> Markdown version of [/jobs/ext/2856385-data-scientist](https://www.wearedevelopers.com/jobs/ext/2856385-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Asenium - **Location:** Spain - **Salary:** €62,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, Computer Engineering, Information Engineering, Python (Programming Language), Machine Learning, Google Cloud, Delivery Pipeline, Apache Spark, Git, Kubernetes, Machine Learning Operations, Docker, Microservices - **Published:** September 12, 2026 - **Apply:** https://eurojobs.com/jobs/27028026/apply ## About the Role * Disponibilidad: Inmediata * Experiencia: +3 años en MLOps, Machine Learning o Data Engineering. * Formación: Grado en Ingeniería Informática, Telecomunicaciones, Matemáticas u otra titulación STEM. * +3 años de conocimiento + experiencia con la plataforma Stratio (configuración, administración y optimización de sus principales componentes). * Experiencia en Python aplicado a Machine Learning o Data Engineering. * Experiencia desplegando y monitorizando modelos de Machine Learning en producción. * Experiencia con Docker, Kubernetes, Git, MLflow y pipelines CI/CD. * Conocimientos de AWS, Azure o GCP. * Experiencia en monitorización de modelos, retraining y gestión del model drift. * Se valorará experiencia con Kubeflow, Airflow, Spark, microservicios y APIs de inferencia. ## Description Estamos incorporando un/a MLOps Engineer para un proyecto de larga duración, con inicio inmediato y posibilidad de continuidad. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)