Cloud Data Engineer: BigQuery, AI-Ready Pipelines

PUIG Deutschland GmbH; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Puig is seeking a Data Engineer to design, build and operate enterprise-grade data infrastructure on Google Cloud Platform. You will focus on BigQuery, data quality, governance, observability and security by design to enable analytics and AI across the organization.

You will contribute to shared data capabilities, collaborate with AI engineering teams and help modernize analytics foundations while maintaining robust documentation and data governance practices.

Formación

• 3-6 years of data engineering or analytics engineering experience.
• Hands-on with Google Cloud Platform and BigQuery.
• Experience designing ETL/ELT pipelines and data models.
• Knowledge of data governance, metadata and secure data access.

Responsabilidades

• Design, build and maintain scalable data pipelines on Google Cloud Platform.
• Develop BigQuery data models and curated datasets for analytics and AI.
• Create automated ETL/ELT processes across multiple sources.
• Implement batch, near-real-time and event-driven data flows.
• Collaborate with AI engineering teams to enable ML/GenAI use cases.
• Maintain data workflow documentation and governance practices.

Conocimientos

Data engineering

BigQuery

ETL/ELT

Cloud platforms

Data governance

Herramientas

Google Cloud Platform

BigQuery

Dataflow

Dataproc

Cloud Composer

Cloud Run

Cloud Functions

Pub/Sub

Descripción del empleo

Puig is seeking a Data Engineer to design, build and operate enterprise-grade data infrastructure on Google Cloud Platform. You will focus on BigQuery, data quality, governance, observability and security by design to enable analytics and AI across the organization.

You will contribute to shared data capabilities, collaborate with AI engineering teams and help modernize analytics foundations while maintaining robust documentation and data governance practices.