> Markdown version of [/jobs/ext/2700312-data-engineer-gcp-100-remoto](https://www.wearedevelopers.com/jobs/ext/2700312-data-engineer-gcp-100-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). --- # Data Engineer GCP 100% Remoto - **Company:** knowmad Mood - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, BigQuery, Cloud Storage, Continuous Integration, Github, Apache Hive, Jinja (Template Engine), Python (Programming Language), Cloudera, SQL Databases, YAML, Google Cloud, Apache Spark, Git, Software Version Control, Jenkins - **Published:** September 4, 2026 - **Apply:** https://eurojobs.com/jobs/26107775/apply ## About the Role * Experiencia de al menos 4 años como Data Engineer trabajando con: * Google Cloud Platform (GCP): Conocimiento global de la nube, en especial de las herramientas de Data Engineering. * BigQuery: Nivel avanzado de SQL. Construcción de ETLs, modelado de datos, y optimización de consultas. * Imprescindible: SQL (Avanzado) y Python (Intermedio/Avanzado). * Muy valorable: Spark/scala. * Cloud Storage (GCS): Manejo de buckets, ciclo de vida de los datos e integración fluida con BigQuery. * Orquestación: Creación y manteniendo de flujos de trabajo (DAGs) en Airflow. Conocimiento de YAML y Jinja2 para la generación dinámica de DAGs mediante archivos de configuración. * Control de versiones: Soltura en el uso de GIT, concretamente Github. Apartir, valoraremos mucho si tienes experiencia o conocimientos con: * Ecosistema Big Data Clásico: Conocimiento de Hive y familiaridad con Cloudera CDP. * Procesamiento Distribuido: Nociones de Spark (2.4) y Scala (2.11). Alguien capaz de leer el código antiguo, aplicar mantenimientos básicos y entender la lógica para reescribirla en SQL sobre BigQuery si fuera necesario. * Orquestación con controlM: Conocimiento de controlM a nivel usuario para entender la orquestación de jobs mediante el uso de esta herramienta. * Herramientas de CI/CD: Conocimiento de uso de Jenkins para la generación de artefactos. ## Related Videos - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)