Data Engineer

GEA Group; Alcobendas; Presencial; EUR 55.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free day to volunteer

Descripción de la vacante

GEA Group is seeking an Industrial Data Engineer to design, develop, and maintain scalable data pipelines and analytics platforms for cloud-based applications in the food and beverage sector.

The role involves collaborating with cross-functional teams across Alcobendas (Spain), Naas (Ireland), or Bogota (Colombia) to deliver data-driven solutions, AI-driven analytics, and predictive maintenance capabilities.

Formación

• Bachelor's or Master’s Degree in Computer Science, Data Science, Engineering, or a related field.
• Microsoft Azure or Databricks Certifications.

Responsabilidades

• Design, develop, and maintain data pipelines and analytics platforms.
• Collaborate with Product Owners, Software Developers, Automation Engineers, and Process Experts.
• Integrate data from industrial systems into cloud platforms.
• Develop API-based integrations using REST services and JSON.
• Establish data quality, governance, security, and lifecycle management.

Conocimientos

Data Modelling

Data Governance

Metadata Management

Time-Series DB Design

Query Optimization

Workflow Orchestration

REST APIs

Agile/Scrum

IEC 62443

Spanish/German advantage

Educación

Bachelor's/Master's in CS/Data Science/Engineering

Microsoft Azure Certification

Databricks Certification

Herramientas

Microsoft Azure

Databricks

InfluxDB

Descripción del empleo

Free day to volunteer

Your responsibilities and tasks

The Industrial Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and analytics platforms that support cloud-based digital applications for food and beverage processing plants. Working closely with Product Owners, Software Developers, Automation Engineers, and Process Experts, this role enables advanced analytics, AI solutions, predictive maintenance, asset performance monitoring, and operational reporting.

This position can be based in Alcobendas (Spain), Naas (Ireland) or Bogota (Colombia), depending on the selected candidate.

• Design, develop, and maintain data solutions leveraging Microsoft Azure, Databricks, InfluxDB, Industrial IoT data sources, and modern data engineering practices.
• Design, develop, and maintain ETL/ELT pipelines to support data integration and analytics.
• Design data models, relationships, and schemas that support analytics, reporting, machine learning, and digital products.
• Develop API-based integrations using REST services and JSON.
• Establish standards for data quality, governance, security, and lifecycle management.
• Ensure data architectures are scalable, reliable, and aligned with enterprise standards.
• Support the integration of operational and equipment data from industrial systems into enterprise and cloud platforms.
• Collaborate with cross-functional teams to deliver data-driven solutions and enable business value through analytics and AI.

Your profile and qualifications

Educational Background

• Bachelor's orMaster's Degree in Computer Science, Data Science, Engineering, or a related field.
• Microsoft Azure or Databricks Certifications.

Professional Knowledge & Experience

• 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.
• Strong knowledge of:
  • Data Modelling
  • Data Governance
  • Metadata Management
  • Time-Series Database Design
  • Query Optimization
  • Workflow Orchestration
  • REST APIs
• Proven experience working in Agile/Scrum environments.
• Awareness of IEC 62443 standards.
• Desirable knowledge of Machine Learning, AI, and Data Science concepts, with experience supporting AI-driven analytics solutions.
• Spanish or German would be considered a strong advantage.
• Strong ethics, compliance, and professionalism
• Commitment and alignment with business strategies and policies
• Customer-focused and sustainability-oriented mindset
• Cross-functional and multidisciplinary collaboration
• Excellent communication and networking skills
• Strong listening skills and cultural awareness
• Strong analytical, problem-solving, and decision-making skills
• Continuous improvement mindset and commitment to innovation
• Adaptability and willingness to learn new tools, technologies, and methodologies

About GEA

GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA's success - come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company.

GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.

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GEA is one of the world's largest systems suppliers for the food, beverage and pharmaceutical sectors. Our portfolio includes machinery and plants as well as advanced process technology, components and comprehensive services. Used across diverse industries, they enhance the sustainability and efficiency of production processes globally.

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