> Markdown version of [/jobs/ext/2372282-cloud-data-engineer-databricks-spark-lakehouse](https://www.wearedevelopers.com/jobs/ext/2372282-cloud-data-engineer-databricks-spark-lakehouse). 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). --- # Cloud Data Engineer: Databricks, Spark & Lakehouse - **Company:** Atos SE - **Location:** Valencia, Spain - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Apache HTTP Server, Cloud Computing, Cloud Database, Apache Spark, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.buscojobs.com.es/cloud-data-engineer-databricks-spark-lakehouse-en-valencia-ID-366070124 ## About the Role Se valora experiencia en Lakehouse, gobernanza de datos y metodologías Agile. ## Description Atos es líder europeo en transformación digital y ciberseguridad.Buscamos un Data Engineer con experiencia en entornos Cloud para incorporar a proyectos de transformación digital de gran envergadura.La persona seleccionada diseñará, desarrollará y optimizará plataformas de datos escalables, trabajando con Databricks, Apache Spark, Apache Airflow y Apache Iceberg en entornos complejos y de alta exigencia.Se valora experiencia en Lakehouse, gobernanza de datos y metodologías Agile.#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) - [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) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)