Streamlit Jobs in Germany

In this role, you will develop automated solutions for ingesting various data types into the infrastructure, analyze data to test hypotheses, and support the development of predictive models.

In this role, you will design robust infrastructures for processing geospatial data, oversee cloud environments in GCP, and support data pipelines while guiding the team in design and architecture.

In this role, you will develop data pipelines using Microsoft Fabric, optimize data models in SQL and Python, and integrate AI features into existing solutions to create innovative data applications.

In this role, you develop data pipelines using Snowflake and tools like dbt and Airflow, analyze data, advise clients on best practices, and ensure robust data processes and governance policies.

In this role, you will develop scalable data models for scientific applications, integrate lab data via APIs, and implement solutions in Python while working closely with customers and scientists.

In this role, you will design data models, implement scientific data solutions, and integrate lab software via APIs while closely collaborating with customers and cross-functional teams.

In this role, you design AI workflows and tools, create prototypes, build robust error handling, and integrate solutions into larger platforms, while collaborating with the team on ML models and evaluation methods.

In this role, you will develop machine learning models, build data acquisition pipelines, and create interactive applications using RShiny or Streamlit to gain data-driven insights.

In this role, you will develop machine learning models to address complex business problems, analyze large datasets, optimize solutions within interdisciplinary teams, and communicate findings to diverse stakeholders.

In this role, you will develop innovative AI solutions, implement RAG architectures, integrate LLMs into business processes, and optimize complex workflows using GenAI technologies.

In this position, you develop data pipelines using tools like dbt and Fivetran, advise clients on Snowflake features, analyze data with the Snowflake AI Suite, and collaborate closely with various teams.

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...