Industrial Data Engineer - Alcobendas

Gea Group; Alcobendas; Presencial; EUR 50.000 - 70.000; Jornada completa

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

As a Data Engineer, you design and maintain scalable data pipelines, databases, and analytics platforms to support cloud-based digital applications in food and beverage processing. You will collaborate with product and process teams to enable advanced analytics, AI solutions, and predictive maintenance. Based in Alcobendas, Naas, or Bogota, you help scale data architectures and ensure data quality, governance, and security. This role offers cross-functional impact and opportunities to work with cutting-edge cloud and IoT data technologies.

• Private health insurance
• Employee Assistance Program
• 23 days of vacation
• Continuous internal training and career development
• Design, develop, and maintain data solutions using Azure, Databricks, InfluxDB and industrial IoT data sources.
• Build and maintain ETL/ELT pipelines for data integration and analytics.
• Create data models, relationships, and schemas supporting analytics, ML, and digital products.
• Develop API-based integrations using REST and JSON.
• Establish data quality, governance, security, and lifecycle standards.
• Ensure scalable, reliable architectures aligned with enterprise standards.
• Ingest operational and equipment data from industrial systems into cloud platforms.
• Collaborate with cross-functional teams to deliver data-driven solutions and AI-enabled value.
• Master's Degree in Computer Science or related field
• 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
• Data Modelling, Data Governance, Metadata Management, Time-Series Database Design, Query Optimization, Workflow Orchestration, REST APIs
• Proven experience in Agile/Scrum
• Awareness of IEC 62443 standards
• Desirable: Machine Learning, AI, and Data Science concepts
• Fluent English (B2/C1); Spanish or German advantageous
• Strong communication and collaboration
• Analytical problem-solving
• Adaptability and continuous learning
• Databricks