Ubisoft

Data Developer

Montreal, QC, Canada · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerUbisoft
LocationMontreal, QC, Canada
Work styleOn-site
Employment typeFull-time
Employer posted3 months ago

As a Data Developer at Ubisoft Montreal, you will join the Player Domain within the Ubisoft Data Office. You will design, build, and deliver reliable data pipelines that meet high standards of quality, performance, and maintainability, from technical specification to live deployment. Working closely with architects and partners, you will ensure data solutions support product strategy and real usage.

What you’ll do

Develop and maintain data pipelines with a strong focus on quality, performance, and reliability
Translate product analysis into technical specifications in collaboration with business analysts
Partner with architects to design efficient data models and tables that accelerate time to insight
Design and monitor data quality indicators to ensure data integrity and consistency
Create and maintain test documentation, including unit and functional tests
Monitor production environments and contribute to operational stability
Communicate progress clearly, adapting messages to different audiences
Identify and resolve issues proactively using a structured problem-solving approach
Design and optimize ELT flows to support scalable data processing
Align data solutions with product strategy and business usage

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What you bring to the team

Advanced SQL skills for data analysis and transformation
Strong experience with PySpark in data processing workflows
Hands-on experience with cloud data platforms such as Databricks or Snowflake
Proficiency with Git for version control and collaboration
Expertise in ELT design and optimization
Experience defining data quality indicators and validation processes
Clear communication skills and a collaborative mindset
Autonomy and ownership in delivering data solutions

What to send our way

Your CV highlighting relevant skills and experiences
Links to projects, repositories, or examples demonstrating your data engineering work

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