[2025] LOA - SPA - Data Engineer POP na L'Oréal

*******PRESENTED OUR TEAM! 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.  *********THIS IS WHAT YOU WILL DO IN NUTSHELL! 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. *************THIS IS WHAT YOU COULD EXPECT TO DO - 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. - Few travels to plan during the year  ************Requirements - 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 - Based in Madrid Candidatar-se agora