Data Engineer - Beauty Tech Corporate

WANT TO KNOW MORE ABOUT OUR BIG TECH TRANSFORMATION?

L’Oréal is present in countries on five continents. For more than a century, L’Oréal has devoted itself solely to one business: beauty; it is now the industry world leader with € billion consolidated sales.

Today, L’Oréal includes tech positions and it’s constantly growing. Especially with our ambition to become the BeautyTech company, meaning inventing the beauty of the future while becoming the company of the future.

BeautyTech will equip the Group with the key assets it needs to conquer this new world, where Tech has become strategic.

To achieve this ambition, L’Oréal needs to continue recruiting diverse, innovative, skilled, and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications, and Infrastructure.

Within the Beauty Tech Corporate IT Data Team, you will evolve in a team of around members, onshore and offshore. You will have the opportunity to work actively with the Corporate and HR business teams helping them build analytical dashboards while leveraging the AGILE methodology.

The team is innovative, in full growth, dynamic, and enthusiastic.

INTERESTED?

THIS IS WHAT YOU WILL DO IN NUTSHELL!

We can summarize your missions in several missions:

• Actively participate in building the new Corporate Analytical Data Platform using pioneer technologies such as SNOWFLAKE, DBT, Google Cloud Platform, and Power BI.
• Maintain the legacy data platform (SQL Server, Informatica, Business Objects).
• Understand and challenge the business needs.
• Build and maintain Analytical reports using Power BI (Business Objects for the legacy).
• Maintain and enhance the Legacy platform while migrating to the new platform.
• Construct a reference guide, by documenting our processes.

STILL INTERESTED?

THIS IS WHAT YOU WILL NEED TO SUCCEED!

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:

• Advanced degree in engineering or technical/scientific field of study.
• Years of experience as Data Engineering.
• Strong competency with data manipulation: SQL IS A MUST!!
• Power BI (especially in direct query mode).
• Business intelligence concepts (BI, Data warehouses, data mart).
• Informatica, Business Object, SQL Server.
• Python is a plus.
• Fluent in English and French.

Finally, you may not be an expert with all requirements listed, however, you must show great appetence to rapidly upskill yourself on:

• SNOWFLAKE, GCP, DBT, Python, C.
• Business Objects, Informatica, SSRS.

Joining L'Oréal means joining a company that:

• Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy.
• Allows its employees to have a real impact, to test their ideas, to innovate and to build our future.
• Has a powerful and innovative HR policy: a very 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.
• Has chosen to uphold strong values and to be particularly advanced from a social and environmental point of view (strong diversity and inclusion policy, L'Oréal for the Future program, commitment to numerous communities, etc.).

The L'Oréal Group is convinced that difference is a deep source of wealth, that allows everyone to grow, to challenge themselves and to go further.

We strongly encourage everyone to always dare and never censor themselves. Skills can always be learnt.

We will be delighted to exchange with you!

Ready to build the future of L'Oréal together? Apply now!