Data Engineer — Databricks & GCP Pipelines

AgileEngine, LLC.; Warszawa; On-site; PLN 120,000 - 190,000; 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 build scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design, develop, and optimize data pipelines using PySpark, SQL, and Delta Lake, integrating with existing Databricks and BigQuery environments while ensuring data quality and production readiness.

Qualifications

• 5+ years of hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• Experience with GCP, especially BigQuery.
• Experience with Delta Lake and modern data lake/lakehouse architectures.
• Strong ETL/ELT design and data quality practices.
• Experience building reliable, scalable, production-grade data solutions.
• Strong analytical and troubleshooting skills.
• Understanding of software engineering practices (testing, CI/CD, deployment, monitoring).

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

Advanced SQL

GCP (BigQuery)

Delta Lake

ETL/ELT design

Data quality

Production-grade data solutions

Troubleshooting

Testing & deployment

Monitoring & operations

Version control

Tools

BigQuery

Delta Lake

Job description

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

You will design, develop, and optimize data pipelines using PySpark, SQL, and Delta Lake, integrating with existing Databricks and BigQuery environments while ensuring data quality and production readiness.