Data Engineer (Databricks & Agentic Automation)

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AgileEngineData engineering

Workplace type: remote; Locations: Kraków, Warszawa, Porto, Madrid, PoznańFull-TimeSenior

Salary not disclosed

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Job Details

Have 5+ years of strong hands-on experience with Databricks and PySpark.
Have advanced SQL and data-processing skills.
Have hands-on experience with GCP, particularly BigQuery.
Have experience with Delta Lake and modern data lake or lakehouse architectures.
Understand ETL/ELT, data pipeline design, performance optimization, and data quality.
Have experience building reliable, scalable, production-grade data solutions.
Bring strong analytical and troubleshooting skills.
Understand software engineering practices, including testing, version control, deployment, monitoring, and production support.
Have an upper-intermediate level of English.
AI agents, agentic workflows, or workflow automation experience is a plus.

Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
Build and operationalize agentic workflows for data engineering and operational automation.
Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
Develop data pipelines and processing solutions for new business requirements and datasets.
Build reusable frameworks and components for 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 collaborate with business, data engineering, and platform teams on automation opportunities.

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