Data Engineer: Scalable Databricks Pipelines on GCP

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

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

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

You will design, develop, and optimize data pipelines, integrate with Databricks, GCP, BigQuery, and Delta Lake, and build reusable frameworks across data engineering use cases. This role offers flex-time and USD-based compensation.

Qualifications

• 5+ years of hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing capabilities.
• Hands-on experience with GCP, especially BigQuery.
• Experience with Delta Lake and lakehouse architectures.
• Strong ETL/ELT design, performance optimization, and data quality.
• Experience building production-grade data solutions.
• Strong analytical and troubleshooting skills.
• Understanding of software engineering practices (testing, version control, deployment).

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 related 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 multiple data engineering 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

BigQuery

Delta Lake

ETL/ELT design

Data quality

Troubleshooting

Job description

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

You will design, develop, and optimize data pipelines, integrate with Databricks, GCP, BigQuery, and Delta Lake, and build reusable frameworks across data engineering use cases. This role offers flex-time and USD-based compensation.