Data Engineer: Databricks, GCP & AI Workflows (Remote)

AgileEngine, LLC.; Szczecin; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. in Szczecin is looking for a Data Engineer to design scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. You will build agentic workflows and integrate with GCP, BigQuery, and Delta Lake in production environments.

Ideal candidates have 5+ years of hands-on Databricks experience, strong SQL, and a track record delivering reliable data solutions with monitoring, testing, and deployment practices. Flexible hybrid work with remote options is available.

Qualifications

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on GCP experience, especially BigQuery.
• Delta Lake and modern lakehouse architectures.
• ETL/ELT design, data pipelines, quality checks.
• Production-grade data solutions delivery.
• Strong analytical and troubleshooting abilities.
• Knowledge of testing, version control, deployment, and monitoring.

Responsibilities

• Design and optimize scalable ETL/ELT pipelines.
• Build agentic workflows to automate data processes.
• Integrate with Databricks, GCP, BigQuery, Delta Lake.
• Develop data pipelines for new datasets.
• Create reusable frameworks and components.
• Implement data quality checks and monitoring.
• Tune PySpark/SQL workloads for performance.
• Support testing, deployment, productionization.
• Troubleshoot complex data and production issues.
• Collaborate with business and platform teams on automation opportunities.

Skills

Databricks

PySpark

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Data quality

Production data

Troubleshooting

DevOps basics

Job description

AgileEngine, LLC. in Szczecin is looking for a Data Engineer to design scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. You will build agentic workflows and integrate with GCP, BigQuery, and Delta Lake in production environments.

Ideal candidates have 5+ years of hands-on Databricks experience, strong SQL, and a track record delivering reliable data solutions with monitoring, testing, and deployment practices. Flexible hybrid work with remote options is available.