Data Engineer

Tamarind Intelligence; Alcobendas; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Employee Assistance Program

Hybrid work model

23 days vacation per year

Career development opportunities

Top Employer 2026

Descripción de la vacante

Tamarind Intelligence is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and analytics platforms powering cloud-based applications for industrial environments.

The role collaborates with Product Owners, Software Developers, Automation Engineers, and Process Experts to enable advanced analytics, AI, predictive maintenance, asset performance monitoring, and operational reporting.

Formación

• Master's degree in Computer Science or a related field.
• 3–7 years of Data Engineering, Cloud Data Platforms, or Analytics experience.
• Experience with large volumes of time-series and industrial data.
• Strong knowledge of data governance, metadata management, and time-series databases.
• Familiarity with Agile/Scrum and IEC 62443 standards.

Responsabilidades

• Design, develop, and maintain data solutions using Azure, Databricks, InfluxDB and industrial IoT data sources.
• Build ETL/ELT pipelines for data integration and analytics.
• Model data schemas to support analytics, reporting, ML, and digital products.
• Develop API-based integrations using REST services and JSON.
• Establish data quality, governance, security, and lifecycle standards.
• Ensure scalable and reliable data architectures aligned with enterprise standards.
• Integrate operational and equipment data into enterprise and cloud platforms.
• Collaborate with cross-functional teams to deliver data-driven solutions and AI-enabled value.

Conocimientos

Azure

Databricks

InfluxDB

Time-series data

REST APIs

Data governance

Metadata management

Workflow orchestration

Educación

Master's Degree in Computer Science

Herramientas

REST APIs

Datapipelines

Descripción del empleo

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.

Professional Knowledge & Experience

3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions.

Experience working with large volumes of time-series and industrial data.

Strong knowledge of:

• 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.

Spanish or German would be considered a strong advantage.

• 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