15 publicaciones de empleo destacadas en databricks platform engineer (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
6h
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Senior Analyst - Digitalization & Data
Zurich Insurance —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Inglés
- SQL
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
7d
Customer Success Manager
Relevance AI —Barcelona, Barcelona provincia
- Horas extra
- Trabajo híbrido
- Ventas
7d
Head of Data and AI
Abion —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Azure Data Architect
Kenos Technology —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Engineer Wind Farm Data Management (m/f/d)
Nordex SE —Madrid, Madrid provincia
- Informática
- Inglés
- Desarrollo de software
Data Engineer
Plain Concepts —España
- Teletrabajo
- Azure
- Inglés
- Oficina
- Abono gimnasio
Solicitud rápida
Junior Data Engineer - Mobile Apps
leadtech —España
- Horas extra
- Teletrabajo
- Oficina
- Java
- Máster
Solicitud rápida
Machine Learning Engineer
Bask Health —España
- Horas extra
- Teletrabajo
- Azure
- Informática
- Máster
Solicitud rápida
Mid-Level MarTech Specialist
leadtech —España
- Jornada completa
- Teletrabajo
- CRM software
- Español
- Inglés
- Flexibilidad horaria
Solicitud rápida
Remote Hands-On Data Engineering Manager (m/f/d)
RoomPriceGenie —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- Inglés
- Oficina
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
2h

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Data Science cum MLOps, Madrid (on-site) – International Client

The White Team -
Tres Cantos, Madrid provincia

Solicitar ahora

Detalles del empleo

Hace 6 horas

Cualificaciones

TensorFlow
CI/CD
Azure
DevOps
Git
Inglés
Programación orientada a objetos
Machine learning
Scrum
Escalabilidad
Cloud
Python

Descripción completa del empleo

Data Science cum MLOps, Madrid (on-site) – International Client

Job role: Data Science cum MLOps.

Minimum experience: 6 to 8 years.

Studies required: Graduate.

Language: English (C1) (Mandatory).

Location: Madrid (on-site).

DESCRIPTION:

We are looking for a Data Science & MLOps Engineer to join our Advanced Analytics & AI team. This role focuses on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

You will collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end ML pipelines and production-ready AI models. The role requires a strong balance between data science expertise and MLOps practices, ensuring robust, scalable, and maintainable solutions.

The position involves working in Agile/DevOps environments and contributing to innovation initiatives that leverage emerging technologies such as GenAI and cloud platforms (Databricks, Azure).

Tasks:

Design, develop, and deploy machine learning and Generative AI models for advanced analytics use cases.
Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate closely with data scientists, data engineers, and analysts to deliver scalable AI solutions.
Implement and manage MLOps best practices, ensuring model reproducibility, monitoring, and lifecycle management.
Optimize models for performance and scalability in production environments.
Work with tools such as MLflow, Azure Machine Learning, and Azure DevOps for pipeline orchestration and CI/CD.
Drive innovation by expanding AI use cases using emerging technologies such as Generative AI.
Communicate complex analytical concepts to non-technical stakeholders and guide decision-making.
Participate in Agile/Scrum teams, contributing to continuous delivery and iterative product development.
Stay updated on industry trends in AI, MLOps, cloud computing, and data platforms.

Specific Expertise:

Experience: 6–8 years in Machine Learning Engineering or Applied ML, with strong exposure to MLOps.
Programming: Advanced proficiency in Python (OOP) and PySpark.
ML Frameworks: Hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
Cloud & Platforms: Strong experience with Azure Cloud and Databricks.
MLOps & Pipelines: Expertise in building ML pipelines using MLflow, Azure ML, and CI/CD tools (Azure DevOps).
Data & Modeling: Strong knowledge of data preprocessing, feature engineering, model optimization, and evaluation techniques (cross-validation, A/B testing).
Version Control: Experience with Git and collaborative development practices.

Nice to Have:

Knowledge of Generative AI frameworks (e.g., LangChain).
Familiarity with vector databases.
Experience with model monitoring and logging in production.
Understanding of data governance and compliance.
Relevant Databricks or Azure certifications.

Language:

English (C1).

Location:

Madrid (on site).

Rate:

285-304 €/day.

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Refina tu búsqueda

databricks platform engineer empleos

Data Science cum MLOps, Madrid (on-site) – International Client

AI Architect (Agentic AI)

Senior Analyst - Digitalization & Data

Data Actuary - Life & Health

Databricks Resident Solutions Architect (m/f/*)

Customer Success Manager

Head of Data and AI

Azure Data Architect

Engineer Wind Farm Data Management (m/f/d)

Data Engineer

Junior Data Engineer - Mobile Apps

Machine Learning Engineer

Mid-Level MarTech Specialist

Remote Hands-On Data Engineering Manager (m/f/d)

Data Engineering Internship

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