Operations Data & AI Developer — Cloud & Analytics

PUIG Deutschland GmbH

l'Hospitalet de Llobregat

Presencial

EUR 45.000 - 65.000

Jornada completa

Hace 8 días

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Ventajas ofrecidas por este puesto de trabajo

Learning and development opportunities
International company with growth
Competitive compensation package

Descripción de la vacante

Puig Deutschland GmbH is seeking an early‑career Data & AI professional to design and deliver data products within Operations. You will work hands‑on to develop analytics and AI use cases that support forecasting, automation and process optimization.

You will build datasets and dashboards in cloud environments, mainly BigQuery, and collaborate with cross‑functional teams to ensure scalable, well‑documented solutions that meet business needs.

Formación

  • 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.
  • Knowledge of operations, manufacturing or process optimization is a plus.
  • Strong SQL and basic to intermediate Python.

Responsabilidades

  • 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.
  • Build and maintain datasets, pipelines and transformations in cloud environments.
  • Prepare data for forecasting, optimization and AI use cases.

Conocimientos

SQL
Python
GenAI interest
Data governance

Educación

Bachelor's degree

Herramientas

BigQuery
Google Cloud

Descripción del empleo

Puig Deutschland GmbH is seeking an early‑career Data & AI professional to design and deliver data products within Operations. You will work hands‑on to develop analytics and AI use cases that support forecasting, automation and process optimization.

You will build datasets and dashboards in cloud environments, mainly BigQuery, and collaborate with cross‑functional teams to ensure scalable, well‑documented solutions that meet business needs.

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