Data Engineer: Databricks + GCP Pipelines & AI Workflows

AgileEngine, LLC.; Poznań; Hybrid; PLN 356,000 - 553,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC in Poznań 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 and build data pipelines using Databricks, PySpark, SQL, and BigQuery, implement data quality checks, and collaborate across teams to automate data processes. This role offers flexible work options and exposure to modern data lakehouse architectures.

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 data solutions.
• Strong analytical and troubleshooting skills.
• Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.
• Upper-intermediate English level.

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 experience

PySpark

Advanced SQL

GCP BigQuery

Delta Lake / data lakehouse

ETL/ELT design

Production-grade data solutions

Software engineering practices

English communication

Tools

Databricks

BigQuery

Git / version control

Orchestration frameworks

Job description

AgileEngine, LLC in Poznań 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 and build data pipelines using Databricks, PySpark, SQL, and BigQuery, implement data quality checks, and collaborate across teams to automate data processes. This role offers flexible work options and exposure to modern data lakehouse architectures.