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# Industrial Data Engineer

- **Company:** GEA Group
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Databases, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Database Design, JSON, Machine Learning, Meta-Data Management, Scrum Methodology, Query Optimization, Cloud Services, Workflow Management Systems, Working Model 2D, Information Technology, Influxdb, Data Analytics, Api Design, Restful APIs, Industrial Software, Data Pipelines, Databricks
- **Published:** September 26, 2026
- **Apply:** https://www.buscojobs.com.es/industrial-data-engineer-en-alcobendas-ID-372952675

## About the Role

Requisitos principalesMasters Degree in Computer Science or related field
Microsoft Azure Certifications
3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions
Experience developing Azure cloud-based data 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 ***** 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
Microsoft Azure

## Description

OverviewAs 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.Compensaciones / BeneficiosPrivate health insuranceEmployee Assistance ProgramFlexible working hoursHybrid working model23 days of vacationContinuous internal training and career developmentResponsabilidadesDesign, 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.Requisitos principalesMasters Degree in Computer Science or related fieldMicrosoft Azure Certifications3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics SolutionsExperience developing Azure cloud-based data solutionsExperience working with large volumes of time-series and industrial dataData Modelling, Data Governance, Metadata Management, Time-Series Database Design, Query Optimization, Workflow Orchestration, REST APIsProven experience in Agile/ScrumAwareness of IEC ***** standardsDesirable: Machine Learning, AI, and Data Science conceptsFluent English (B2/C1); Spanish or German advantageousStrong communication and collaborationAnalytical problem-solvingAdaptability and continuous learningMicrosoft AzureDatabricksInfluxDB