Apache Spark Jobs in Frankfurt

In this role, you will develop analytical solutions and dashboards using tools like Tableau, design data platform architectures, and serve as a point of contact for data inquiries and analyses in agile projects.

In this role, you implement data-driven solutions, ranging from data integration to BI reports and machine learning models, while closely collaborating with clients across various industries.

In this role, you will develop full-stack applications, optimize MSSQL databases, and define the architecture of scalable systems while working with big data and modern technologies.

In this role, you will develop full-stack applications, optimize MSSQL databases, and implement ETL processes. Additionally, you will integrate search technologies like Elasticsearch and develop RESTful APIs based on microservices.

In this role, you will develop ETL processes, maintain the data infrastructure, and build efficient data models to create a scalable foundation for analytics and machine learning models.

In this role, you will develop data-driven solutions, handle data integration and modeling, and conduct customer workshops while utilizing modern technologies like Azure, Databricks, and Apache Spark.

In this role, you will develop a modern cloud data architecture for advanced analytics and ML, define data quality and usage standards, and implement processes for data integration and monitoring.

In this position, you will specify technical requirements for data projects, implement data pipelines, and develop tailored solutions to support complex logistics decisions based on data.

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 will conduct customer analyses and marketing optimizations, create sales forecasts and product analyses, build dashboards for KPI tracking, and regularly report relevant insights to management.

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...

You will advise our customers on the architecture, implementation, and use of intelligent data solutions with the Snowflake AI Data Cloud (such as DataMesh, Datasharing, Marketplace). As an architect, you will design future-proof cloud data...