Senior Data Engineer

About

You are joining the Ubisoft Data Office – Domain Enabling to contribute to AI innovation initiatives. As a Senior Data Engineer, you are responsible for designing, building, and maintaining scalable data pipelines and architectures that enable AI and machine learning models to function efficiently. This role bridges traditional data engineering with specific AI needs, ensuring high-quality, fast, and secure data delivery for advanced analytics and AI applications.

Responsibilities

• Identify and qualify relevant data within an AI innovation framework by interacting with UDO domains and the AI innovation team.
• Design, develop, maintain, and optimize complex data pipelines (structured or unstructured source data).
• Implement rigorous validations, cleaning, and controls to ensure data integrity.
• Ensure compliance with data privacy and security standards.
• Analyze AI-generated data, as well as metadata, to understand usage and needs and adapt accordingly.
• Demonstrate innovation in proposed solutions to build growing use cases with their maturity level.

Qualifications

• Strong analytical and problem-solving skills with autonomy.
• Building data pipelines (SQL, Python, PySpark) in a Cloud environment (e.g., Snowflake, Databricks) with scalable, maintainable, and reusable code.
• Familiarity with AI/ML frameworks and vector databases for model-centric workflows.
• Ability to adapt to dynamic environments and emerging technologies.

Skills & Knowledge

• Excellent command of SQL, Python, and PySpark.
• Snowflake and/or Databricks ecosystems (cloud data).
• Airflow or equivalent for orchestration.
• DataOps/DevOps: Git, CI/CD, monitoring/observability, tests.
• Data quality & rigorous documentation.
• Experience within AI projects.