Senior Data Engineer – Data Integration and Data Warehouse | Senior Data Engineer (w/m/d) – Data Integration, Data Warehouse

Job Summary

This Senior Data Engineer role focuses on building and maintaining a robust data infrastructure using a Modern Data Stack, specifically Snowflake and dbt, to support analytics and operational processes. The core mission involves modeling complex raw data from various sources (Shop, ERP, Marketing) into stable, versioned data models. Day-to-day tasks include developing scalable, high-performance data pipelines using SQL and Python, and ensuring data quality, lineage, and documentation through orchestration, testing, and monitoring. You will also design and implement ETL, Reverse-ETL, and Real-Time Analytics workflows, continuously optimizing them for quality and cost. This position requires a background in Computer Science or professional software development experience, coupled with expertise in Big Data technologies like Apache Airflow and Kafka. A key attractive element is the opportunity for technical leadership, coaching team members, and a clear career path towards a Team Lead role within a company known for its strong team spirit and modern, flexible work environment in Potsdam.