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Data Engineer

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Hybrid

Data Engineer

Compass Group

Data Engineer

Skills

SQL QueriesData EngineeringDockerPythonAWS LambdaKafkaSnowflakeData AnalysisAWSKubernetesApache Airflow

1 month ago

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Important information


Contract type:

Permanent

Location:

Toronto, ON, Canada

Work mode:

Hybrid

Published on:

11 September 2026

What they need


THE ROLE

We are looking for a Data Engineer to join our Data Technology team and help build and maintain scalable data pipelines and APIs. You’ll work with a modern technology stack and collaborate closely with internal and external stakeholders, Data Scientists, and Analytic Engineers to deliver reliable, scalable data solutions.

WHAT YOU'LL DO

  • Design, build, and maintain scalable ETL/ELT data pipelines using Python, SQL, Airflow, Spark that hosted in AWS environment.

  • Build and maintain Airflow DAGs, ensuring pipeline reliability and performance.

  • Develop and maintain data APIs and integrations across a variety of data sources.

  • Work with EMR, Iceberg, and Snowflake to support modern data processing and analytics.

  • Ensure data quality, observability, and monitoring across pipelines using tools such as Secoda.

  • Implement data quality checks and monitoring to identify and resolve data issues proactively.

  • Prototype and evaluate new technologies that unlock innovative data-driven consumer experiences.

  • Support stakeholders with data-related technical issues and needs.

  • Experience with Docker, Kubernetes, Spark, Snowflake, CI/CD a bonus

WHAT YOU'LL BRING

  • 3–5 years of experience in Data Engineering or a similar role.

  • Strong programming skills in Python and SQL.

  • Hands-on experience with AWS, Lambda, Airflow, and Spark.

  • Experience with Iceberg, EMR, and Snowflake is preferred.

  • Strong understanding of data pipelines, data quality, monitoring, and scalable data architectures.

  • Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, or a related field.

  • Strong communication skills, a collaborative mindset, and a willingness to learn.

GOOD TO HAVE

  • Experience with Docker and Kubernetes**.**

  • Experience with real-time/streaming technologies**, such as Kafka, Kinesis**

  • Experience with data observability and quality tools**, such as Secoda, Data Dog.**

  • Experience with CI/CD and modern software development practices.

ROLE DETAILS:

  • Full Time Permanent
  • 4 in Office Days a Week
  • Salary: 100,000.00 - 120,000.00
  • Perks: Bonus, Benefits as of Day 1, 4 weeks of vacation, RRSP Match and more!
  • Location: 1 Prologis Blvd, Mississauga / 72 Fraser Avenue, Toronto

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