Data Engineer
New
A
AgileEngineData engineering
Workplace type: remote; Locations: Kraków, Olszańska St, 7, Warszawa, 00-002, Porto, 4000-000, Madrid, 28022, Poznań, 60-001, Kraków, Country code: PLFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- Upper-intermediate English level (B2)
- Experience
- 5+ years of strong hands-on experience with Databricks and PySpark; 5+ years of experience with Databricks and GCP
- Required Skills
- SQLGCPBigQueryDatabricksPySpark
Requirements
- Bring 5+ years of strong hands-on experience with Databricks and PySpark.
- Have advanced SQL and data-processing skills.
- Have hands-on GCP experience, particularly with 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 English level (B2).
- AI agents, agentic workflows, workflow automation, orchestration frameworks, and reusable data engineering frameworks are listed as nice-to-haves.
Responsibilities
- Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
- Build and operationalize agentic workflows for data validation, issue identification, troubleshooting, and workflow execution.
- 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 implement sustainable solutions.
- Collaborate with business, data engineering, and platform teams to identify automation opportunities.
View Full Description & ApplyYou'll be redirected to the employer's site
