Data Engineer — Databricks, PySpark & GCP (Hybrid)

AgileEngine, LLC.; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

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

You will design, implement, and optimize data pipelines using Databricks, PySpark, and SQL; integrate with GCP, BigQuery and Delta Lake; ensure data quality and production readiness for multiple data domains.

Formación

• 5+ years hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• Experience with GCP, particularly BigQuery.
• Experience with Delta Lake and modern data lake 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.

Responsabilidades

• Design, 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.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements and datasets.
• Build reusable data engineering frameworks and components across use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.

Herramientas

Databricks

PySpark

BigQuery

Delta Lake

SQL

Descripción del empleo

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

You will design, implement, and optimize data pipelines using Databricks, PySpark, and SQL; integrate with GCP, BigQuery and Delta Lake; ensure data quality and production readiness for multiple data domains.