Cloud Data Engineer (AWS) — ETL, PySpark & Data Pipelines

Reply; Katowice; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Motivizer Benefits Platform: choose &


Language Courses

Regular training opportunities

Internal community and events

Job summary

Machine Learning Reply seeks a Cloud Data Engineer (AWS) to design, build and maintain modern cloud data platforms in a hybrid setup with regular visits to Katowice. You will collaborate with software and data engineers to transform business requirements into scalable data solutions.

You will design ETL pipelines, manage AWS Glue jobs, and optimize distributed data processing using PySpark, while maintaining documentation and best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
• Experience with AWS cloud services.
• AWS Certification (Associate or Professional preferred).
• Experience as a Data Engineer or ETL Developer.
• Strong proficiency in Python programming.
• Practical experience with PySpark and distributed data processing.
• Hands-on experience with AWS Glue.
• Designing and maintaining ETL pipelines.
• Good understanding of data lakes and data warehouse architectures.
• Experience with Git and CI/CD practices.
• Good written and spoken English and Polish.
• Hybrid work openness with visits to Katowice office every two months.

Responsibilities

• Design and implement cloud-based data processing solutions in AWS.
• Develop and maintain ETL/ELT pipelines.
• Build and optimize data workflows using PySpark.
• Work with AWS Glue jobs and data catalog.
• Monitor, troubleshoot, and improve data pipelines performance.
• Collaborate with teams to translate business requirements into data solutions.
• Maintain documentation and best practices for data platforms.

Skills

Python programming

PySpark

AWS cloud services

ETL development

Data processing

Git

CI/CD

English language

Polish language

Education

Bachelor's or Master's in CS/IT

Tools

AWS Glue

Data catalog

Job description

Machine Learning Reply seeks a Cloud Data Engineer (AWS) to design, build and maintain modern cloud data platforms in a hybrid setup with regular visits to Katowice. You will collaborate with software and data engineers to transform business requirements into scalable data solutions.

You will design ETL pipelines, manage AWS Glue jobs, and optimize distributed data processing using PySpark, while maintaining documentation and best practices.