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, stable versioned data models, and Real-Time Analytics workflows for analytics and Reverse-ETL.
Domain
Retail (Premium luggage and accessories) + Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, Snowflake, dbt, Apache Airflow, Kafka, Data Modeling, ETL/Reverse-ETL, Real-Time Analytics, Data Lineage, Team Leadership/Coaching
Preferred skills
Tableau, Data Analysis (via careerplan.io/jobs/10001-1003784199-S-senior-data-engineer-wmd-data-integration-data-warehouse-at-wardow-gmbh-potsdam)
Technologies
Snowflake, dbt, Apache Airflow, Kafka, Python, SQL, Tableau
Responsibilities
Model raw data from Shop, ERP, Marketing, and Product/Price systems into stable data models; Develop scalable data pipelines ensuring performant and fault-tolerant processing; Design and implement ETL, Reverse-ETL, and Real-Time Analytics workflows; Analyze complex problems with business units to develop and deploy data solutions; Ensure data consistency, lineage, and documentation; Provide technical leadership and coaching to the team.
