Data Engineer: Databricks/GCP AI Pipelines (Remote)

AgileEngine, LLC.; Granada; Hybrid; EUR 107,000 - 143,000; 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 to design and operationalize scalable ETL/ELT pipelines using Databricks and PySpark, with strong SQL and GCP BigQuery experience. You will build agentic workflows, ensure data quality, and optimize workloads across Databricks, GCP, and Delta Lake environments.

The role emphasizes production-ready data solutions, collaboration with cross-functional teams, and ongoing automation improvements to meet evolving business needs.

Qualifications

• 5+ years of hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• 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.

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

GCP BigQuery

Delta Lake

ETL/ELT

Production-grade

Troubleshooting

DevOps practices

Job description

AgileEngine, LLC. is seeking a Data Engineer to design and operationalize scalable ETL/ELT pipelines using Databricks and PySpark, with strong SQL and GCP BigQuery experience. You will build agentic workflows, ensure data quality, and optimize workloads across Databricks, GCP, and Delta Lake environments.

The role emphasizes production-ready data solutions, collaboration with cross-functional teams, and ongoing automation improvements to meet evolving business needs.