Senior Data Engineer (w/m/d) – Data Integration, Data Warehouse
Core
Designing and implementing ETL, Reverse-ETL, and Real-Time Analytics workflows on a Modern Data Stack to model raw data into stable, versioned data models for analytics.
Role type
Senior Data Engineer (Data Integration, Data Warehouse)
Builds
Scalable data pipelines and versioned data models for analytics and Reverse-ETL
Domain
Retail / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, Snowflake, dbt, Apache Airflow, Kafka, Data Analysis (Tableau)
Preferred skills
Team leadership and coaching
Technologies
Snowflake, dbt, Apache Airflow, Kafka, Tableau
Responsibilities
Model raw data from Shop, ERP, Marketing, and Product/Price systems into stable data models; Develop scalable data pipelines in SQL and Python; Design and implement ETL, Reverse-ETL, and Real-Time Analytics workflows; Analyze complex business problems with domain teams to develop data solutions; Ensure data consistency, lineage, and documentation; Provide technical leadership and coaching to the team.
