About your tasks:

Design and implement scalable, high-performing data pipelines and optimize our data architecture.
Build and deploy cloud-native solutions leveraging Azure Data Services, Databricks and other Big Data technologies.
Collaborate across teams to understand and support their data needs while ensuring the data architecture supports ongoing and future initiatives.
Apply CI/CD practices in Data Analytics projects to streamline development and deployment processes.
Continuously optimize performance, scalability, and security in our data systems.

Data Engineer (DataOps) (m/f/d)

Job Description