Stellenbeschreibung
Make it happen
YOU...
- monitor and support Snowflake databases, data pipelines, dbt transformations, and data quality processes
- investigate and resolve data-related incidents by tracing data flows across SAP, Snowflake, dbt, Aurora, and downstream applications
- troubleshoot SQL queries, transformation logic, failed dbt models, REST APIs, OData integrations, and cloud-based data provisioning processes
- implement, test, and deploy sustainable data-layer fixes through established CI/CD processes while ensuring production stability
- collaborate with development, platform, AWS, and business teams to drive end-to-end issue resolution and communicate progress transparently
- document root causes, corrective actions, and best practices while continuously improving monitoring, automation, and support processes
Be our forward thinker
YOU...
- bring multiple years of experience in Data Engineering or technical data platform support, including hands-on production troubleshooting
- possess strong expertise in SQL, Snowflake, dbt, ETL/ELT processes, data modeling, and data quality validation
- have solid experience working with REST APIs, OData V2, HTTP, JSON/XML, and API testing tools such as Postman
- are familiar with Git, GitLab CI/CD, and the implementation and deployment of fixes across development, test, and production environments
- demonstrate strong analytical skills, technical ownership, and the ability to collaborate effectively with both technical and business stakeholders
- have fluent English language skills; experience with SAP procurement data, AWS services (S3, API Gateway, Aurora), or Python scripting is considered an advantage
A home where people learn and thrive
- Permanent Employment
- Attractive Salary
- Mobile working in consultation
- Individual Trainings
- Flexible Working Hours
- Employee Events
- Wellpass