Remoto: Trabajo híbrido

The 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.Responsibilities / Tasks 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 ModellingData GovernanceMetadata ManagementTime-Series Database DesignQuery OptimizationWorkflow OrchestrationREST APIsProven 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.Skills & Competencies Strong ethics, compliance, and professionalismCommitment and alignment with business strategies and policiesCustomer-focused and sustainability-oriented mindsetCross-functional and multidisciplinary collaborationExcellent communication and networking skillsStrong listening skills and cultural awarenessStrong analytical, problem-solving, and decision-making skillsContinuous improvement mindset and commitment to innovationAdaptability and willingness to learn new tools, technologies, and methodologiesWe offer Attractive compensation package aligned with experience & responsibilitiesPrivate health insurance planEmployee Assistance ProgramFlexible working hours and a hybrid working model23 days of vacation per yearGreat work environment as part of a collaborative teamContinuous internal training and career development opportunities, both nationally and internationallyThe opportunity to join a company recognized as a Top Employer 2026#J-18808-Ljbffr

📌 Data Engineer (Madrid)
🏢 Gea Group
📍 Madrid