Data & Analytics Engineer (m/f/d)
Statista, Hamburg or Berlin
The role
- Design, implement, and maintain backend services in Python that power our data access and distribution layer
- Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes
- Design and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry
- Build access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API