Data Engineer: Databricks & GCP Pipelines, Flexible Hours

AgileEngine, LLC.; Województwo pomorskie; On-site; PLN 462,000 - 578,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

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

You will design, develop, and optimize data pipelines using Databricks, PySpark, and SQL, while integrating with Delta Lake environments and modern data lake architectures. Join a people-first culture with Fortune 500 clients and exciting projects.

Qualifications

• 5+ years of Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on GCP, BigQuery experience.
• Delta Lake and modern data lake architectures.
• ETL/ELT design and production-grade data solutions.
• Strong analytical and troubleshooting skills.
• Experience with testing, deployment, 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 tasks.
• Integrate Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop pipelines and processing solutions for new data and datasets.
• Create reusable frameworks and components for data engineering use cases.
• Implement data quality checks, monitoring, and production controls.
• Optimize PySpark and SQL workloads for performance and scalability.
• Support testing, deployment, and productionization of data solutions.
• Troubleshoot complex data issues and deliver sustainable fixes.
• Collaborate with business, data, and platform teams to identify automations.

Skills

Databricks

PySpark

SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Data pipelines

Data quality

Production-grade data

Tools

None

Job description

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

You will design, develop, and optimize data pipelines using Databricks, PySpark, and SQL, while integrating with Delta Lake environments and modern data lake architectures. Join a people-first culture with Fortune 500 clients and exciting projects.