Tech Lead, Data Engineer

Compass Group North America; Canada; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading food service and hospitality provider in Canada seeks a Tech Lead, Data Engineer to lead a team of Data Engineers in developing and maintaining ETL pipelines and APIs. Applicants should possess 5–7 years of experience in data engineering, with strong programming skills in Python and SQL. The role involves collaboration with stakeholders and the data science team, ensuring scalability and robustness of data solutions. This position offers a hybrid work model, requiring in-office presence three times a week.

Qualifications

• 5–7 years of experience in a similar role.
• Experience in stakeholder management.
• Programming skills in Python and Spark.

Responsibilities

• Lead a pod of Data Engineers ensuring milestones are met.
• Design and maintain data pipelines using SQL and AWS.
• Build and maintain Airflow DAGs.

Skills

Data Pipeline Design

ETL Processes

Stakeholder Management

Python Programming

SQL Knowledge

Education

Bachelor's degree in Computer Science or similar

Tools

Apache Airflow

Docker

Kubernetes

Snowflake

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

Hybrid: 3 Times a Week in Office

The Tech Lead, Data Engineer will work closely to lead a pod of 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.

Responsibilities

• Lead 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.

Qualifications

• 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.

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.