Mid Analytics Engineer, Dailymotion

• 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

• Dailymotion is seeking an Analytics Engineer to join the Data 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 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 an Analytics Engineer, you'll blend software engineering and data skills to maintain code and model data effectively
• If you're eager to solve challenging business problems, this role offers a broad impact across all of Dailymotion's businesses
• 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

• 🏡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 months abroad)
• 💰International Group Savings Plan offered through the Vivendi Group
• 🍼8 weeks paid Paternity leave or Co-parental leave
• 🕶️Excellent Employee Culture (Company Events / Trainings / Parties / All hands …)
• 🚀Career development support (training / career check-in with HR / internal mobility / compensation cycle / 360 quarter feedback review …)
• 🏥Company-paid Health Insurance and Personal Services Vouchers (CESU)
• 🚆Commuter benefit coverage - Public Transport and Bike refund
• ⛱️Paid Time off – RTT and Saving time plan (CET)
• ✅Meal Vouchers
• 🎡Workers representatives committee(sport membership/cinemas vouchers/gift vouchers/discount)

Total funding: $68.5m

In many ways, it's difficult to talk about Dailymotion without talking about YouTube, its most obvious competitor. And it is indeed worth noting that the company underwent a major change in recent years to build its own programmatic platform partially to compete more directly with its famous American counterpart.