Education & certifications

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems or related fields.
Google Cloud, Data or AI certifications are a plus.
Additional training in analytics, AI, Python or cloud technologies is valued.

We welcome Creators Of All Kinds. If you are unsure of meeting all the requirements but trust you have the transferable skills to excel in this role, complete the application and our teams will get in touch if you are selected for an interview.

About the company & team

Puig is a home of Love Brands within a family company that furthers wellness, confidence and self-expression while leaving a better world. For more than a century, our entrepreneurial spirit and passion for creativity have made us a challenger in the premium beauty industry.

With 17 Love Brands across Fragrance and Fashion, Makeup and Skincare, we create stories that connect with people's emotions and are powered by a global team of over 13,000 passionate professionals. With products sold in more than 150 countries and €5,042 million in net revenue in 2025, and guided by strong values and sustainability commitments, Puig continues to grow as a Home of Creativity: an open-minded space where Creators Of All Kinds are empowered to thrive, innovate and express who they are.

An entrepreneurial, creative and welcoming work culture
A range of learning and development opportunities
An international company with plenty of opportunities to grow
A competitive compensation & benefits package

The Opportunity

Support the design and development of data products, analytics solutions and AI use cases within the Operations domain, contributing hands-on to Data & AI delivery for process, supply, manufacturing or operational contexts. The role is designed as a high-potential early-career position that combines data development, analytics and growing AI exposure, allowing the candidate to evolve into a strong domain builder for operational Data & AI products.

Support the evolution of the Operations Data & AI domain through data and AI solutions.
Contribute to reusable datasets and products for forecasting, automation and process optimization.
Develop understanding of operations processes and business needs.

Delivery & Execution

Build and maintain datasets, pipelines and transformations in cloud environments, mainly BigQuery.
Support the delivery of data products, dashboards and AI solutions.
Prepare data for forecasting, optimization and AI use cases.
Ensure solutions are scalable, reusable and well documented.

Governance & Compliance

Apply data quality, governance, privacy and traceability standards.
Follow architecture, documentation and monitoring requirements.
Support responsible and reliable use of AI solutions.

Stakeholder Management

Collaborate with Operations stakeholders and cross-functional data teams.
Translate business needs into practical data and AI solutions.

Team Contribution

Contribute actively within the domain squad.
Share knowledge and support continuous improvement.
Develop expertise in Data, Analytics and AI for Operations.

REQUIRED EXPERIENCE

1-4 years in Data, Analytics, AI, software development or related areas.
Experience with cloud data platforms, ideally Google Cloud and BigQuery.
Exposure to AI, analytics or machine learning use cases.
Experience in operations, manufacturing or process optimization is a plus.

TECHNICAL SKILLS

Strong SQL and basic to intermediate Python.
Experience with Google Cloud tools, especially BigQuery.
Knowledge of data preparation, transformation and analytics datasets.
Interest in AI, ML and GenAI.
Understanding of data governance, documentation and monitoring.

Data & AI Developer

Empieza con tu correo