Data Engineer: Databricks, GCP & Automation Pipelines

AgileEngine, LLC.; Málaga; Hybrid; EUR 60,000 - 90,000; 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 in Málaga, Spain, to design and productionize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. You will collaborate across teams to automate data workflows, ensure data quality, and optimize performance in GCP, BigQuery, and Delta Lake environments.

The role emphasizes building reusable frameworks, implementing monitoring and production controls, and supporting deployment and ongoing improvements of data and agentic solutions.

Qualifications

• 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/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.

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

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Production data pipelines

Data quality & monitoring

Troubleshooting

Software engineering practices

Tools

BigQuery

Job description

AgileEngine, LLC is seeking a Data Engineer in Málaga, Spain, to design and productionize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. You will collaborate across teams to automate data workflows, ensure data quality, and optimize performance in GCP, BigQuery, and Delta Lake environments.

The role emphasizes building reusable frameworks, implementing monitoring and production controls, and supporting deployment and ongoing improvements of data and agentic solutions.