Ingeniero de Datos: Databricks, PySpark & GCP | Horarios flexibles

AgileEngine, LLC.; Zaragoza; Hybrid; EUR 55,000 - 95,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines and agentic workflows. You will work across Databricks, GCP, BigQuery, and Delta Lake environments to enable data-driven decisions.

The role focuses on building reusable frameworks, ensuring data quality, and optimizing PySpark/SQL workloads for performance and reliability. Hybrid work options available.

Qualifications

• 5+ years with Databricks and PySpark in data-engineering roles.
• Strong SQL skills and data-processing expertise.
• Hands-on GCP experience, especially BigQuery.
• Experience with Delta Lake and modern lakehouse architectures.
• Proven ability to design reliable, scalable ETL/ELT pipelines.
• Focus on data quality, validation, monitoring, and production controls.
• Experience building production-grade data solutions and troubleshooting.

Responsibilities

• Design, develop, and optimize scalable ETL/ELT pipelines with Databricks and PySpark.
• Build and operationalize agentic workflows to automate data processing and validation.
• Integrate with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop pipelines to support new datasets and business needs.
• Create reusable data-engineering frameworks and components.
• Implement data quality checks, monitoring, and production controls.
• Optimize workloads for performance, reliability, and scale.
• Support testing, deployment, and ongoing improvements; troubleshoot issues.

Skills

Databricks experience

PySpark

Advanced SQL

ETL/ELT design

GCP data tools

Data quality & testing

Productionising data pipelines

Tools

Databricks

PySpark

BigQuery

Delta Lake

Job description

AgileEngine, LLC. is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines and agentic workflows. You will work across Databricks, GCP, BigQuery, and Delta Lake environments to enable data-driven decisions.

The role focuses on building reusable frameworks, ensuring data quality, and optimizing PySpark/SQL workloads for performance and reliability. Hybrid work options available.