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Data & Analytics Engineer - Seifert Logistics Group
Data Engineer
Data & Analytics Engineer responsible for designing, building, and maintaining scalable data pipelines and analytics solutions using Python, SQL, AWS, Spark, and Airflow to enable data-driven decision making.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines from diverse sources to data warehouses and lakehouses.
- Implement data models and transformations using SQL, Python, and Spark to support reporting and analytics.
- Automate workflow orchestration with Airflow, ensuring reliability, monitoring, and alerting.
- Collaborate with data scientists and business stakeholders to translate analytical requirements into technical solutions.
- Optimize performance and cost of cloud-based data infrastructure on AWS.
Requirements
- Proven experience in data engineering with Python, SQL, and Spark.
- Hands‑on knowledge of AWS services (S3, Redshift, Glue, EMR, Athena).
- Experience building and maintaining Airflow DAGs and monitoring pipelines.
- Strong problem‑solving skills and ability to work in a fast‑paced environment.
- Excellent communication skills in German and English.
Skills
pythonsqlawsapache sparkairflow