Senior Data Engineer

About The Role

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.

Position Details:

• Position Title: Senior Data Engineer
• Salary: 120,000.00 - 160,000.00
• Employment Type: Full Time, Permanent 
• Hybrid: 3 Days a Week - Toronto/ Mississauga

In accordance with provincial legislation and our commitment to transparent hiring practices, the compensation range for this position is provided. Final compensation will be determined based on qualifications, experience, and internal equity. Canadian work experience is not required. Please note that artificial intelligence tools are utilized in the applicant screening process.

Job Summary

Hybrid: 3 Times a Week in Office

The Senior Data Engineer will work closely with our  Data Engineers to build out new and maintain existing ETL pipelines in Airflow, along with building and maintain data API’s. 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 Senior Data Engineer, we’d ask you to do the following for us:

• Work with a pod of Data-Engineers ensuring that milestones are being hit.
• 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
• 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
• Work with Data Scientists and Machine Learning Engineers to build out robust and scalable pipelines and APIs

Think you have what it takes to be our Senior 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:

• 5-7 years of experience in a similar role.
• Comfortable dealing with stakeholders (both internal and external), project managers to ensure deliverables are met.
• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar.
• Programming skills with Python, Spark, experience with Apache Iceberg a big plus
• Experience with Airflow or other modern orchestration platform.
• Strong knowledge of SQL, relational database concepts and SQL scripting
• Experience with Docker, Kubernetes, Snowflake, CI/CD