Dailymotion is seeking a Lead Analytics Engineer to join the Data & Analytics Engineering Teams. Our craft is responsible for most of the Data products at Dailymotion; your work will have an impact throughout Dailymotion’s business and help make data-driven decisions on products and strategy.

You'll join the Data & Analytics Engineering craft at Dailymotion, to create and maintain data products. The Analytics Engineering team focuses on providing reliable data for analysis company wide. This includes building and managing our multi-petabyte data warehouse, highly scalable client-facing analytics, data ingestion & distribution, and data synchronization systems. As a Lead Analytics Engineer, you’ll lead the design of complex analytics systems, guide technical strategies, and mentor team members while maintaining a direct impact on business outcomes.

Responsibilities:

Our stack runs almost exclusively on Google Cloud Platform. You will work with technologies such as Data Lakes (BigQuery, etc.), orchestration and scheduling platforms (Airflow), containerized deployment (Docker, K8S, JenkinsX), SQL, and Data Quality Tools (DBT, Sifflet). You will also participate in data modeling activities and design of data flows until their implementation and support in production.

• Define and implement the technical vision for analytics engineering, aligning with organizational goals.
• Lead the design, development and optimization of analytics pipelines and data models to support high-impact business needs.
• Provide leadership and guidance to the analytics engineering team, fostering a culture of collaboration, growth and innovation.
• Partner with cross-functional teams (Business Insights, Product, Engineering) to gather requirements and deliver actionable insights.
• Establish and enforce best practices for data quality, pipeline reliability and system performance.
• Oversee the cataloging of data entities, dimensions and metrics while promoting consistent usage across the organization
• Drive the adoption of emerging technologies and tools, ensuring the team stays at the forefront of analytics engineering industry

Monitor and optimize the cost of data infrastructure, ensuring efficient resource usage

What we offer you:

• Additional opportunities as we grow and learn together.

• Join our open, collaborative culture.

• Exciting, dynamic projects to work on.

• Flexibility.

For the France offices 

• 🏡Hybrid Work Framework Flexible
• 🍼  Paternity leave or Coparental leave extended 
  

  🕶️  Living Employee Culture (Events / Trainings / Partys / All hands / Dailymotion tradition…) 

• 🚀  Career development support (training / internal mobility / compensation cycle / 360 quarter feedback review …)
• 🏥  High-end Health Insurance and Personal Services Vouchers (CESU)
• ⛱️  Paid Time off – RTT and Saving time plan (CET)
• ✅  Meal Vouchers – Public Transport and Bike refund 
• 🎡 European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount) 

🔍Want to learn more about us: 

• Dailymotion.com 
• New-York office - BuiltIn 
• Offices in France - Welcome to the Jungle 
• Our articles  

Required skills:

• 7+ years in data analytics or a related field, with at least 2 years in a leadership role.
• Proven track record of leading technical projects, defining strategies, and delivering results.
• Experience managing and mentoring engineering teams, with the ability to foster a collaborative and high-performing environment.
• Strong capability in designing, optimizing, and executing complex SQL queries.
• Proficiency in at least one programming language (Python, Golang preferred, or Java), with a focus on reusable and scalable code.
• Deep knowledge of data modeling techniques (e.g., star, snowflake, medallion) and their practical applications.
• Advanced experience with platforms such as BigQuery or Snowflake, including cost optimization strategies.
• Proven ability to implement data quality frameworks and troubleshoot complex data discrepancies.
• Strong interpersonal skills to engage with stakeholders, translate business needs into technical solutions, and ensure alignment.
• Demonstrated ability to evaluate, adopt, and champion new tools and technologies.
• Expert in optimizing the efficiency, scalability, and cost of data systems.

If you meet these qualifications and are passionate about leveraging data to drive insights and innovation, we encourage you to apply.