Data Engineer — Databricks & GCP, Flexible Schedule

AgileEngine; Madrid; Hybrid; EUR 107,000 - 161,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

WFH options

Job summary

AgileEngine is looking for 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, build, and optimize data pipelines using Databricks, PySpark, and SQL, integrate BigQuery and Delta Lake, and collaborate across teams to deliver reliable, production-grade data solutions.

Qualifications

• 5+ years 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.
• 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

Data pipelines

Data quality

Troubleshooting

Software engineering practices

English communication

Tools

Databricks

BigQuery

Delta Lake

GCP

Job description

AgileEngine is looking for 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, build, and optimize data pipelines using Databricks, PySpark, and SQL, integrate BigQuery and Delta Lake, and collaborate across teams to deliver reliable, production-grade data solutions.