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Senior Data Engineer - Deichmann
Data Engineer
Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and BI solutions using Python, SQL, and cloud technologies to support enterprise analytics across a global retail network.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into enterprise data warehouses.
- Collaborate with data scientists, analysts, and business stakeholders to define data models, schemas, and performance requirements for BI reporting.
- Implement and optimize data solutions on cloud platforms (AWS) using services such as Redshift, S3, Glue, and Lambda.
- Ensure data quality, governance, and security through automated testing, monitoring, and documentation.
- Mentor junior engineers and contribute to best‑practice guidelines for data architecture and pipeline development.
Requirements
- 5+ years of experience in data engineering, with a strong background in Python, SQL, and ETL tooling.
- Proven expertise in data modeling, warehousing, and BI tool integration (e.g., Power BI, Tableau).
- Hands‑on experience with AWS data services and big‑data frameworks such as Spark.
- Excellent problem‑solving skills and ability to work in a fast‑paced, global environment.
- Strong communication skills in German and English.