Senior Data Engineer (w/m/d) – Data Integration, Data Warehouse
Core
Designing and implementing scalable data pipelines and modern data stack solutions for analytics and Reverse-ETL across e-commerce, ERP, and marketing systems.
Role type
Senior Data Engineer (Data Integration & Warehouse)
Builds
Stable, versioned data models and real-time analytics workflows for the premium luggage and accessories e-commerce business.
Domain
Retail E-commerce / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Snowflake, dbt, Apache Airflow, Kafka, Data Modeling, ETL/Reverse-ETL, Data Lineage, System Design
Preferred skills
Tableau, Real-Time Analytics, Team Leadership, Coaching
Responsibilities
Model raw data from multiple sources into stable data models; develop and orchestrate scalable data pipelines; design and optimize ETL and Real-Time Analytics workflows; analyze complex business problems and implement end-to-end data solutions; ensure data consistency and documentation; provide technical leadership and coaching to the team.
