Lead L'Oréal's data engineering initiatives by designing and implementing robust data architectures to support innovative beauty solutions and analytics across global operations.

As the Data Engineer Lead at L'Oréal, you will spearhead the development of advanced data pipelines and infrastructure to empower data-driven decision-making across our beauty and cosmetics divisions. Your role will involve collaborating with cross-functional teams to integrate diverse data sources, optimize data flows for real-time analytics, and ensure scalability for global operations. You will mentor a team of engineers, drive best practices in data governance, and contribute to strategic initiatives that leverage AI and machine learning for personalized customer experiences. Join us in transforming the beauty industry through innovative data solutions that enhance product development, marketing strategies, and supply chain efficiency.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, with at least 2 years in a leadership role
• Proficiency in SQL, Python, and big data technologies like Hadoop, Spark, or Kafka
• Experience with cloud platforms such as AWS, Azure, or GCP
• Strong knowledge of ETL processes, data warehousing, and data modeling
• Excellent leadership and communication skills to mentor junior engineers
• Ability to work in a fast-paced, collaborative environment

• Competitive salary and performance-based bonuses
• Comprehensive health and wellness benefits package
• Opportunities for professional development and career advancement
• Flexible remote work options with collaborative tools
• Access to cutting-edge technologies and innovation projects
• Generous paid time off and work-life balance initiatives
• Employee discounts on L'Oréal products