Puig Data Engineer
- Employment
- Permanent
- Seniority
- Mid-Level
- Department
- IT & Technology Systems
- Posted
- Aug 18, 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 Data Engineer in Barcelona to design and operate enterprise data infrastructure on Google Cloud Platform, BigQuery and cloud-native data pipelines.
Role & Responsibilities
- Contribute to the evolution of the enterprise data platform and data engineering standards, including reusable patterns for ingestion, transformation, orchestration and monitoring
- Design, build and maintain scalable data pipelines and data processing workflows using Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Run, Dataflow, Dataproc and Cloud Composer
- Develop BigQuery data models, curated datasets and reusable data layers optimized for analytics and AI consumption
- Create automated ETL/ELT processes to ingest, clean, enrich and transform data from multiple enterprise and third-party sources
- Implement batch, near-real-time and event-driven data flows, ensuring performance, reliability and operational resilience
- Collaborate with AI Engineering teams to create AI-ready datasets, feature-ready structures and reliable data foundations for ML and GenAI use cases
- Apply data governance standards for data quality, lineage, metadata, cataloging, documentation and traceability
- Implement security and privacy controls including access management, encryption, role-based access and secure data sharing practices
- Ensure pipelines and datasets comply with internal governance, GDPR and data protection requirements
- Maintain documentation of data workflows, architectures, data models, dependencies and operational procedures
- Partner with Data & AI Tech Factory squads and data-consuming teams to understand requirements and translate them into scalable technical solutions
- Act as a strong individual contributor and share engineering standards, patterns and good practices with peers
Qualifications
- 3-6 years of experience in data engineering, analytics engineering, cloud data engineering or enterprise data platform roles
- Proven hands-on experience building scalable data solutions on Google Cloud Platform, especially with BigQuery
- Experience designing and operating ETL/ELT pipelines, data models, data warehouses or lakehouse-style architectures
- Experience with data governance, data quality, metadata, lineage or secure data access practices
- Experience supporting analytics and AI use cases through trusted datasets and production-grade data flows
Skills
Experience
3-6 years of experience in data engineering, analytics engineering, cloud data engineering or enterprise data platform roles. Proven hands-on experience building scalable data solutions on Google Cloud Platform. Experience integrating cloud systems with on-premise or third-party data sources is valued.
Workplace
The role is situated in Barcelona, Catalonia, Spain.
Benefits
An entrepreneurial, creative and welcoming work culture; a range of learning and development opportunities; an international company with opportunities for growth; 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 «Cloud Data Engineer», «Data Platform Engineer», «Analytics Engineer», «ETL Engineer», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.