Industrial Data Engineer

GEA Germany GmbH; Naas; On-site; EUR 70,000 - 95,000; Full time

Job summary

GEA 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 offers collaboration across Product Owners, Software Developers, Automation Engineers, and Process Experts, enabling AI, predictive maintenance, and asset performance monitoring.

The ideal candidate has 3–7 years of data engineering experience, with Azure/Databricks expertise, and a strong focus on data

Qualifications

• Bachelor's or Master's in CS/Data Science/Engineering required.
• Experience with Azure Databricks and cloud-based data solutions.
• Proficient in time-series data management and data modelling.
• Familiar with Agile/Scrum development practices and IEC 62443 awareness.

Responsibilities

• Design, develop, and maintain scalable data pipelines and analytics platforms.
• Collaborate with Product Owners, Software Developers, and Process Experts.
• Enable AI-driven analytics, predictive maintenance, and operational reporting.
• Ensure data governance, security, and lifecycle management across platforms.

Skills

Azure Databricks

Time-series data

REST APIs

Data Modeling

Agile/Scrum

Education

Bachelor's or Master's in Computer Science/Data Science/Engineering

Tools

Azure Cloud

Databricks

REST APIs

Job description

Responsibilities / 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 / Qualifications

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.

Professional Knowledge & Experience

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.

Skills & Competencies

• 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 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.