Snowflake Jobs in Austria

In this role, you design and manage Kubernetes infrastructures on AWS, automate deployment processes, optimize cluster performance, and integrate various applications along with monitoring tools.

In this role, you will design and manage infrastructure using Kubernetes and AWS, optimize cluster performance, automate deployment processes, and integrate critical services in an agile environment.

In this role, you develop modern data architectures and pipeline structures, implement solutions using platforms like Snowflake and Databricks, and advise clients on optimizing their data strategies.

In this role, you will develop scalable data platforms and integrate various data sources while using modern technologies such as Snowflake and Databricks to create powerful data solutions.

In this position, you will develop effective data models and pipelines to integrate data from various sources like Salesforce and Google Analytics while continuously improving data quality through established standards.

In this role, you will develop AI and data architectures, design technical concepts and roadmaps, assess technologies, and implement scalable data solutions for complex applications for clients.

In this role, you will develop data pipelines and ELT processes, optimize serverless AWS architectures, and closely collaborate with software development and data analytics to enhance the data platform.

In this role, you will design scalable data solutions using Python, SQL, and Snowflake to integrate local data sources and implement AI applications in data analytics and automation.

In this role, you will develop scalable, high-quality data models and analytical products to translate business requirements into trusted data solutions for analytics and reporting.

In this role, you lead a consulting team for Data Transformation, develop AI strategies and data architectures, analyze data management practices, and create implementation concepts for client projects.

You develop modern AI and data solutions, design AI use cases, and manage cloud-based platforms while working with technologies such as Python, Power BI, or AWS.

In this role, you will develop modern AI and data solutions, design end-to-end use cases, and work on cloud platforms while choosing your focus on AI/ML engineering, analytics, or cloud platform engineering.

In this role, you will take ownership of the data infrastructure, develop robust ETL pipelines, and ensure data quality through monitoring, validation, and automation to provide accurate analytics and reporting.

In this role, you will analyze data using Snowflake SQL and Power BI, create reports, support stakeholders with actionable insights, and ensure data quality and governance for strategic decision-making.