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. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.
Today, L’Oréal includes more than 2,000 tech positions and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. 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.
YOUR FUTURE TEAM
Step into the heart of L'Oréal's Beauty Tech transformation!
Europe Beauty Tech Data team is a diverse team of passionate data experts, united by a single mission: to empower our métiers and partners to shape the future through data: we build the intelligent, AI-powered products that drive strategic decisions at the world's leading beauty company.
The team is composed of Platform Cloud Architect, Lead Data Engineers, Data Engineers, Front-end developers, Product Leads
What a day in the life of the Lead Data Engineer for Europe BeautyTech Data team looks like:
As a Lead Data Engineer for Digital & Marketing inside the Europe Beauty Tech Data Team, you will oversee all analytics & AI initiatives of Digital & Marketing from a technical point of view
This position embrace various tasks such as acting as a technical referent for the team members (data engineers, front-end developers), being part of the hiring process of new joiners, co-build hand in hand with the métiers functional architectures and data models etc. In this role you will :
Delivery leader pilar:
- Ensure the team uses recommended engineering practicesand framework
- Is responsible of the technical quality and compliance with the technical frame of the delivery
- Upskill and onboarding of the team
- Provides his inputs about the product roadmaps
- Responsible of global technical consistency design of the dataacross the analytics products within the data domain
Business partner pilar:
- Understand the product owner needs to ensure the technical robustness
- Plan the team size and skills with the management and the PO
- Scoping and estimation processfor new analytics products
- Act as métier partner on ideation process and data modelsdeisgn
- Invests in continual improvements of the platform to meet the changing needs and environment - Innovation
- Actively involved in the Data Engineering community
THIS IS WHAT YOU WILL NEED TO SUCCEED!
- 6+ years IT technical experience in Data Engineering or Software Engineering with a first experience in architecture design in Cloud environment GCP
- Has strong leadership skills, architectureskillsand development skills
- Has a longexperiencein softwaredevelopmenton largeprojects(Notjustacodingexperiencebutisable todefinethe standards)
- SignificativeExperience with one general purpose programming language (e.g., Python, Java, C#, TypeScript,etc) and success in implementing applications or APIs
- Isa facilitator (animate technical session) and a trainer (knowledge transfer, sharing)
- Problem anticipator & solver
- Be able toestablishand maintain strong relationshipswith other teams
- Be able todemonstratestrong resilience and thrive in a dynamic, fast-paced work environment,
- Team spirit with other Data Tech Lead: Share difficulties and ideas; solve problem together
- Aware of new IT innovations and development best practices
- Preferred stack: GCP expert, Terraform, SQL,Github, FAST API
- Any relevant experience on Digital & Marketing systems or data is a plus (CRM, Social Media sources, Media Agencies data etc)
- Good Verbal and written communications skills in English
LET US GIVE YOU 6 OTHER REASONS TO JOIN US!
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.
- Offers a Hybrid Work Policy: 3 Days in Office, 2 Days Work from Home
- Provides many benefits: VIP staff shop offering our products at a preferential rate, a company restaurant & gym, 60% reimbursement of transportation subscription, a work council offering lots of employee discounts (social & cultural activities, holiday vouchers etc.) and much more!
- Delivers 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.
- Is an Equal Opportunity Employer and takes 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.
Want to learn more about L’Oréal Beauty Tech? Click here.