Data Engineer: Remote & Flexible Hours, Databricks Expert

AgileEngine; Sevilla; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Professional growth

Competitive pay (USD-based)

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design, build, and productionize scalable ETL/ELT pipelines and agentic workflows. You will integrate with Databricks, BigQuery, Delta Lake, and other data platforms to support data-driven initiatives.

You will design reusable components, ensure data quality, and optimize workloads while collaborating with cross-functional teams to drive automation and reliability across data processes.

Qualifications

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Experience with GCP, especially BigQuery.
• Delta Lake and modern data lake architectures.
• ETL/ELT design and data pipeline optimization.
• Production-grade data solutions development and operations.
• Strong analytical and troubleshooting abilities.
• Knowledge of testing, version control, deployment, monitoring, and production support.
• Upper-intermediate English proficiency.

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 for new business requirements.
• Create reusable data engineering frameworks and platform components.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, productionization, and enhancement of data/agentic solutions.
• Troubleshoot complex data and production issues and implement sustainable fixes.
• Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Skills

Databricks

PySpark

SQL

BigQuery

Delta Lake

ETL/ELT design

Data pipelines

Production-grade

Data quality

English (Upper-Intermediate)

Software engineering practices

Tools

Databricks

Job description

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design, build, and productionize scalable ETL/ELT pipelines and agentic workflows. You will integrate with Databricks, BigQuery, Delta Lake, and other data platforms to support data-driven initiatives.

You will design reusable components, ensure data quality, and optimize workloads while collaborating with cross-functional teams to drive automation and reliability across data processes.