Puig Data & AI Developer
- Employment
- Full-Time
- Seniority
- Entry-Level
- Department
- IT & Technology Systems
- Posted
- Aug 31, 2026
About Puig
Puig is a distinguished name in the luxury fashion and fragrance industry, renowned for its innovative approach and commitment to excellence. As part of a global conglomerate, Puig offers a dynamic and inspiring work environment, fostering creativity and professional growth.
Puig seeks a Data & AI Developer in Barcelona for Operations domain data products, dashboards, and AI solutions. Early-career, permanent role.
Role & Responsibilities
- Support the evolution of the Operations Data & AI domain through data and AI solutions, contributing to reusable datasets and products for forecasting, automation and process optimization
- Build and maintain datasets, pipelines, and transformations in cloud environments, primarily BigQuery, ensuring solutions are scalable, reusable and well-documented
- Support the delivery of data products, dashboards, and AI solutions; prepare data for forecasting, optimization, and AI use cases
- Apply data quality, governance, privacy, and traceability standards; follow architecture, documentation, and monitoring requirements to support responsible and reliable AI solutions
- Collaborate with Operations stakeholders and cross-functional data teams to translate business needs into practical data and AI solutions
- Contribute actively within the domain squad, sharing knowledge and supporting continuous improvement while developing expertise in Data, Analytics, and AI for Operations
Qualifications
- 1–4 years of professional experience 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
- Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or related fields
- Strong SQL and basic to intermediate Python proficiency
- Knowledge of data preparation, transformation, and analytics datasets
- Understanding of data governance, documentation, and monitoring best practices
Skills
Experience
1–4 years in Data, Analytics, AI, software development, or related areas. Experience with cloud data platforms, ideally Google Cloud and BigQuery, is required. Exposure to AI, analytics, or machine learning use cases is expected. Experience in operations, manufacturing, or process optimization is advantageous.
Education
Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or related fields. Google Cloud, Data, or AI certifications are valued. Additional training in analytics, AI, Python, or cloud technologies is preferred.
Workplace
The role is situated in Barcelona, Catalonia, Spain.
Benefits
Entrepreneurial and creative work culture; range of learning and development opportunities; international company with significant growth prospects; competitive compensation and benefits package.
Culture
Puig fosters an inclusive and collaborative culture, encouraging innovation and creativity. Employees are valued for their unique contributions and are provided with opportunities for professional development in a supportive environment.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Puig, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Analytics Developer», «Data Engineer», «AI Solutions Developer», «Data Platform Developer», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.