Your tasks
- Analysis, design, development, and optimization of cloud and on-premises solutions with a focus on Microsoft Azure for analytical systems within the scope of our consulting projects
- Migration of existing data and analytics systems to the Azure Cloud, as well as integration into hybrid architectures
- Implementation of Azure Data Warehouse and analytics use cases with modern Azure technologies such as: Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL / Azure SQL MI, Azure Databricks, Azure Data Factory / Azure Synapse Pipelines, or Microsoft Fabric
- Creation of Proof of Concepts and technical showcases based on current Azure technologies
- Medium-term assumption of (partial) project management, as well as conducting training and workshops on Azure Data Engineering and Cloud Architecture
What do we expect from you?
- A degree in a STEM field or a comparable qualification
- At least 2 years of practical and demonstrable experience in cloud or data engineering with Microsoft Azure
- Ideally, knowledge of CI/CD and Infrastructure as Code, e.g., with Terraform, Bicep, or Azure DevOps Pipelines
- Experience in deploying, processing, and visualizing data (ETL/ELT, e.g., with Azure Data Factory, Synapse Pipelines, or Power BI)
- Strong willingness to learn and enthusiasm for new technologies within the Azure ecosystem
- Analytical and logical thinking, goal-oriented actions, and teamwork skills
- Language Skills:
- German: Minimum C1
- English: Minimum B2
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