Data Engineer

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 a Data Engineer ! As a Data Engineer in our Hyderabad Data Platform Team, you will build scalable data pipelines to power our global Beauty Tech solutions.

In this role, You will.. Be Responsible For The Following

• Data Pipeline Engineering: Build and optimize robust ETL/ELT pipelines using Python, SQL, and dbt on GCP.
• Cloud Infrastructure: Optimize BigQuery, Cloud Storage, and cloud-native data warehousing solutions.
• Collaboration: Partner with global data scientists and architects to ensure data quality and seamless accessibility.
• Data Modeling: Transform raw data into clean, modular, and well-documented datasets in BigQuery.

What are we looking for? You are an analytical problem-solver who thrives in agile environments, we are looking for:

• Python & SQL: Advanced coding and query optimization.
• dbt (Data Build Tool): Experience in transforming data and building modular models.
• GCP Stack: Strong experience with BigQuery and cloud data warehousing.
• Data Engineering: Designing scalable, reliable pipelines.
• Problem Solving: Analytical mindset to resolve pipeline challenges.

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
• Online Technical Test
• Technical Interview
• Business Interview

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.