We programozó állások Németországban (it programozás, fejlesztés)

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

Marketing Process Architect: You are responsible for the end-to-end automation of our marketing processes. Your goal is to minimize manual operational effort in performance marketing through intelligent workflows....

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Integration and programming of robotic manipulators (e.g. UR, Franka, or similar collaborative arms) and motion systems (e.g., gantries) in real operational environments
• Sensor integration and closed-loop feedback control, including force/torque sensing, vision systems, and real-time error detection

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

• Design and implement end-to-end automated workflows using platforms like Power Automate, N8N or python to streamline document-heavy business processes.
• Manage dynamic content and variables to ensure data flows correctly between disparate systems like SharePoint, Excel, and APIs

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications.
• Typically, these solutions encompass a completely automated light microscopy workflow from image acquisition to the image analysis.

Lead and manage a global team of data scientists, ML engineers, and AI researchers, setting technical direction, ensuring quality, and fostering a strong culture....

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features

• Engage in advanced Data Analytics to uncover insights and drive strategic decisions
• Work with state-of-the-art platforms like Microsoft Fabric to build robust data solutions and pipelines

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

• Execute, maintain and improve manual test cases in Azure DevOps, including updating test steps, logging defects, and verifying bug fixes through retesting.
• Support testing teams in preparing, configuring, and maintaining test equipment required for Component, Integration, and E2E testing activities.

Lead and collaborate with cross-functional teams to generate digital biomarker signatures from complex datasets using AI/machine learning, enabling target engagement assessment, patient stratification, and early signals of biological activity....