Madrid (Madrid), Madrid
Jornada Completa


Unleash Your Potential at L'Oréal's Beauty Tech!

 For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L'Oréal is the global industry leader.

 Today, L’Oréal includes more than 2,000 tech positions and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.

Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L’Oréal continues to recruit diverse, innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.



Data plays a crucial role in L’Oréal’s activities to propose always more performant and sustainable cosmetic products. The Europe Beauty Tech Data Team is a growing group of people who are passionate about the emerging technologies in Cloud, Data, ML, GenAI etc … The team is composed of Cloud Data Architect, lead Data Engineers, Data Engineers, Agile Delivery Managers, Data Viz expert and Testers. 

With technologies such as GCP and PowerBI mainly, we build our scalable and always updated data platform to integrate the different data sources and to expose a unique and universal view of all data for Europe Countries. We cooperate with the Business to elaborate the Roadmap and common ambitions. 
 We work closely with Global Beauty Tech teams and other Cloud experts to share experiences and skills inside our community. 


What a day in the life of the Data team looks like: 

As a Data Engineer inside the Europe Beauty Tech Data Team, you will build the end-to-end data integration pipeline from input layer to exposition layer in respecting the best practices. With other members of the team, you guarantee an optimum functioning of the platform by always optimizing the existing and proposing adapted architecture design for the new needs. You will also cooperate with the experts from the Global Beauty Tech Data Team and our partners like Google, Microsoft to leverage the most updated knowledge. 

In addition, for a concrete data product development lifecycle, you will be part of a Product Squad, composed by a Product Owner from the Business, an Agile Delivery Manager, a DataViz Expert and a Tester. This Squad works with the métier to understand their requirement and support the Data Analyst or Data Scientist for their data consumption.

Your main missions: 

  • Build the data pipeline with existing template to ingest data with the best practices (CI/CD, Code Quality, Test coverage etc.) and monitor the production environment once deployed. 
  •  Design the data modelling and data exposition to use case with Data Architect and ensure the security of data with AmaaS (Access Management As A Service) 
  • Optimize in continual improvement of the architecture using serverless or managed services on top of Google Cloud Platform 
  • Participate in the workshops with the different stakeholders: Data Product Owner, Data Analyst, Data Scientist to promote the data usage and to leverage the value of data 
  • Work in an international environment and cooperate with hubs based in Europe
  •  Pilot the project implementation with externals resources: contractor, nearshore outsourcing 
  • Aware of new technology innovation and realize them with the PoC project.
  • You will be pioneer on building a new factory of interns DE located in L'Oréal Madrid and reporting to central Europe Team in Paris
  •  Few travels to plan during the year



First and foremost, we love people that are curious, collaborative, eager to have an impact, proactive and who value innovation, autonomy, and team spirit.

 Secondly, in this specific position, it will be important for you to have:

  • 3+ years IT technical experience in Data Engineering or Software Engineering with a first experience in architecture design in Cloud environment GCP 
  • Experience designing data models and data warehouses and using SQL and NoSQL database management systems
  • Good Experience with one general purpose programming language (e.g., Python, Java, C#, TypeScript, etc) and success in implementing applications or APIs 
  • Good understanding of the DevSecOPS
  • Ability to communicate with both technical and non-technical audiences. 
  • Curiosity to new technologies with good ability to learn quickly 
  • Good resilience to face the challenge and resolve the difficulty 
  • Engineering school / Master’s degree or equivalent 
  • Good Verbal and written communications skills in English
  • Position based in Madrid  



Joining L'Oréal means joining a company that:

  1. Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy.
  2. Allows its employees to have a real impact, to test their ideas, to innovate and to build our future.
  3. Offers a Hybrid Work Policy: 3 Days in Office, 2 Days Work from Home
  4. Provides a powerful and innovative HR policy: dynamic mobility policy, significant investment in employee training, regular re-evaluation of remuneration, numerous innovative HR measures: Time Savings Account, paternity leave, Citizen Day, etc.
  5. Delivers an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and we do not discriminate in recruitment, hiring, training, promotion, or other employment practices. The beauty we find in our differences gives us the freedom to go beyond. That’s the beauty of L’Oréal.



  1. Interview with HR
  2. Interview with the hiring manager
  3. Interview with the business leader


We will be delighted to exchange with you!

  • Puedes inscribirte en un máximo de tres ofertas en un período de 30 días.
  • No puedes retirar tu solicitud una vez enviada, así que asegúrate de elegir la posición que mejor se adapte a tus habilidades y aspiraciones.
  • Visita el apartado “Tu espacio de candidatura” para ver las ofertas en las que ya te has inscrito.
  • Por favor abstente de crear cuentas adicionales con emails distintos ya que es probable que tus cuentas se unifiquen y que tus candidaturas en curso se pierdan