4 publicaciones de empleo destacadas en data science/mlops engineer (¡Están contratando!)

Senior Big Data Engineer
Eurasia Trips Technology —Barcelona, Barcelona provincia
- 64.000 € al año
- Azure
- Informática
- Java
- Seguro médico privado
- Seguro dental
Solicitud rápida
3h
AI Engineer
Grupo Lanit —España
- Jornada completa
- Teletrabajo
- Azure
- Máster
- AWS
- Seguro médico privado
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster

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Senior Big Data Engineer

Eurasia Trips Technology
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Contrato indefinido
64.000 € al año
Hace 3 horas

Beneficios

Seguro médico privado
Seguro dental
Ayuda al desarrollo profesional
Oportunidades de crecimiento y desarrollo profesional
Seguro de vida

Cualificaciones

Azure
Informática
Big data
Spark
Google Cloud Platform
E-commerce
Java
Máster
SQL
AWS
Grado
Machine learning
Scala
ETL
Escalabilidad
Agile
Cloud
Apache
Habilidades de comunicación
Python
Hadoop

Descripción completa del empleo

About Eurasia Trips Technology

Eurasia Trips Technology is a fast-growing TravelTech company dedicated to transforming how travelers discover, plan, and experience destinations worldwide. We leverage data-driven insights, advanced analytics, and modern technology platforms to deliver innovative travel solutions and exceptional customer experiences.

Position Overview

We are seeking a highly skilled Senior Big Data Engineer to join our Analytics and Data Platform team in Barcelona. In this role, you will design, build, and optimize large-scale data processing systems that power business intelligence, customer insights, recommendation engines, and operational analytics across our travel platform.

You will work closely with Data Scientists, Software Engineers, Product Managers, and Business Stakeholders to develop robust data infrastructure that supports millions of travel-related events and transactions.

Key Responsibilities

Design, develop, and maintain scalable big data pipelines and data architectures.
Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data.
Develop real-time and batch processing solutions for travel analytics and reporting.
Implement data quality, governance, monitoring, and reliability standards.
Collaborate with Data Science teams to support machine learning and predictive analytics initiatives.
Optimize database performance, storage solutions, and query execution.
Ensure high availability, scalability, and security of data platforms.
Mentor junior engineers and contribute to engineering best practices.
Participate in architecture reviews and technical decision-making.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
5+ years of experience in Data Engineering or Big Data development.
Strong experience with distributed data processing frameworks such as Apache Spark, Hadoop, or Flink.
Proficiency in Python, Java, or Scala.
Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
Strong knowledge of SQL and data warehousing concepts.
Experience building and managing large-scale data pipelines.
Familiarity with data orchestration tools such as Airflow.
Understanding of data modeling, data governance, and data security principles.
Excellent problem-solving and communication skills.

Preferred Qualifications

Experience in the travel, hospitality, e-commerce, or technology sectors.
Knowledge of machine learning data pipelines and MLOps practices.
Experience with streaming technologies such as Kafka.
Experience working in Agile development environments.
Knowledge of modern analytics platforms and BI tools.

Sueldo: 64.000,00€ al año

Beneficios:

Ayuda al desarrollo profesional
Seguro dental
Seguro de vida
Seguro médico privado

Ubicación del trabajo: Empleo presencial

Solicitud rápida

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