Senior Data Engineer - Databricks & GCP | Flexible Hours

AgileEngine; Alicante; Remote; EUR 80,000 - 116,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

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.

Design, build, and optimize pipelines using Databricks, PySpark, and SQL; integrate with Delta Lake, BigQuery, and the broader data platform; ensure data quality and reliability.

You will collaborate with business and platform teams, automate data engineering tasks, and continuously improve performance, monitoring, and production readiness.

Qualifications

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on GCP experience, particularly BigQuery.
• Experience with Delta Lake and modern data lake architectures.
• Strong ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience building reliable, scalable production 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.
• 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 frameworks and components for 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

GCP (BigQuery)

Delta Lake

ETL/ELT

Data quality

Production-grade data solutions

English (upper-intermediate)

Tools

BigQuery

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.

Design, build, and optimize pipelines using Databricks, PySpark, and SQL; integrate with Delta Lake, BigQuery, and the broader data platform; ensure data quality and reliability.

You will collaborate with business and platform teams, automate data engineering tasks, and continuously improve performance, monitoring, and production readiness.