Data Engineer — Databricks/GCP ETL Automation (Remote)

AgileEngine, LLC.; Wrocław; Hybrid; PLN 435,000 - 593,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and scale ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The role focuses on building reliable, production-grade data solutions, optimizing PySpark and SQL workloads, and ensuring data quality across modern lakehouse architectures.

You will collaborate with cross-functional teams to integrate with Databricks, GCP, BigQuery, and Delta Lake, implement monitoring and

Qualifications

• 5+ years of strong 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 understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience building reliable, scalable, production-grade 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

SQL

GCP

Delta Lake

ETL/ELT

Data quality

Production-grade data solutions

Job description

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and scale ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The role focuses on building reliable, production-grade data solutions, optimizing PySpark and SQL workloads, and ensuring data quality across modern lakehouse architectures.

You will collaborate with cross-functional teams to integrate with Databricks, GCP, BigQuery, and Delta Lake, implement monitoring and