Act as métier partner on ideation process and data modelsdeisgn
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Unleash Your Potential at L'Oréal's Beauty Tech!
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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. With37 general beauty brandsacross four divisions, L’Oréal offersbeauty for eachcovering all beauty categories and catering to all beauty desires.
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With the acquisition of the Australian brandAēsopin 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive tocreate the future of beauty.
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Today, L’Oréal includes more than2,000 tech positionsand is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities anda digitaldisruption.Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.
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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 recruitdiverse,innovative, skilledandpassionateminds in different tech domains such asData, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.
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YOUR FUTURE TEAM
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Step into the heart of L'Oréal's Beauty Tech transformation!
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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.
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The team is composed of Platform Cloud Architect, Lead Data Engineers, Data Engineers, Front-end developers, Product Leads
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What a day in the life of the Lead Data Engineer forEurope BeautyTech Datateam looks like:
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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
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Delivery Leader Pilar
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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 :
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Ensure the team uses recommended engineering practicesand framework
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Is responsible of the technical quality and compliance with the technical frame of the delivery
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Upskill and onboarding of the team
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Provides his inputs about the product roadmaps
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Responsible of global technical consistency design of the dataacross the analytics products within the data domain
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Business Partner Pilar
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Understand the product owner needs to ensure the technical robustness
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Plan the team size and skills with the management and the PO
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Scoping and estimation processfor new analytics products
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Act as métier partner on ideation process and data modelsdeisgn
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Invests in continual improvements of the platform to meet the changing needs and environment - Innovation
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Actively involved in the Data Engineering community
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THIS IS WHAT YOU WILL NEED TO SUCCEED!
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6+ years IT technical experience in Data Engineering or Software Engineering with a first experience in architecture design in Cloud environment GCP
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Has strong leadership skills, architectureskillsand development skills
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Has a longexperiencein softwaredevelopmenton largeprojects(Notjustacodingexperiencebutisable todefinethe standards)
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SignificativeExperience with one general purpose programming language (e.g., Python, Java, C#, TypeScript,etc) and success in implementing applications or APIs
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Isa facilitator (animate technical session) and a trainer (knowledge transfer, sharing)
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Problem anticipator & solver
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Be able toestablishand maintain strong relationshipswith other teams
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Be able todemonstratestrong resilience and thrive in a dynamic, fast-paced work environment,
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Team spirit with other Data Tech Lead: Share difficulties and ideas; solve problem together
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Aware of new IT innovations and development best practices
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Preferred stack: GCP expert, Terraform, SQL,Github, FAST API
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Any relevant experience on Digital & Marketing systems or data is a plus (CRM, Social Media sources, Media Agencies data etc)
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Good Verbal and written communications skills in English
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LET US GIVE YOU 6 OTHER REASONS TO JOIN