Pyspark Jobs in Germany

In this role, you will develop, operate, and optimize complex data pipelines within a data analytics platform while collaborating closely with teams and ensuring data quality.

In this role, you design and implement data flows and databases in the Azure Cloud, closely collaborating with clients to transform their requirements into efficient data pipelines.

In this role, you will develop data integration solutions on Databricks, implement scalable data architectures, and lead cloud data engineering projects in collaboration with teams and clients.

In this role, you design and operate data pipelines, develop ETL/ELT processes, and ensure data quality in cloud environments while closely collaborating with interdisciplinary teams.

In this role, you will design stochastic models using machine learning and data mining, develop analytical tools, and automate processes to achieve strategic objectives within interdisciplinary teams.

In this role, you develop innovative data solutions in Databricks projects and take on (partial) project leadership, ensuring the system architecture meets functional and performance requirements.

In this role, you will develop complex Databricks solutions, design scalable data architectures, and implement AI workflows while collaborating closely with stakeholders for custom data requirements.

In this role, you will develop and maintain ETL data pipelines, optimize SQL and NoSQL databases, and ensure data quality through automated validation processes and testing.

In this role, you will be responsible for the technical implementation of Data & AI projects, lead a team, develop scalable data infrastructures, and bring AI models into operational use.

In this role, you will assist digitalization efforts by processing unstructured data, integrating into data pipelines, and independently implementing use cases in production.

In this role, you work on backend or frontend development, creating software using Java or Angular and implementing BPMN processes with Camunda, while learning agile methodologies and modern technologies.

In this role, you will develop scalable data pipelines and prepare structured and unstructured data for (Gen-)AI solutions, including MLOps execution and collaboration within agile teams.

In this role, you will be responsible for integrating data sources into the Data Hub via Change Data Capture and Custom Connectors, while standardizing and automating integration processes and ensuring security and compliance.

In this role, you develop AI solutions addressing complex business challenges by designing, experimenting, and deploying models into production using Azure, while mentoring junior data scientists.

In this role, you will develop machine learning models, implement Generative and Agentic AI solutions, and perform statistical analyses to derive valuable insights for optimizing an e-commerce platform.