onsite
Senior Data Engineer - nu people GmbH
Data Engineer
Lead end‑to‑end data pipeline development using Python, SQL, and Spark on AWS, driving scalable analytics solutions and data quality for enterprise customers.
About the role
Key Responsibilities
- Design, build, and maintain large‑scale data pipelines and ETL processes using Python, Spark, and SQL.
- Architect and optimize data storage solutions on AWS (Redshift, S3, Glue, Athena) to support real‑time and batch analytics.
- Collaborate with data scientists and product teams to translate business requirements into robust data models and dashboards.
- Implement data quality checks, monitoring, and alerting to ensure reliability and compliance.
- Mentor junior engineers, conduct code reviews, and promote best practices in data engineering.
Requirements
- 5+ years of experience in data engineering with a strong background in Python, SQL, and Spark.
- Proven expertise in AWS data services (Redshift, S3, Glue, Athena, Lambda).
- Solid understanding of data modeling, schema design, and performance tuning.
- Experience with CI/CD pipelines, version control, and automated testing for data workflows.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.