> Markdown version of [/jobs/ext/2755695-ingeniero-de-datos-productos-de-datos-ia-ml-remoto](https://www.wearedevelopers.com/jobs/ext/2755695-ingeniero-de-datos-productos-de-datos-ia-ml-remoto). 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). --- # Ingeniero De Datos - Productos De Datos Ia/Ml (Remoto) - **Company:** Oxigent Technologies - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Airflow, Microsoft Azure, Cloud Computing, Information Engineering, Python (Programming Language), SQL Databases, Apache Spark, Databricks - **Published:** September 6, 2026 - **Apply:** https://www.buscojobs.com.es/ingeniero-de-datos-productos-de-datos-ia-ml-remoto-en-barcelona-ID-369653702 ## About the Role Desarrollarás pipelines de datos, convertirás modelos en productos de datos fiables y colaborarás con equipos internacionales en un entorno híbrido.Se requieren al menos 4 años en Ingeniería de Datos, Python/SQL, y experiencia con Databricks, Spark, Airflow y entornos Cloud (GCP/Azure). ## Description Oxigent Technologies busca un Data Engineer especializado/a en Data Products para liderar la operacionalización de modelos de IA y ML a escala en su Hub Digital, ubicado en Barcelona.Desarrollarás pipelines de datos, convertirás modelos en productos de datos fiables y colaborarás con equipos internacionales en un entorno híbrido.Se requieren al menos 4 años en Ingeniería de Datos, Python/SQL, y experiencia con Databricks, Spark, Airflow y entornos Cloud (GCP/Azure).#J-*****-Ljbffr ## 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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)