Snowflake Jobs in Munich

In this role, you will support the team in building forecasting models, maintain complex data solutions, and analyze data issues to create accurate short-term forecasts while monitoring processes.

In this role, you will design modern data solutions and architecture, collaborating with clients from requirements analysis through implementation, while also driving strategic portfolio development.

In this role, you will build robust ML systems and infrastructure to transform real-world data into trained 3D world models and create automated production endpoints while closely collaborating with the research team.

In this role, you will design and maintain scalable data pipelines and architectures, efficiently integrate data sources, and collaborate with interdisciplinary teams on end-to-end solutions for data-driven projects.

In this role, you develop modern data solutions and architectures, lead customer projects from requirements to implementation in data management, and ensure integration into existing IT landscapes.

In this role, you will develop scalable ETL/ELT pipelines for structured and unstructured data, automate data workflows, and optimize data infrastructure in cloud and hybrid environments.

In this role, you develop innovative Snowflake solutions and collaborate closely with data teams to design optimal data architectures, providing specialized consulting to clients.

In this role, you are responsible for building and operating our cloud data platform, developing data models and dashboards, while supporting agile projects to enhance our data landscape.

In this role, you will design Big Data and AI platforms, develop data pipelines, operationalize AI models, and lead engineering projects with teams to create innovative cloud-based data solutions.

In this role, you advise international financial companies on Data Engineering and Data Science, lead the implementation of scalable data platforms, and develop innovative AI solutions in projects and proofs of concept.

In this role, you will develop and maintain scalable cloud data platforms, implement data pipelines using technologies like Apache Spark and Kafka, and leverage DevOps tools for automation and integration.

In this role, you will design the technical vision for the analytical data platform, define best practices, and advise Data Engineers and Data Scientists on projects to enhance efficiency.

Technical Vision: Development and communication of the technical vision for the analytical data platform. Architectural Guidelines: Specification and tracking of best practices for the use and development processes on the analytical data platform....

Understand requirements and advise customers: In collaboration with the specialist departments, you will develop concrete requirements for the data pipelines and advise our customers on best practices and Snowflake data engineering features (such as...