Industrial Data Engineer

Responsibilities / Tasks

The Industrial Data Engineeris 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 inAlcobendas (Spain), Naas (Ireland) or Bogota (Colombia), depending on the selected candidate.

• Design, develop, and maintain data solutions leveragingMicrosoft Azure, Databricks, InfluxDB, Industrial IoT data sources, and modern data engineering practices.
• Design, develop, and maintainETL/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 usingREST services and JSON.
• Establish standards fordata 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 developingAzure cloud-based data solutions.
• Experience working with large volumes oftime-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 inAgile/Scrum environments.
• Awareness ofIEC 62443 standards.
• Desirable knowledge ofMachine 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

Did we spark your interest?
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