Industrial Data Engineer: IoT, AI-Ready Analytics

Gea Group

Alcobendas

Presencial

EUR 50.000 - 70.000

Jornada completa

Hace 11 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Private health insurance
Employee Assistance Program
23 days of vacation
Continuous internal training and 1ear

Descripción de la vacante

Gea Group is seeking a skilled Data Engineer to design and maintain scalable data pipelines and databases, focusing on cloud-based solutions for the food and beverage industry. This position involves collaborating with various teams to enhance data quality and analytics capabilities.

The ideal candidate will have a Master's degree and 3-7 years of experience in Data Engineering. You will work with advanced technologies and have opportunities for continuous development in a cross-functional

Formación

  • 3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions.
  • Experience working with large volumes of time-series and industrial data.
  • Fluent English (B2/C1); Spanish or German advantageous.

Responsabilidades

  • Design, develop, and maintain data solutions using Azure, Databricks, and industrial IoT data sources.
  • Build and maintain ETL/ELT pipelines for data integration and analytics.
  • Collaborate with cross-functional teams to deliver data-driven solutions and AI-enabled value.

Conocimientos

Data Modelling
Data Governance
Metadata Management
Time-Series Database Design
REST APIs
Analogical problem-solving
Databricks
Agile/Scrum
Machine Learning
AI

Educación

Master's Degree in Computer Science or related field

Herramientas

Azure
Databricks
InfluxDB

Descripción del empleo

Gea Group is seeking a skilled Data Engineer to design and maintain scalable data pipelines and databases, focusing on cloud-based solutions for the food and beverage industry. This position involves collaborating with various teams to enhance data quality and analytics capabilities.

The ideal candidate will have a Master's degree and 3-7 years of experience in Data Engineering. You will work with advanced technologies and have opportunities for continuous development in a cross-functional

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