52 Entertainment est le leader mondial dans divers jeux de stratégie et de réflexion en ligne. À la croisée des chemins entre le jeu, le divertissement et l'e-sport, 52 Entertainment présente un profil unique dans l'industrie du jeu en tant qu'unique plateforme Evergreen (plus de 50 jeux) rassemblant des communautés de joueurs passionnés et fidèles avec plus d'un milliard de parties jouées chaque année.

52 Entertainment est le leader mondial dans plus de 5 catégories de jeux à succès, dont le bridge (BBO et Funbridge), la voile électronique (Virtual Regatta), le tarot, la belote, la canasta moderne et les dominos ainsi que les jeux casuals (Casualino, Loop Games).

Son rayonnement est mondial (plus de 180 pays et plus de 27 langues prises en charge), son modèle économique est très rentable, résilient et prévisible, basé sur des modèles récurrents, des taux d'engagement élevés, une monétisation hybride et des économies unitaires exceptionnelles.

52 Entertainment est une entreprise centrée sur les personnes et croit en leur état d'esprit et en leur capacité à créer, innover et bouleverser. Qu'elles soient techniques, fonctionnelles ou transversales, nous recherchons avant tout des personnes brillantes et bienveillantes qui s'intègrent dans les équipes en place aujourd'hui : -)

We are looking for an intermediate Analytics Engineer (or "BI Engineer") -he/she / they- to join our Data Team . You will be responsible for designing, developing, and maintaining SQL models and data pipelines that enable data analysis, reporting, and visualization, empowering stakeholders to gain valuable insights and make data-driven decisions.. You will work inside the Product / Marketing squad inside the Data Team and you will report to the VP of Growth.

This position is hybrid (4 days per week at the office) and located in Paris.

Team description :

• The Data team at 52 entertainment is full of talents working on Business & Financial, Product and Marketing KPIs. It is a cross-functional team that connects with all business units (US, Europe, Asia).
  
• Some are geeks, some are not, apply as you are, we're a diversity-friendly team. In our team everyone is to be treated equally regardless of sex, race, gender identification, disability, age, religion, ...
  

Stack :

• Modern Data Stack : Prefect, Spark, Google BigQuery, dbt, Github, VSCode, Deepnote & Looker
  
• Project Management : Slack, Google Drive, Confluence, Jira
  
• The Analytics Engineering activities will focus on Google BigQuery, dbt and Looker.
  

Missions :

• Talk to Product / Marketing stackholders to understand their needs
  
• Identify and implement models for key data sources (first-party or third party)
  
• Write SQL queries for various purposes (data cleaning, KPI modeling, ...)
  
• Architecture a clean and scalable transformation pipeline using dbt
  
• Document database models (comments in code, wiki pages)
  
• Audit raw and transformed data and create data quality tests
  
• Connect the created databases into Looker, our BI tool
  
• Maintain and configure Looker (user access / permissions)
  

We're excited about you because...

• You have hands-on experience building and optimizing dbt pipelines for B2C applications, ideally in the gaming industry, and know how to structure them for scalability and efficiency.
  
• You are skilled at setting up and maintaining self-service BI environments, particularly with Looker, enabling stakeholders to independently retrieve insights with ease.
  
• You excel at simplifying complex systems, creating data models that are intuitive, well-documented, and built for long-term maintainability.
  
• You have a strong understanding of SQL and know how to transform raw data into actionable metrics while ensuring data quality and reliability.
  
• You enjoy collaborating with diverse teams, translating business questions from Product and Marketing stakeholders into technical solutions.
  

Benefits :

• Work in a start-up with exceptional growth
  
• Highly interesting work environment with flat hierarchy, fast pace and fun
  
• You'll have a real impact on people's lives ! If you have the potential, we will do everything to help you to achieve the highest level of personal and professional development.
  
• Ultimate flexibility. we try to have team overlap every day, but outside that work whenever and wherever you work best.
  
• Extreme autonomy. No micro-managing here. After onboarding, you'll be given high-level direction and then left to solve it the way you feel is best.
  
• Amazingly friendly Data team.
  

Your Profile

• Location : Paris
  
• Experience : 3+ years of experience in Analytics Engineering
  
• Fluent English
  
• Highly open minded, diplomat and pedagogical
  

Your Skills

• Strong SQL expertise : You can write efficient, complex queries and ensure they are optimized for performance and scalability.
  
• Experience with dbt : You have a solid track record of designing and maintaining dbt pipelines, with a focus on scalability, clean architecture, and long-term maintainability.
  
• Proficiency with Looker : You are skilled in configuring Looker, creating intuitive dashboards, and enabling self-service analytics for stakeholders.
  
• Data modeling and architecture : You have experience designing clear, well-documented data models that simplify complex systems and support business needs effectively.
  
• Data quality and testing : You understand the importance of clean, reliable data and can implement robust data quality checks to ensure accuracy and trustworthiness.
  
• Cross-functional collaboration : You're comfortable working with Marketing Managers, Product Owners, and other stakeholders, translating business needs into technical solutions.
  

Our hiring process is sequential : we know job seeking is a stressful time of life, and we'll make sure things are transparent from our side. If you don't pass step 2, we won't waste your time on step3.

Interview steps :

• 1. [Visio-call] Preliminary interview where the scope of mission, our company, your aspirations, and salary compensation are discussed to see if we agree on the important things on both sides (30 min)
  
• 2. [Case-study] Real world scenario, on some data problem + few questions to check that written communication is clear
  
• 3. [Visio-call] Debrief from assignment + Background discussion to get to know you better
  

CV

A l'attention de : Responsable du recrutement