Industrial Data Engineer
GEA Germany GmbH · Naas, Ireland ·
- Category
- Data engineering
- Experience
- 3+ years
GEA Germany GmbH · Naas, Ireland ·
Industrial Data Engineer designs, builds, and maintains data pipelines, databases, and analytics platforms on Microsoft Azure, Databricks, and InfluxDB to power analytics, AI, predictive maintenance, and reporting for food and beverage processing plants. Position can be based in Ireland, Spain, or Colombia.
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.
Educational Background Bachelor's or Master'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 developing Azure cloud-based data 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. Fluent English (B2/C1) required. Spanish or German would be considered a strong advantage.
GEA is one of the largest suppliers of process technology for the food industry and a wide range of other industries. The international technology group focuses on process technology and components for sophisticated production processes in various end-user markets.