Data Engineer
Hyderabad, India
Real-world Tech at scale
We are a team of 2,200 technology experts designing the software, products, cloud, and AI that power L'Oréal in 150 countries. We build tools that help our internal teams work smarter, while shaping immersive digital experiences for millions of consumers. With Gen-AI unlocking new possibilities, we combine advanced science with cutting-edge technology to deliver beauty that is personalized, inclusive, and responsible.
This is engineering excellence, delivered at global scale
Skills you'll sharpen here
- AI fluency
- Cloud
- Tech product development
- Cybersecurity
- Integration
- Data fluency
As well as these, L'Oréal employees build the transversal soft skills needed to partner across the business.
Why build here?
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We build API-first and Cloud-first, using the best stacks from Google, Microsoft, and Meta.
You get the budget and data to build things that actually ship - like L'Oréal GPT or our connected beauty devices-and push them live across 150 countries. We move fast, but we don't do it blindly.
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We also expect your career to keep moving.
People don’t get stuck in one lane here. With over 1,600 internal moves a year and full access to our Tech & Data University, you are encouraged to switch teams, learn new stacks, and grow. Finally, how you build matters. You will be expected to write code that is accessible to everyone, and design architecture that keeps our servers’ carbon footprint low.
Data Engineer
Hyderabad, Telangana, India
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. 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 professionals 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.
A Day in the Life of Senior Data Engineer!
As a Senior Data Engineer, you will play a key role in enabling L'Oréal's data-driven transformation by designing, building, and optimizing scalable data solutions on the Google Cloud Platform (GCP). You will develop robust data pipelines, modern data platforms, and cloud-native data architectures that power analytics, reporting, AI, and business decision-making across global business functions.
In this role, You will..
Be responsible for the following:
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data.
- Build and manage modern cloud-based data platforms, data lakes, and data warehouses.
- Ensure data quality, integrity, governance, and security across data ecosystems.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions.
- Optimize data workflows and processing performance to improve scalability and cost efficiency.
- Implement data integration solutions from multiple enterprise systems, applications, and external sources.
- Support analytics, BI, and AI/ML use cases by delivering reliable and accessible datasets.
- Monitor, troubleshoot, and resolve production issues related to data pipelines and platforms.
- Follow DevOps and DataOps best practices including CI/CD, automation, testing, and monitoring.
- Contribute to data architecture discussions and support the evolution of L'Oréal's global data strategy.
What are we looking for?
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- 6-9 years of hands-on experience as a Data Engineer.
- Strong experience working on Google Cloud Platform (GCP) is mandatory.
- Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and related GCP services.
- Strong expertise in SQL and advanced data modeling techniques.
- Proficiency in Python and experience developing scalable data pipelines.
- Experience building ETL/ELT solutions using cloud-native and modern data engineering frameworks.
- Strong hands-on experience with Apache Spark and distributed data processing technologies.
- Experience with orchestration tools such as Apache Airflow/Cloud Composer.
- Knowledge of data lake, data warehouse, and lakehouse architectures.
- Experience integrating data from enterprise applications, APIs, databases, and streaming platforms.
- Strong understanding of data quality, data governance, metadata management, and security best practices.
- Experience with CI/CD pipelines, Git, DevOps/DataOps practices, and Agile methodologies.
- Ability to troubleshoot complex data processing and performance issues in cloud environments.
- Strong communication and stakeholder management skills with experience working in global teams.
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 environment
Good to know: The Recruitment Process
- Interview with HR
- Technical Interview
- Interview with the hiring manager
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.
- Reference number: 253086
- Location: Hyderabad, India
- Date posted: 10/14/2026
- Employment type: Full-time
- Professional field: Tech & Data
- Type of contract: Permanent
- Data Platform
AI Charter: our pact
Why a Pact? At L’Oréal, innovation has been in our DNA for over 115 years. As we invent the future of beauty, we see Artificial Intelligence as a powerful co-pilot, with the firm belief that technology must always serve people. This pact is our commitment to you: we want to be transparent about how we use AI during the recruitment journey, and we invite you to use it in a way that showcases your unique talents. Above all, we believe in a journey that is ethical, transparent, and human.
View our AI Charter (opens in new window)
What our people say
As an engineer passionate about new technologies, what drives me is democratising AI and tech. I'm committed to making them truly accessible and bringing real value to employees across all our diverse businesses.
Lina, AI Product Lead
What we bring to the table
Please note: The exact benefits can vary depending on your country.
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A Competitive Salary to Secure Your Talent
Our Share & Care commitment ensures you receive a competitive monthly salary that stands out locally, recognizing your contribution to our success.
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Your Health & Well-being First
You'll have access to medical coverage and a range of wellness resources, including mental health support, to ensure you feel your best.
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Unlock Your Potential
From day one, you get full access to our global learning platform with over 10,000 courses to build the skills for your future career.
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Flexibility for a Balanced Life
Find your perfect balance. We offer a hybrid work model and flexible arrangements, so you can manage your professional and personal life effectively throughout your career.
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The Ultimate L'Oréal Experience
Get generous discounts on our entire portfolio of iconic brands and be the first to try our latest product innovations.
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Thriving Community
Enjoy a dynamic work environment designed for connection and growth. From modern, collaborative offices to exciting social events, you'll be part of an ultra-connected network.
Think you’d be a great fit? We’d love to see you apply.
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