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Data Developer

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • You will design, build, and deliver reliable data pipelines that meet high standards of quality, performance, and maintainability, from technical specification to live deployment.

  • 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

From the employer’s posting
Job Description 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
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
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

What you’ll bring

All qualifications

Core experience

  • 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
Qualification wording
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
Apply at Ubisoft

Posting record

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Open 4 monthsWe first saw this posting 125 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 1, 2026125 days ago
Recorded sightings
656
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 125

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Ubisoft is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 57% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • Snowflake
  • PySpark
Where the posting names them
What you bring to the team - Advanced SQL skills for data analysis and transformation - Strong experience with PySpark in data processing workflows
- 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
- 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

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

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 

Qualifications

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 

Additional Information

What to send our way  

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

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown! 

Source details

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Location & working pattern

Montreal, QC, Canada

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