onsite
Data Engineer - KPMG Advisory GmbH
Data Engineer
Lead end‑to‑end data pipeline development, architecting scalable solutions on AWS, and optimizing SQL and Python workflows to deliver actionable insights for enterprise clients.
About the role
Key Responsibilities
- Design, build, and maintain robust data pipelines using Python, SQL, and AWS services (Glue, Redshift, S3).
- Implement data modeling and warehousing strategies to support analytics and reporting.
- Collaborate with data scientists and business stakeholders to translate requirements into technical solutions.
- Ensure data quality, governance, and security across all data assets.
- Optimize performance of ETL processes and troubleshoot production issues.
Requirements
- 3+ years of experience in data engineering or related roles.
- Experience with version control (Git) and CI/CD pipelines.
- Excellent problem‑solving and communication skills.