Data Engineer (m/w/d)
Core
Designing, building, and operating ETL/ELT pipelines to integrate ERP, shop, and third-party data into a Data Warehouse/Lake, ensuring data quality and consistency for reporting and machine learning.
Role type
Data Engineer
Builds
Data pipelines, Data Warehouse/Lake, Cloud infrastructure solutions
Domain
E-commerce / Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python, SQL, Airflow, Spark, relational databases, Data Vault modeling, Cloud platforms (GCP/Azure/AWS), Docker, Kubernetes, Prometheus, Grafana
Preferred skills
PubSub, dbt, requirements gathering, external provider coordination
Technologies
Python, SQL, Airflow, Spark, GCP, Azure, AWS, Docker, Kubernetes, Prometheus, Grafana, dbt
Responsibilities
Design and build ETL/ELT pipelines for data integration; model data using Data Vault and dimensional models; implement data quality monitoring and automation; coordinate external service providers; plan and execute unit, integration, and performance tests; document processes and interfaces; conceptualize and implement cloud infrastructure solutions.
Seniority
Mid-level, hands-on IC
