Tech Lead Data & Analytics (Snowflake, dbt, Tableau) F/M/X

Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. 

Our teams, known as Heartists®, bring together the best of hospitality with the best of tech and digital. Our ambition is to provide our customers with personalized, memorable, and sustainable experiences. 

Here, we create new ways to travel within each of our 5,500 hotels, connecting closely with our 100 million clients in 110 countries.  

Here, we are at the heart of an incredible playground for technological transition and the design of digital products and services for our customers and hotel teams. 

Here, your scope will know no boundaries; 

So join us and dare to make an impact on the world! 

This is where your biggest challenge awaits you:

Within the Data Department, you will join the Data Engineering vertical and report to our Data Director. Your mission will be to co-lead a Feature Team (FT) alongside a Product Owner. Your team's mission is to provide the best Data Products (Analytics and AI) to your users while ensuring the lowest possible service cost.

Context:

In the midst of organizational and digital transformation, Accor is adopting an Agile culture and the DevOps technical requirements of major players (Amazon, Google). Our technical ecosystem has evolved significantly in recent years and is now based primarily on market-leading Cloud/SaaS solutions (Snowflake, Tableau, AWS), integrating the best of open source (dbt, airflow, etc.).

Within the Data department, the Data Engineering vertical works closely with our Product, Data Managers, Data Analysts, Data Scientists, ML Engineers, and Scrum Masters teams.    

Your Mission:

As a technical advisor and guarantor of “quality/performance,” your job will be to manage the people involved in developing and improving data products. 

As Tech Lead, you will be responsible for:

• Managing and coaching a team of Data Engineers (internal and external)
• Ensuring the implementation of best development practices (DevOps, etc.)
• Making technical and modeling choices in consultation with other Data Leads (Snowflake urbanization, patterns, dependencies, quality, etc.)
• Integrating data sources under the responsibility of your FT via our in-house “DataHub” solution
• Industrializing Data products (analytics & AI)
• Optimizing their performance and costs (FinOps)