onsite
Data & Analytics Engineer - Seifert Logistics GmbH
Data Engineer
Lead end‑to‑end data pipelines and analytics solutions using Python, SQL, and AWS services, driving insights and operational efficiency for a logistics organization.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines from diverse sources to cloud data warehouses.
- Implement ETL processes using Python, Spark, and SQL, ensuring data quality and performance.
- Leverage AWS services (S3, Redshift, Glue, Lambda) to build and orchestrate data workflows.
- Collaborate with data scientists and business stakeholders to translate analytical requirements into technical solutions.
- Monitor, troubleshoot, and optimize pipeline performance, applying best practices for reliability and cost efficiency.
Requirements
- Proven experience in data engineering with Python, SQL, and Spark.
- Hands‑on knowledge of AWS data services (S3, Redshift, Glue, Lambda).
- Strong understanding of ETL concepts, data modeling, and performance tuning.
- Excellent problem‑solving skills and ability to work cross‑functionally.
- Fluent in German and English, with strong communication skills.