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

Master's Degree in Computer Science or a related field. Microsoft Azure 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. 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 We offer: Attractive compensation package aligned with experience & responsibilities Private health insurance plan Employee Assistance Program Versátil working hours and a hybrid working model 23 days of vacation per year Great work environment as part of a collaborative team Continuous internal training and career development opportunities, both nationally and internationally The opportunity to join a company recognized as a

Top Employer 2026

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📌 Data Engineer (Madrid)
🏢 jobr.pro
📍 Madrid