Job description

Our stack runs almost exclusively on Google Cloud Platform. You will work in an environment made up of Data Lakes (BigQuery, etc.), orchestration and scheduling platforms (Airflow), container-oriented deployment, and management platforms (Docker, K8S, JenkinsX), SQL, 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.

• Expose the data through various means such as datamarts, and flat files for both internal and external users.
• Build complex and efficient SQL queries to transform data within our data lake into reliable business entities and reporting aggregates. Identify and manage dependencies for these transformations, scheduling them using tools like Airflow.
• Investigate discrepancies and quality issues in the data, as well as addressing performance issues.
• Design optimized and cost-efficient data models in BQ while addressing business use cases.
• Ensure data cleanliness, consistency, and availability by performing data quality checks and implementing monitoring.
• Catalog and document various aspects of the data, including business entities, datamarts, dimensions, metrics, and business rules.
• Serve as a subject matter expert on business entities and datamarts, providing training to users on SQL and analytics best practices (collaboration with Business Insight).
• Innovate by proposing new tools, processes, documentation, and exploring emerging technologies during designated cool-down periods.

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 (4 types of remote work : Full office /Flex office (1/2 days remote) / Flex remote (1/2 days at the office) / Full remote + ability to work 3 month abroad)
• 💰 Saving Plan Vivendi 
• 🍼  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)  

Preferred experience

• Minimum of 2-3 years of experience in Data Analytics.
• Fluent in both English (pro level) and French.
• Good proficiency with SQL.
• Strong team player, actively contributing to continuous improvement and fostering effective collaboration.
• Proactive approach to continuous technical exploration, with a keen interest in implementing new technologies and innovative solutions, including prototyping.
• Ability to draft technical specifications and good understanding of data modeling techniques (star, snowflake, medallion etc).
• Hands-on experience in building and managing analytics pipelines.
• Capable of making informed decisions based on business opportunities.
• Proficiency in at least one of the following programming languages: Python, Golang (preferred) or Java
• Hands-on experience with cloud-based data warehouses, particularly BigQuery/Snowflake.
• Proficiency in monitoring data quality of datasets and investigating discrepancies
• Good level knowledge on how to analyze, design, or improve the efficiency, scalability, and stability of data collection, storage, and retrieval processes.

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