Data Engineer: Databricks & GCP Pipelines & Automation

AgileEngine, LLC.; Wrocław; On-site; PLN 462,000 - 693,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Data Engineer to design and optimize scalable ETL/ELT pipelines using Databricks and PySpark, while productionizing agentic workflows for automatic data engineering tasks.

You will integrate with Databricks, GCP, BigQuery, and Delta Lake environments, build reusable data frameworks, and implement data quality and production controls for reliable, scalable solutions.

Qualifications

• 5+ years of hands-on Databricks and PySpark experience.
• 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 BigQuery

Delta Lake

ETL/ELT

Data pipelines

Data quality

Software engineering practices

Job description

AgileEngine, LLC. is seeking a Data Engineer to design and optimize scalable ETL/ELT pipelines using Databricks and PySpark, while productionizing agentic workflows for automatic data engineering tasks.

You will integrate with Databricks, GCP, BigQuery, and Delta Lake environments, build reusable data frameworks, and implement data quality and production controls for reliable, scalable solutions.