20 publicaciones de empleo destacadas en streaming data engineer (¡Están contratando!)

Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- DevOps
Solicitud rápida
Young Talent Program
Galeo Tech —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Desarrollo de software
- APIs
Solutions Architecture Engineer- Media Systems
OBS & OCS —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- Inglés
- Java
- Vacaciones pagadas
- Teletrabajo opcional
Data Engineer Senior (Informatica Powercenter Cloud)
Babel —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Oracle
- Mantenimiento
- Seguro médico privado
- Seguro de vida
Software Dev Engineer Machine Learning
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- SQL
Assisted Channels - Data Engineer – Cross Platform Analytics
Initiumsoft —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- SQL
Solicitud rápida
14d
Software Engineer
NPAW —Barcelona, Barcelona provincia
- Festivos
- Trabajo híbrido
- Oficina
- Java
- Máster
Data Engineering Manager
Prima —Madrid, Madrid provincia
- Teletrabajo
- SQL
- AWS
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
Software/Data Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Cloud Engineer
Devoteam Spain —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- AWS
- Machine learning
Solicitud rápida
Senior Data Engineer (Fintech)
Merlin Digital Partner —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Inglés
- AWS
Solicitud rápida
10d
Backend Engineer, Madrid
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Bases de datos
Senior Backend Engineer - Data Platforms
Revvity —Madrid, Madrid provincia
- Azure
- Informática
- Java
Frontend Engineer, Madrid
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- JavaScript
- Contratos
QA Automation Engineer (Kafka)
Amaris Consulting —Madrid, Madrid provincia
- Inglés
- Java
- Reclutamiento
11d
AWS Data Engineer (IoT & Data)
Galeo Tech —Madrid, Madrid provincia
- Azure
- Máster
- SQL
Big Data Engineer
SDG Group —Logroño, La Rioja provincia
- Teletrabajo
- Azure
- Informática
- DevOps
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Forward Deployed Engineer
InteractiveAI —Madrid, Madrid provincia
- Jornada completa
- Azure
- Salesforce
- Máster
Solicitud rápida
Senior GEN-AI Engineer (Data & Platform) - EU
Klar —Barcelona, Barcelona provincia
- Teletrabajo
- Informática
- Máster
- Grado
Solicitud rápida
2d
Senior Data Platform Engineer (Databricks)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Español
- Azure
- Oficina
- Vacaciones pagadas
- Programa de recomendación

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Senior Data Engineer - Databricks (m/f/*)

Ultra Tendency
En remoto

Solicitud rápida

Detalles del empleo

Cualificaciones

CI/CD
Español
Optimización del rendimiento
Azure
Ansible
Big data
DevOps
Spark
Inglés
Arquitectura de microservicios
AWS
Machine learning
Scala
Terraform
Unity
GitHub
Cloud
Apache
Python

Descripción completa del empleo

Our Engineering community is growing, and we're now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth.

As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.

WHAT WE OFFER

Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain)
A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
Contribute your ideas to our unique projects and make an impact by turning them into reality
Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup
Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
Individual development plan, professional development opportunities
Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
Local, virtual, and global team events, in which UT colleagues become acquainted with one another

WHAT YOU'LL DO

Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.
Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.
Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.
Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows.
Establish and enforce best practices for data quality, governance, and security within the Databricks environment.
Mentor junior engineers and contribute to the evolution of the team's Databricks expertise.

WHAT YOU'LL BRING

Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.
Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.
Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).
A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.
Professional Spanish & English communication skills (C1-level, written and spoken).

Did we pique your interest, or do you have any questions?

We want to hear from you: contact us at [email protected]

ABOUT US

Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe's largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.

We don't just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.

We thrive on challenges. Here, you'll work on unique projects you won't find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.

Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

Data privacy statement: Data Protection for Applicants – Ultra Tendency

Solicitud rápida

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