Data Engineer: Databricks, AI Workflows, Remote

AgileEngine, LLC.

Lublin

Hybrid

PLN 474,000 - 711,000

Full time

3 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime

Job summary

AgileEngine 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.

The role emphasizes building reliable, scalable data solutions, optimizing workloads, and collaborating with cross-functional teams to automate processes using Databricks, PySpark, SQL, and BigQuery.

Qualifications

  • 5+ years hands-on Databricks and PySpark experience.
  • Advanced SQL and data-processing skills.
  • Hands-on with GCP, particularly BigQuery.
  • Experience with Delta Lake and modern data lake 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 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 across 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
Advanced SQL
GCP
BigQuery
Delta Lake
ETL/ELT design
Data quality
Performance optimization
Testing & deployment practices
Monitoring & production support
Troubleshooting

Tools

Databricks
PySpark
BigQuery
Delta Lake

Job description

AgileEngine 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.

The role emphasizes building reliable, scalable data solutions, optimizing workloads, and collaborating with cross-functional teams to automate processes using Databricks, PySpark, SQL, and BigQuery.

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