Key skills
AzureIoTPythonSQLData LakeDatabricks
About this role
Role Overview
- Support in designing and implementing data platform architectures in Azure and on-premises, as well as data integration.
- Collaborate with clients and team members—remote or onsite—across all project phases from requirements analysis to documentation.
- Work on projects using technologies such as DevOps, SQL, Python, and more.
- Actively participate in the community: share project experiences and knowledge through mutual exchange with colleagues.
Requirements
- Experience as a Data Engineer in the automotive, life sciences, finance, or manufacturing sectors is required.
- Understanding of business processes and complex IT solutions, preferably within the Microsoft technology stack.
- Strong knowledge and experience in requirements engineering.
- Familiarity with the Azure platform and services such as Azure Data Factory, Data Lake, SQL, Databricks, and IoT Hub.
- Fluent in German (minimum B2/C1) and English.
Tech Stack
- Azure
- IoT
- Python
- SQL
Benefits
- Opportunity to work for Microsoft Global Alliance Partner of the Year (14 years in a row), with exceptional development and training opportunities (at least 80 hours per year for training and paid certifications).
- Work with technically skilled and qualified colleagues worldwide.
- A dedicated Career Adviser to support your career growth.
- Motivated and helpful colleagues who are genuinely interested in your success.