Data Engineer: Databricks, GCP & AI Workflows

AgileEngine, LLC.; Portugal; Hybrid; EUR 76,000 - 108,000; 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 with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

Ideal candidates have 2+ years with Databricks and PySpark, advanced SQL, Delta Lake expertise, and a solid grasp of data lake architectures. English at an upper-intermediate level is required; AI agent experience is a plus.

Qualifications

• 2+ 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 pipelines, 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.
• 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 across data engineering and business use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• 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 automation opportunities.

Skills

Databricks

PySpark

SQL

GCP

BigQuery

Delta Lake

ETL/ELT

Data pipelines

Monitoring

Job description

AgileEngine, LLC. is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

Ideal candidates have 2+ years with Databricks and PySpark, advanced SQL, Delta Lake expertise, and a solid grasp of data lake architectures. English at an upper-intermediate level is required; AI agent experience is a plus.