WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet youABOUT THE ROLEWe are looking for aData Engineerwith strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.WHAT YOU WILL DODesign, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.Develop data pipelines and processing solutions to support new business requirements and datasets.Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.Implement data quality checks, monitoring, validation, exception handling, and production controls.Optimize PySpark and SQL workloads for performance, reliability,



and scalability.Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.Troubleshoot complex data and production issues and implement sustainable solutions.Collaborate with business, data engineering, and platform teams to identify further automation opportunities.MUST HAVES5+ years of strong hands-on experience with Databricks and PySpark .Advanced SQL and data-processing skills .Hands-on experience withGCP, particularly BigQuery .Experience withDelta Lake and modern data lake/lakehouse architectures .Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.Experience building reliable, scalable, production-grade data solutions.Strong analytical and troubleshooting skills.Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.NICE TO

📌 Data Engineer Id89384 (Madrid)
🏢 AgileEngine
📍 Madrid