Salary
💰 €4,500 - €7,500 per month
Tech Stack
AzureCloudETLMS SQL ServerPythonSQL
About the role
- Design and implement data processes and pipelines (e.g., Azure Data Factory, Databricks).
- Develop, version, and maintain data models.
- Build and optimize data models for scalable, high-performance data solutions.
- Work with cloud-based data infrastructures, primarily on Microsoft Azure.
- Design and execute schema and data migrations.
- Optimize ETL performance for large and complex datasets.
- Collaborate with cross-functional teams to ensure smooth data flow, integration, and scalability.
- Enable efficient migration, transformation, and analysis of data to support client needs.
Requirements
- Strong technical knowledge of programming languages, databases, and frameworks.
- Deep understanding of data modeling concepts and techniques (data warehouse, transactional).
- Proven experience with Databricks & Delta Lake.
- Proficiency in Python and PowerShell.
- Experience with MS SQL Server and T-SQL.
- Solid knowledge of the Azure Data Engineering stack (Azure Data Factory, Azure Data Lake, Cosmos DB).
- Hands-on experience with DevOps practices, testing, operating, and optimizing complex data flows.
- Proficiency with development toolchains and CI/CD: Azure DevOps, Git, Visual Studio.
- Experience with Windows OS and Azure cloud platforms.
- Familiarity with Agile methodologies (Scrum, Agile).
- Experience with Power BI for data visualization and reporting.
- Willingness and readiness to travel as required by project or client needs, including occasional domestic or international travel on short notice.