Senior Data Engineer Publishing

Job Description

Senior Data Engineer – Publishing (W/M/NB)
• Location: Saint-Mandé, France
• Duration of work: Full-time
• Remote or on-site: Flexible working organization to be discussed with the manager of the role, in accordance with Ubisoft's hybrid work policy (minimum 3 days/week on-site in Saint-Mandé)
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 us create the unknown!
Job Description
You will join the Ubisoft Data Office – Domain Enabling to contribute to the Publishing Data Domain within an international, distributed team across Bucharest, Paris, and Montréal. As a Senior Data Engineer, you will design, build, and optimize data pipelines (ingestion, transformation) and the associated warehouse models/objects, while playing a key role in defining domain technical standards. You will partner closely with business stakeholders and adapt your communication to non-technical audiences.
What you'll do
• Design, develop, maintain, and optimize complex data pipelines and associated data-warehouse models.
• Test solutions, analyze data-quality incidents, and perform root-cause analysis.
• Contribute to domain guidelines and the technical landscape (tooling evaluation, best-practice improvements, onboarding and standards evangelization).
• Produce clear, maintainable technical documentation for each development.
• Participate in workshops/projects, provide inputs to planning and execution.
• Communicate effectively with business partners and present technical artifacts to non-technical audiences.
Qualifications
Relevant experience
• Building data pipelines with SQL, Python, and PySpark in Cloud environments (e.g., Snowflake, Databricks) with scalable, maintainable, and reusable code.
• Designing and developing Data Warehouse / Big Data solutions.
• Orchestrating pipelines (e.g., Airflow) and applying modern DataOps/DevOps practices (versioning, CI/CD, monitoring/observability, testing, release management).

Skills and knowledge
• Strong proficiency in SQL, Python, PySpark.
• Experience with Snowflake and/or Databricks.
• Airflow (or equivalent) for orchestration.
• DataOps/DevOps: Git, CI/CD, monitoring/observability, testing.
• Solid data-modeling and DWH best practices.
• Data quality mindset and rigorous documentation.
• Analytical culture and curiosity for data; familiarity with data-viz tools (Power BI, MicroStrategy, Tableau) is a plus.

Jobcode: Reference SBJ-pk4j39-35-215-184-102-42 in your application.