Industrial Data Engineer

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

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