Data Developper TG Qualifty Engineering (TGQF)

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!

Job Description

As a Data Engineer, you will work closely with Product teams and Backend and Frontend developers to design, build, and maintain data pipelines that track and measure game performance.

You will be responsible for making sure that game data is accessible, reliable, secure, and high quality, so internal teams can use it to improve and optimize Ubisoft games at scale.

Responsibilities

• Design, build, and maintain data pipelines to transport large volumes of data.
• Develop data transformation processes that deliver meaningful game performance data to production teams.
• Contribute to data architecture initiatives for both structured and unstructured data.
• Monitor and ensure data quality, including reliability, consistency, and integrity.
• Monitor the performance and stability of the data platform.
• Analyze key performance indicators and propose infrastructure improvements to improve scalability and efficiency.
• Support the implementation of new and existing data systems, tools, and processes.
• Collaborate with cross-functional teams and perform related tasks as needed.

Qualifications

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field.

Relevant Experience:

• Minimum 5 years of experience working with data, coding, scripting, and system design.
• Minimum 5 years of experience developing and managing large-scale data systems.
• Minimum 3 years of experience in data modeling and managing SQL and NoSQL databases.

Required Skills:

• Ability to design and implement data processes based on data flow concepts and pipeline architectures.
• Strong expertise in Extract, Transform, Load (ETL/ELT) operations across multiple systems.
• Ability to configure, operate, and scale data management systems, ensuring performance and reliability.
• Strong ability to develop complex, well-structured software, applying software engineering principles and best practices.
• Ability to conduct independent research to identify relevant solutions to complex technical problems.
• Knowledge and practical experience with Agile development methodologies (Scrum, Kanban, etc.).

Required Knowledge:

• Experience working in cloud environments, particularly with Databricks.
• Experience with Delta formats (Delta Lake) for managing transactional and analytical data.
• Ability to use and combine data processing tools and languages such as Apache Spark, Scala, and PySpark to integrate and orchestrate systems.
• Experience designing and using conceptual data models (CDM).
• Experience with Kafka or other data pipeline and streaming tools.
• Strong understanding of computer science fundamentals, including algorithms and data structures.
• Experience with data-oriented architectures, including data flow analysis.
• Experience with real-time data extraction, transport, and loading processes.
• Experience with .NET (an asset).
• Experience designing and consuming REST APIs (an asset).