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About the role

  • Associate Data Engineer working with a global team to build reliable data pipelines. Collaborating on meaningful projects that support real business decisions within a hybrid work environment.

Responsibilities

  • Work closely with experienced engineers and analysts to build reliable data pipelines
  • Writing code daily, solving real data challenges, and contributing to scalable data solutions
  • Being part of a collaborative team where learning and mentoring are part of the culture
  • Gain hands-on experience with modern data tools and technologies
  • Contribute to meaningful projects that support real business decisions

Requirements

  • Some hands-on experience with Python for data processing or automation
  • Good working knowledge of SQL, including working with larger datasets
  • Exposure to ETL pipelines or data workflows (academic, internship, or professional experience)
  • Understanding of data modelling or transformation concepts
  • Comfortable working in a collaborative, code-first environment
  • Nice to Have: Experience with Snowflake
  • Exposure to cloud platforms like AWS, Azure, or GCP
  • Familiarity with orchestration tools (e.g., Airflow)
  • Interest or exposure to financial data environments

Benefits

  • Generous Time Off packages including additional half days with each public holiday in your location.
  • Global Career Development opportunities
  • Social Events
  • Referral Bonus scheme - Upto $3,000 per successful referral
  • Plus many more!

Job title

Job type

Full Time

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQL

Location requirements

HybridMontrealCanada

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