Data Engineer: Databricks & GCP ETL/ELT Expert

AgileEngine, LLC.; Valladolid; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data automation.

You will design, build and optimize data pipelines using PySpark, SQL and Delta Lake, working across Databricks and BigQuery environments. Join a people-first culture with growth opportunities and modern data projects.

Formación

• 5+ years of hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• Hands-on experience with GCP, particularly BigQuery.
• Experience with Delta Lake and modern data lake architectures.
• Strong understanding of ETL/ELT, data pipeline design and data quality checks.

Responsabilidades

• Design, develop and optimize scalable ETL/ELT data pipelines using Databricks, PySpark and SQL.
• Build and operationalize agentic workflows to automate data engineering tasks and workflow execution.
• Integrate agentic capabilities with Databricks, GCP, BigQuery and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements and datasets.
• Create reusable data engineering frameworks and components across data use cases.
• Implement data quality checks, monitoring and production controls.
• Optimize PySpark and SQL workloads for performance and scalability.
• Support testing, deployment and productionization of data solutions.
• Troubleshoot complex data issues and deliver sustainable fixes.

Conocimientos

Databricks

PySpark

SQL

GCP BigQuery

Delta Lake

ETL/ELT

Production-grade

Troubleshooting

Descripción del empleo

AgileEngine, LLC. is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data automation.

You will design, build and optimize data pipelines using PySpark, SQL and Delta Lake, working across Databricks and BigQuery environments. Join a people-first culture with growth opportunities and modern data projects.