Senior Data Engineer — Databricks, GCP & Automation

AgileEngine; Barcelona; Hybrid; EUR 80,000 - 134,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines and agentic workflows. You will collaborate with data science, product, and platform teams to automate data engineering tasks and optimize data processing across Databricks, BigQuery, and Delta Lake.

The role emphasizes building reusable data engineering components, implementing data quality checks, and ensuring robust production-support practices with a focus

Qualifications

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on experience with GCP, particularly BigQuery.
• Experience with Delta Lake and data lake architectures.
• Strong understanding of ETL/ELT, data pipelines, performance optimization, and data quality.
• Experience building 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 processes.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines to support new business requirements and datasets.
• Build reusable frameworks and components for multiple data use cases.
• Implement data quality checks, monitoring, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, productionization, and ongoing enhancements.
• Troubleshoot complex data and production issues; implement sustainable solutions.
• Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Skills

Databricks

PySpark

SQL

GCP

BigQuery

Delta Lake

ETL/ELT design

Data quality

Troubleshooting

English

Tools

BigQuery

Delta Lake

Job description

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines and agentic workflows. You will collaborate with data science, product, and platform teams to automate data engineering tasks and optimize data processing across Databricks, BigQuery, and Delta Lake.

The role emphasizes building reusable data engineering components, implementing data quality checks, and ensuring robust production-support practices with a focus