Python fejlesztő állások, munkák Németországban

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

Using your strong data skills, you analyse and develop tailored insights that improve our acquisition funnel performance for cross‑product management and support the implementation of commercial analytics in our Business Banking....

• Own the reliability, security, compliance, and cost efficiency of our cloud platform
• Automate the provisioning, scaling, and maintenance of our cloud infrastructure using Terraform, Kubernetes, and more

Installation and commissioning of proven TDL, FTIR, and light scattering measurement systems at the new AIDAc2 atmospheric simulation chamber...

Setup and installation of instruments for generating and characterizing aerosols at the new AIDAc2 atmospheric simulation chamber...

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Apply your knowledge of security architecture to help software engineers build secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

This will be your future job • Exciting projects in the space industry • Application- and hardware-related development • Implementation of test procedures/automated scenarios including system integration • Carrying out different test procedures • Cooperation in system integration Your benefits at...

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

• 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.

• 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

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Design of Beckhoff PLC programs (TwinCAT3) based on project specifications and documentation
• Design of Safety programs (TwinSAFE)
• Support the development of standardized code blocks
• Test and comissioning of the PLC systems in-the-field
• Investigate and solve technical issues in-the-field

You steer internal and external international development teams to develop and operate a scalable, secure, and high-performance AI platform (In-Vehicle & Cloud)....

• 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

Own the end to end manufacturing process for avionics assemblies and electrical harnesses, including routing, termination, integration, and acceptance testing....

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....

• Support the development, documentation, and improvement of operational processes in pilot production
• Contribute to quality and process improvement projects, including the optimization of quality documentation, data analysis, and production processes

• 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