Team Lead Data Engineering – Data Integration, Data Warehouse | Teamlead Data Engineering (w/m/d) – Data Integration, Data Warehouse
Wardow GmbH Potsdam
Job Summary
As a Team Lead Data Engineering, you will be a specialist in data integration solutions, developing a deep understanding of company data to inform all business decisions. You will lead a team responsible for the technical analysis, design, and implementation of ETL and real-time analytics processes, ensuring their continuous improvement for optimal quality and reliability. Day-to-day, you will actively work with a modern data stack, primarily Snowflake and dbt, modeling data from various touchpoints like the shop, ERP, marketing, product, and pricing systems to analyze customer and product data. You'll also use Reverse-ETL to transfer data back to the shop and business applications, leveraging your Python and SQL skills. The role involves implementing tasks in agile sprints, focusing on high-performance processing and storage of large data volumes in both Data Lakes and Data Warehouse systems. This position offers a modern work environment with flat hierarchies and a strong team spirit, fostering innovation and continuous development.
Required Skills
Education
Completed degree in Computer Science or a comparable field, or equivalent training/experience.
Experience
- Professional experience in software development
- Broad knowledge of Big Data Engineering technologies (e.g., Snowflake, Apache Airflow, dbt, Kafka)
- In-depth knowledge of Python and SQL
- Knowledge of data analysis (e.g., Tableau) and data management
Languages
Additional
- Not specified