<p style="text-align:inherit;"></p><p style="text-align:left;"><b>Responsibilities / Tasks</b></p><div><p>The<b> Industrial Data Engineer </b>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.</p><p></p><p>This position can be based in <b>Alcobendas (Spain), Naas (Ireland) or Bogota (Colombia),</b> depending on the selected candidate.</p><ul><li>Design, develop, and maintain data solutions leveraging <b>Microsoft Azure, Databricks, InfluxDB, Industrial IoT data sources</b>, and modern data engineering practices.</li><li>Design, develop, and maintain <b>ETL/ELT pipelines</b> to support data integration and analytics.</li><li>Design data models, relationships, and schemas that support analytics, reporting, machine learning, and digital products.</li><li>Develop API-based integrations using <b>REST services and JSON</b>.</li><li>Establish standards for <b>data quality, governance, security, and lifecycle management</b>.</li><li>Ensure data architectures are scalable, reliable, and aligned with enterprise standards.</li><li>Support the integration of operational and equipment data from industrial systems into enterprise and cloud platforms.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions and enable business value through analytics and AI.</li></ul></div><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Your Profile / Qualifications</b></p><div><h3><b>Educational Background</b></h3><ul><li>Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Microsoft Azure or Databricks Certifications.</li></ul><p></p><h3><b>Professional Knowledge &amp; Experience</b></h3><ul><li><b>3-7 years of experience</b> in Data Engineering, Cloud Data Platforms, or Analytics Solutions.</li><li>Experience developing <b>Azure cloud-based data solutions</b>.</li><li>Experience working with large volumes of <b>time-series and industrial data</b>.</li><li>Strong knowledge of:<ul><li>Data Modelling</li><li>Data Governance</li><li>Metadata Management</li><li>Time-Series Database Design</li><li>Query Optimization</li><li>Workflow Orchestration</li><li>REST APIs</li></ul></li><li>Proven experience working in <b>Agile/Scrum environments</b>.</li><li>Awareness of <b>IEC 62443</b> standards.</li><li>Desirable knowledge of <b>Machine Learning, AI, and Data Science concepts</b>, with experience supporting AI-driven analytics solutions.</li><li><b>Fluent English (B2/C1) required.</b></li><li><b>Spanish or German would be considered a strong advantage.</b></li></ul><p></p><h2><b>Skills &amp; Competencies</b></h2><ul><li>Strong ethics, compliance, and professionalism</li><li><span> </span>Commitment and alignment with business strategies and policies</li><li>Customer-focused and sustainability-oriented mindset</li><li>Cross-functional and multidisciplinary collaboration</li><li>Excellent communication and networking skills</li><li>Strong listening skills and cultural awareness</li><li>Strong analytical, problem-solving, and decision-making skills</li><li>Continuous improvement mindset and commitment to innovation</li><li>Adaptability and willingness to learn new tools, technologies, and methodologies</li></ul></div><p style="text-align:inherit;"></p><p style="text-align:left;"><span><b>Did we spark your interest?</b><br>Then please click apply above to access our guided application process.</span></p>

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<div id="ember59" class="ember-view organization-about-module__content-consistant-cards-description"><span class="lt-line-clamp__raw-line">GEA is one of the largest technology suppliers for food processing and a wide range of other industries. The global group specializes in machinery, plants, as well as process technology and components. GEA provides sustainable solutions for sophisticated production processes in diverse end-user markets and offers a comprehensive service portfolio.</span></div>
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Industrial Data Engineer

<p></p><p><b>Responsibilities / Tasks</b></p><div><p>The<b> Industrial Data Engineer </b>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.</p><p></p><p>This position can be based in <b>Alcobendas (Spain), Naas (Ireland) or Bogota (Colombia),</b> depending on the selected candidate.</p><ul><li>Design, develop, and maintain data solutions leveraging <b>Microsoft Azure, Databricks, InfluxDB, Industrial IoT data sources</b>, and modern data engineering practices.</li><li>Design, develop, and maintain <b>ETL/ELT pipelines</b> to support data integration and analytics.</li><li>Design data models, relationships, and schemas that support analytics, reporting, machine learning, and digital products.</li><li>Develop API-based integrations using <b>REST services and JSON</b>.</li><li>Establish standards for <b>data quality, governance, security, and lifecycle management</b>.</li><li>Ensure data architectures are scalable, reliable, and aligned with enterprise standards.</li><li>Support the integration of operational and equipment data from industrial systems into enterprise and cloud platforms.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions and enable business value through analytics and AI.</li></ul></div><p></p><p><b>Your Profile / Qualifications</b></p><div><h3><b>Educational Background</b></h3><ul><li>Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Microsoft Azure or Databricks Certifications.</li></ul><p></p><h3><b>Professional Knowledge &amp; Experience</b></h3><ul><li><b>3-7 years of experience</b> in Data Engineering, Cloud Data Platforms, or Analytics Solutions.</li><li>Experience developing <b>Azure cloud-based data solutions</b>.</li><li>Experience working with large volumes of <b>time-series and industrial data</b>.</li><li>Strong knowledge of:<ul><li>Data Modelling</li><li>Data Governance</li><li>Metadata Management</li><li>Time-Series Database Design</li><li>Query Optimization</li><li>Workflow Orchestration</li><li>REST APIs</li></ul></li><li>Proven experience working in <b>Agile/Scrum environments</b>.</li><li>Awareness of <b>IEC 62443</b> standards.</li><li>Desirable knowledge of <b>Machine Learning, AI, and Data Science concepts</b>, with experience supporting AI-driven analytics solutions.</li><li><b>Fluent English (B2/C1) required.</b></li><li><b>Spanish or German would be considered a strong advantage.</b></li></ul><p></p><h2><b>Skills &amp; Competencies</b></h2><ul><li>Strong ethics, compliance, and professionalism</li><li><span> </span>Commitment and alignment with business strategies and policies</li><li>Customer-focused and sustainability-oriented mindset</li><li>Cross-functional and multidisciplinary collaboration</li><li>Excellent communication and networking skills</li><li>Strong listening skills and cultural awareness</li><li>Strong analytical, problem-solving, and decision-making skills</li><li>Continuous improvement mindset and commitment to innovation</li><li>Adaptability and willingness to learn new tools, technologies, and methodologies</li></ul></div><p></p><p><span><b>Did we spark your interest?</b><br />Then please click apply above to access our guided application process.</span></p>

Industrial Data Engineer

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GEA

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