onsite
Senior Data Engineer - Vodafone GmbH
Data Engineer
Lead end‑to‑end data pipeline development, architect scalable solutions on AWS, and drive data quality and governance for enterprise analytics.
About the role
Key Responsibilities
- Design, build, and maintain robust data pipelines using Python, SQL, and Spark on AWS services (Glue, Redshift, S3).
- Collaborate with data scientists and business stakeholders to translate analytical requirements into scalable data models and workflows.
- Implement data quality checks, monitoring, and alerting to ensure high data integrity and availability.
- Optimize performance and cost of data processing jobs through efficient resource management and code refactoring.
- Document architecture, processes, and best practices for data engineering team and cross‑functional partners.
Requirements
- 5+ years of experience in data engineering or related roles.
- Strong proficiency in Python, SQL, and experience with Spark or similar big‑data frameworks.
- Hands‑on experience with AWS data services (Glue, Redshift, Athena, S3).
- Solid understanding of data modeling, ETL design, and data governance principles.
- Excellent problem‑solving skills and ability to work in an agile, collaborative environment.