> Markdown version of [/jobs/ext/1986245-data-engineer](https://www.wearedevelopers.com/jobs/ext/1986245-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** GEA Group
- **Location:** Santiago de Compostela, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Database Design, JSON, Machine Learning, Meta-Data Management, Scrum Methodology, Query Optimization, Cloud Services, Workflow Management Systems, Information Technology, Influxdb, Data Analytics, Performance Monitor, Api Design, Restful APIs, Industrial Software, Data Pipelines, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.buscojobs.com.es/data-engineer-en-santiago-de-compostela-ID-366570105

## About the Role

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 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 ***** 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

## Description

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 / TasksDesign, 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 / QualificationsEducational BackgroundBachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field.Microsoft Azure or Databricks Certifications.Professional Knowledge & Experience3-7 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 ***** 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 & CompetenciesStrong 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 offerAttractive 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 ****#J-*****-Ljbffr


## Related Videos

- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)
- [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)
- [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)