12 publicaciones de empleo destacadas de cloud solution developer (api developer) en madrid, md (¡Están contratando!)

Data Engineer
GEA Group Aktiengesellschaft —Alcobendas, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
13d
Power Platform Architect
Roche —Madrid, Madrid provincia
- Jornada completa
- Microsoft Access
- Azure
- Informática
AI Security Architect
Beam Inc. —Madrid, Madrid provincia
- Español
- Azure
- Grado
AI Platform Engineer (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Team Lead Java Engineer, Retail (f/m/x)
AUTO1 Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Java
- AWS
- Inteligencia artificial
Solicitud rápida
Sales Engineer - Partners & Alliances
Sovos Compliance —Madrid, Madrid provincia
- Oracle
- Ventas
- Sistemas ERP
- Seguro dental
- Seguro de vida
Solicitud rápida
11d
Security Architect
Dentons —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- Inglés
Solicitud rápida
Arquitecto Senior APIs
Kairos Digital Solutions —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
- Habilidades organizativas
- Seguro médico privado
Director, Product Management (BSS/Platform Services)
Vonage —Madrid, Madrid provincia
- Teletrabajo
- CRM software
- Informática
- SQL
- Seguro de vida
Solicitud rápida
Senior Sales Engineer - eComm
Sovos Compliance —Madrid, Madrid provincia
- Oracle
- Ventas
- Sistemas ERP
- Seguro dental
- Seguro de vida
Solicitud rápida
Platform Domain Architect
Sanoma Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Application Security Architect (m/f/d)
Liebherr IT Shared Service Centre Ibérica, S.L. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps

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Data Engineer

GEA Group Aktiengesellschaft -
Alcobendas, Madrid provincia

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Detalles del empleo

Contrato indefinido | Jornada completa
Hace 13 días

Cualificaciones

Español
Azure
Informática
Inglés
Máster
Diseño de base de datos
Grado
Machine learning
REST
Scrum
ETL
Agile
Cloud
JSON
Inteligencia artificial
Alemán

Descripción completa del empleo

Research & Development

Spain, Alcobendas

August 3 2026

Full time

Permanent

Job benefits

Competitive salary and bonus scheme

Continuous personnel development (e-learnings & projects)

Free day to volunteer

About the position

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.

Your responsibilities and 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 and 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 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
Flexible 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

About GEA

GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company.

Why join GEA

GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.

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