Data Engineer: Databricks/PySpark with Flexible Hours

AgileEngine, LLC.; Szczecin; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime – home and office options

Job summary

AgileEngine 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, build, and optimize data pipelines using Databricks, PySpark, and SQL, integrate with Delta Lake environments, and create reusable data engineering frameworks across multiple use cases. The role emphasizes data quality and production-grade solutions.

Qualifications

• 5+ years of strong hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• GCP experience, particularly BigQuery.
• 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 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 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 systems

Software engineering practices

Tools

Databricks

Delta Lake

BigQuery

Job description

AgileEngine 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, build, and optimize data pipelines using Databricks, PySpark, and SQL, integrate with Delta Lake environments, and create reusable data engineering frameworks across multiple use cases. The role emphasizes data quality and production-grade solutions.