Senior Data Engineer

L'oreal Usa; Hyderabad; Hybrid; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Hybrid work model

3 days in office, 2 days WFH

Wellbeing program

Long-term incentives

Job summary

L’Oréal is seeking a Senior Data Engineer to lead end-to-end data solutions within its Beauty Tech Data Platform. You will design scalable architectures on GCP, integrate major marketing APIs, and mentor engineering teams while aligning with business needs. A hybrid work model and global exposure are offered.

The role emphasizes governance, experimentation, and building GenAI-ready data architectures, with a focus on delivering reliable data products at scale.

Qualifications

• 7+ years in full-stack development with data/integration focus
• Experience managing high-volume data ingestion via third-party APIs
• Leadership experience: at least 2 years mentoring engineers or making architectural decisions
• Strong knowledge of marketing/adtech APIs and data architectures

Responsibilities

• Lead and manage technical teams (task delegation, code review, feedback)
• Mentor junior and mid-level data engineers
• Design onboarding and training programs
• Provide technical guidance and coordinate implementations
• Translate marketing requirements into technical data models and APIs

Skills

GCP

API integration

DevOps

Data modeling

Mentoring

Education

7+ years in full-stack development

Tools

Git

CI/CD

Terraform

Job description

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

Who Are We?

For 115 years, L’Oréal, the world’s leading beauty player, has devoted itself to one thing only: fulfilling the beauty aspirations of consumers around the world.

For more than a century, L’Oréal has devoted itself solely to one business: Beauty.Presentin 150 countries across five continents and with €42 billionconsolidatedsales, L'Oréal is the global industry leader.With37 global beauty brandsacross four divisions,L’Oréal offersbeauty for eachcoveringall beauty categories and cateringto 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 tocreate the future of beauty.

Today, L’Oréal includes more than2,000 tech professionalsand is constantly growing.Beauty Tech is changing the game and leading the shifttowardsnew consumer realities andadigitaldisruption.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 recruitdiverse,innovative,skilledandpassionateminds in different tech domains such asData, Digital, Cloud, Cyber Security, IT Architecture, DevOps,Applicationsand Infrastructure.

A Day in the Life of SENIOR DATA ENGINEER

In this role, You will..

Be responsible for the following:

Lead the end-to-end delivery of high-quality, scalable data and software solutions within L’Oréal’s Beauty Tech Data Platform, ensuring technical excellence, innovation, and alignment with business needs while mentoring and empowering engineering teams

What are we looking for?

Advanced Technical Expertise

System Architecture:Design and implement large-scale, end-to-end data architectures on GCP.

Marketing API Ecosystems :Expert knowledge in designing and maintaining integrations with major advertising platforms, specifically:

Meta Marketing API: Managing automated ad management, custom audiences, and insights.

Google Ads API & DV360: Orchestrating complex bidding strategies and reporting at scale.

Amazon Ads API: Navigating retail media data structures and advertising consoles.

DevOps : Proficiency with Git version control, CI/CD principles, automated testing, infrastructure as code (e.g., Terraform), and monitoring/logging tools.

(Nice to have) Advanced Data Modeling : Slowly changing dimensions, data vault modeling , complex scenarios

(Nice to have) Experience with building GenAI-ready data architectures

• Lead and manage technical teams (task delegation, code review, constructive feedback).
• Mentor junior and mid-level data engineers through cross-learning and peer programming.
• Design and implement onboarding processes and ongoing training programs.
• Provide technical and methodological guidance, coordinate implementations.
• Strategic & Collaborative Skills
• (Nice to have) Attribution & Measurement:Ability to translate complex business attribution rules (Post-click, Post-view, MMM) into technical data models.
• Marketing Data Translation:Act as a bridge between marketing business requirements and technical API implementations, ensuring data mapping aligns with advertising KPIs.
• Senior Agile Membership:Translate business needs into technical specs, estimate efforts, andparticipatein agile ceremonies.
• Stakeholder Communication:Excellent business and technical communication with analysts, BI developers, and business stakeholders.
• Risk Management:Identifyand manage risks (particularlyregardingAPI rate limits and data privacy), proactively alert the team.
• Software Craftsmanship:Promote development practices,identifyand manage technical debt.
• Product Vision:Support technical product vision, write technical user stories, and prioritize technical backlog with Product Owners.
• Build collective intelligence and foster team collaboration.
• Analytical thinking and problem-solving
• Full application lifecycle management.
• Environmental impact awareness (nice to have).

CERTIFICATIONS

Nice to Have

• GCP technical certifications.
• ITIL processes certification.
• Security or DevOps certifications.
• Terraform certification.

SENIORITY

Experience:7+ years in full-stack development, with significant experience managing high-volume data ingestion via third-party APIs.

Leadership:Minimum 2 years being a senior developer in projects, mentoring engineers, or making architectural decisions.

Portfolio:Complex projects showcasing expertise in scalable and reliable data solutions, specifically involving Marketing/AdTech stacks.

Technical Vision:Proven track record supporting and implementing technical visions for products.

Production at Scale:Extensive experience deploying and maintaining web applications and data pipelines in production.

What’s In It for You?

Working with cutting edge Technology, empowering employees with new age learning, global exposure, and opportunities to build future-ready careers.

A flexible and modern workplace, enabling teams to perform at their best through a smart hybrid model that supports balance and autonomy. A 3 Day in Office, 2 Day Work from Home setup.

Employee support at every life stage, with inclusive and progressive parental policies that help individuals and families thrive.

Holistic wellbeing offerings - personalized health benefits and strong mental wellness support to ensure employees feel their best.

Reward and Recognition opportunities, long-term incentives, and opportunities to share in L’Oréal’s collective success.

L'Oreal is an Equal Opportunity Employer and takes pride in a diverse environmen t

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.