AWS Certified Data Engineer - Build Scalable Analytics Pipelines

Chabre; Warszawa; On-site; PLN 149,000 - 248,000; Full time

Benefits offered by this job

Rate up to 180 PLN/h + VAT

Peripherals subsidy 500 PLN

MacBook Pro or Lenovo Legion 5

Course financing

Job summary

Chabre IT Services is seeking an Analytics / Data Engineer to design fact layer data models, implement data lineage, and build scalable ETL/ELT pipelines to support product margin reporting.

You will collaborate with data architects and stakeholders, ensure data quality and performance across analytics environments, and leverage AWS tools and data cataloging practices to drive governance and insights.

Qualifications

• Must hold AWS Data Engineer Associate or AWS Cloud Practitioner.
• Experience as a Data Engineer or Analytics Engineer.
• Strong SQL and dimensional data modeling.
• Hands-on AWS data processing and storage experience.
• Familiarity with data cataloging tools and governance.

Responsibilities

• Design and implement fact layer data models aligned with enterprise standards.
• Develop and maintain data lineage logic within the data catalog to ensure traceability.
• Integrate and process complex datasets for product-level margin reporting.
• Build, optimize, and maintain scalable ETL/ELT pipelines for BI and analytics.
• Collaborate with data architects and stakeholders to translate reporting requirements into robust solutions.
• Monitor data quality, integrity, and performance across analytical environments.

Skills

SQL

Data integration

Data modeling

Analytics engineering

Troubleshooting

Education

AWS Certified Data Engineer – Associate

AWS Certified Cloud Practitioner

Tools

AWS Cloud

Data cataloging tools

Job description

Chabre IT Services is seeking an Analytics / Data Engineer to design fact layer data models, implement data lineage, and build scalable ETL/ELT pipelines to support product margin reporting.

You will collaborate with data architects and stakeholders, ensure data quality and performance across analytics environments, and leverage AWS tools and data cataloging practices to drive governance and insights.