Ubisoft Senior Data Engineer AI Innovation (W/M/NB) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Senior Data Engineer AI Innovation (W/M/NB) Full-time Contract: Permanent Work flexibility: Hybrid Company Description Location: Saint-Mandé, France Contract: Permanent Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassins Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If youre 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 Enabling Domain to contribute to AI-focused innovation initiatives. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that enable AI and machine learning models to operate efficiently. This role bridges traditional data engineering with the specific needs of AI, ensuring the high-quality, fast, and secure data delivery required for advanced analytics and AI applications. Responsibilities Identify and qualify relevant data in an AI innovation context by collaborating with UDO domains and the AI Innovation team. Design, develop, maintain, and optimize complex data pipelines (structured and unstructured data sources). Implement rigorous validation, cleansing, and quality controls to ensure data integrity. Ensure compliance with privacy and data security standards. Analyze AI-generated data and metadata to understand usage patterns and requirements, adapting solutions accordingly. Innovate and propose creative solutions to support the development of scalable use cases as their maturity grows. Qualifications Relevant Experience Strong analytical and autonomous problem-solving skills. Experience 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. Experience with Snowflake and/or Databricks ecosystems. Airflow or equivalent orchestration tools. DataOps/DevOps practices: Git, CI/CD, monitoring/observability, testing. Strong data quality practices and rigorous documentation. Prior experience contributing to AI-related projects. Additional Information Profit sharing and yearly company savings plan. 25 paid days off + 12 additional paid days off (RTT). 50% of your transportation pass covered, lunch vouchers (9/day), healthcare for you and your family, and lots of additional Ubisoft perks. Parental leaves: maternity 20 weeks, paternity/co-parental 7 weeks. Our office is located in Saint-Mandé (Metro line 1, Saint-Mandé). Gym available in the building. Recruitment process \\[30 min\\]: phone call with a Recruiter. \\[60 min\\]: technical interview with a Technical Manager. \\[60 min\\]: interview with the Entity Director. Information about Ubisoft Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment that reflects the diversity of our players community. Check out this guide to help you with your application, and learn about our actions to encourage more diversity and inclusion. Check out this guide to help you with your application, and learn about our actions to encourage more diversity and inclusion. 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The role requires strong analytical and autonomous problem-solving skills. Experience in building data pipelines using SQL, Python, and PySpark within a cloud environment such as Snowflake or Databricks is necessary. Candidates should have experience with scalable, maintainable, and reusable code. Familiarity with AI/ML frameworks and vector databases for model-centric workflows is also needed. The ability to adapt to dynamic environments and emerging technologies is important. Prior experience contributing to AI-related projects is required.