Fabric Jobs in Austria

In this role, you will develop data pipelines and implement AI solutions, automate ETL processes using tools like Azure Data Factory, and support cloud deployments on platforms like AWS or Azure.

In this role, you will enhance the analytics infrastructure, implement data lake and data warehouse architectures, and ensure data quality while collaborating closely with product teams to derive relevant KPIs.

In this role, you will manage applications, develop digital tools, analyze processes, and coordinate interfaces to enhance efficiency in daily work operations.

In this role, you will develop Power BI reports, ETL processes, and data models, optimize performance, and integrate data sources like SQL and APIs, while also creating applications with Power Apps and automating workflows.

In this role, you will develop scalable data pipelines in Microsoft Azure, optimize automation and CRM workflows, and collaborate closely with Appian developers and Data Scientists within the Digital Hub Team.

In this role, you will develop reporting and analytics solutions using Power BI, optimize data pipelines, and ensure data quality meets requirements, while collaborating closely with business units.

In this role, you ensure the stable operation of reports and dashboards in Power BI and Microsoft Fabric, advance the data platform, and support the development of modern data architectures.

In this role, you design and develop ETL/ELT pipelines and scalable data products on a modern Microsoft Fabric data platform, collaborating closely with departments on self-service analytics and Power BI solutions.

In this role, you develop innovative Microsoft solutions, define architectures, initiate customer projects, and manage agile workstreams while acting as a Single Point of Contact.

In this role, you design and develop modern data architectures. You migrate existing DWH structures to the cloud, analyze data models, and define transition strategies while addressing regulatory requirements.

In this role, you will architect and operate scalable data platforms and pipelines, work on ETL/ELT processes, and develop robust technical solutions for analytics and ML applications.