Senior Data Engineer, AWS Cloud Analytics & ETL Excellence

Capgemini; Województwo pomorskie; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Yearly financial bonus

Private medical care (Medicover) with

Life insurance

NAIS benefit platform

Job summary

Capgemini Poland is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes in AWS. You will work with S3, Glue, Lambda, EMR, Redshift, and Athena within a collaborative Insights & Data team.

You’ll partner with architects to ensure data quality, governance, and secure cloud solutions, applying Python for automation and handling large datasets while collaborating across a global technology platform.

Qualifications

• Experience delivering complex data engineering tasks independently.
• Cloud-based data pipelines experience is essential.
• Proficiency with AWS Data & Analytics services.
• Strong Python skills for ETL/ELT processing, automation and data integration.
• Ability to work with large datasets and optimize performance.
• Experience with Azure or GCP is a plus.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes in AWS.
• Use AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and other analytics components.
• Build and optimize distributed data processing workflows and large-scale data ingestion frameworks.
• Collaborate with solution architects and engineering teams to create scalable, reliable data solutions.
• Ensure data quality, governance, and compliance across cloud environments.
• Participate in code reviews and improve engineering standards and practices.
• Create and maintain technical documentation for data pipelines and architecture.

Skills

Python

ETL/ELT

Data pipelines

Cloud experience

English

Tools

AWS

Azure

GCP

Job description

Capgemini Poland is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes in AWS. You will work with S3, Glue, Lambda, EMR, Redshift, and Athena within a collaborative Insights & Data team.

You’ll partner with architects to ensure data quality, governance, and secure cloud solutions, applying Python for automation and handling large datasets while collaborating across a global technology platform.