Data Engineer - Databricks & GCP, Flexible Hybrid

AgileEngine, LLC.; Lublin; On-site; PLN 469,000 - 704,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

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 for data engineering automation.

You will collaborate with business, data engineering, and platform teams to optimize PySpark and SQL workloads, integrate with BigQuery and Delta Lake, and develop reusable data engineering frameworks for multiple use cases.

Qualifications

• 5+ years 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 ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience building reliable, scalable 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

Advanced SQL

GCP (BigQuery)

Delta Lake

ETL/ELT design

Production-grade data solutions

Troubleshooting

Tools

BigQuery

Delta Lake

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 for data engineering automation.

You will collaborate with business, data engineering, and platform teams to optimize PySpark and SQL workloads, integrate with BigQuery and Delta Lake, and develop reusable data engineering frameworks for multiple use cases.