enhance data processing. Candidates should have 2-3 years of experience and a degree in Computer Science or a related field. Proficiency in Python, Spark, and knowledge of SQL are essential. This position promotes a diverse workforce and encourages all qualified applicants to apply.

Qualifications

• At least 2-3 years of relevant experience in a similar role or function.
• Programming skills in Python and Spark.
• Exposure to AWS and knowledge of SQL.

Responsibilities

• Design and maintain ETL pipelines for data extraction, transformation, and loading.
• Build and maintain Airflow DAGs.
• Provide support for data-related technical issues.

Skills

SQL

Python

Airflow

AWS

Spark

Docker

Kafka

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow

Angular

Node.js

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

The Data Engineer will work closely with senior developers to build out new and maintain existing ETL pipelines in Airflow. They will be part of our Data Technology team working with an all new technology stack, working closely in collaboration with internal and external stakeholders.

Now, if you were to come on board as our Data Engineer, we’d ask you to do the following for us:

• Design, implement and maintain data pipelines for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
• Build and maintain existing Airflow DAGs
• Maintain and add to our middle tier API
• Prototype new technology that supports our vision of making our consumer’s experiences better with our data
• Provide support and insights to the business analytics and data science teams
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Think you have what it takes to be our Data 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:

• At least 2-3 years of relevant experience in a similar role or function
• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar
• Programming skills with Python and Spark
• Exposure to at least one cloud provider, AWS preferred
• Knowledge of SQL, relational database concepts and SQL scripting
• Some experience with Airflow highly preferred, or similar systems
• Web Development skills with languages and frameworks like Angular, Node.js would be a plus
• Experience with Docker, Kafka or other data stream processing software platform is preferred

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.