Data Engineer/ DevOps | Prague | Hybrid

What you'll do

• Design, develop, and maintain ETL pipelines in Python to extract, transform, and load data from multiple source systems
• Implement and optimize data workflows on AWS (Lambda, Glue, S3, Step Functions) with a focus on scalability and cost efficiency
• Build and maintain RESTful endpoints in TypeScript/Node.js for data access, integration, and analytics
• Write and optimize complex SQL queries and PL/SQL functions for data transformation, validation, and reporting
• Implement unit, integration, and regression tests for ETL jobs, APIs, and data transformations
• Monitor, troubleshoot, and improve pipelines — including performance tuning, error handling, and root-cause analysis
• Collaborate with analysts and stakeholders to translate data requirements into technical solutions
• Maintain clear documentation for ETL jobs, APIs, schemas, and data flows
• Follow security best practices and DevOps standards including version control, CI/CD, and environment management

What we're looking for

• Strong hands-on Python experience for ETL and data processing
• Practical knowledge of AWS data services
• Solid TypeScript skills and experience building REST APIs
• Strong SQL and PL/SQL skills, including performance tuning
• Experience with unit/integration testing for code and data pipelines
• Familiarity with Git and CI/CD practices
• Good communication skills and ability to work in cross-functional teams