Data Engineer: Databricks + GCP | Remote & Flexible

AgileEngine, LLC.; Madrid; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is hiring a Data Engineer to design, build, and scale ETL/ELT pipelines using Databricks and PySpark. You will productionize agentic workflows and integrate with GCP, BigQuery, and Delta Lake in a data-driven environment.

The role requires 5+ years in Databricks/PySpark, advanced SQL, and strong data engineering fundamentals. English level is upper-intermediate; remote-friendly with a hybrid setup in Madrid offices.

Qualifications

• 5+ years hands-on experience with Databricks and PySpark
• Advanced SQL and data-processing skills
• Hands-on with GCP, particularly BigQuery
• Experience with Delta Lake and modern data lake architectures
• Strong ETL/ELT, data pipeline design, and data quality
• Production-grade data solutions development experience
• Strong analytical and troubleshooting skills
• Understanding of software engineering practices including testing, version control, deployment, monitoring
• Upper-intermediate English level

Responsibilities

• 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 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.

Skills

Databricks

PySpark

SQL

BigQuery

Delta Lake

ETL/ELT

Data pipelines

Performance tuning

Data quality

Production support

Testing & VCS

Tools

Databricks

BigQuery

Delta Lake

Job description

AgileEngine is hiring a Data Engineer to design, build, and scale ETL/ELT pipelines using Databricks and PySpark. You will productionize agentic workflows and integrate with GCP, BigQuery, and Delta Lake in a data-driven environment.

The role requires 5+ years in Databricks/PySpark, advanced SQL, and strong data engineering fundamentals. English level is upper-intermediate; remote-friendly with a hybrid setup in Madrid offices.