Operations Data & AI Engineer for Process Optimization

Puig SL; Bellprat; Presencial; EUR 38.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning & development

International company

Competitive compensation

Descripción de la vacante

Puig SL is seeking a data & AI‑focused early‑career professional to support the design and delivery of data products within Operations. You will work on datasets, dashboards and AI use cases in a cloud environment, primarily BigQuery, collaborating with cross‑functional teams to translate business needs into practical data solutions.

You'll gain exposure to forecasting, automation and process optimization while developing expertise in data governance, documentation and monitoring for scalable,

Formación

• 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.

Responsabilidades

• Support the evolution of the Operations Data & AI domain through data and AI solutions.
• 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.

Conocimientos

SQL

Python

Google Cloud

Data preparation

AI/GenAI

Educación

Bachelor's degree in CS/Engineering/Math/IS

Herramientas

BigQuery

Google Cloud

Descripción del empleo

Puig SL is seeking a data & AI‑focused early‑career professional to support the design and delivery of data products within Operations. You will work on datasets, dashboards and AI use cases in a cloud environment, primarily BigQuery, collaborating with cross‑functional teams to translate business needs into practical data solutions.

You'll gain exposure to forecasting, automation and process optimization while developing expertise in data governance, documentation and monitoring for scalable,