Python fejlesztő állások, munkák Németországban

• You develop advanced algorithms for the analysis, control, protection, and optimization of industrial grids and microgrids
• You validate concepts through simulation, software prototypes, and demonstrators

You'll deliver the full technical architecture (data model, integration map, deployment topology, security model) for 4+ enterprise HubSpot programs of €150k+ each per year, at Director sign-off quality...

Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem...

Design, implement, and maintain data pipelines that integrate multimodal, structured and unstructured clinical and surgical data from proprietary data collection systems and electronic health record systems, supporting both retrospective analyses and secure live or near-real-time data flows in...

• Designing and optimising ultra-low phase noise OCXO architectures for defence, aerospace and precisiontimingapplications.
• Developing oscillator circuits, sustaining amplifiers and thermal control systems to achieve phase noise and frequency stability performance.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Analyze business processes and identify opportunities for automation and workflow optimization.
• Gather requirements from stakeholders and translate business needs into automation solutions.
• Develop, test, implement, and maintain automation workflows, scripts, and bots using appropriate technologies.

• Lead and contribute to research software scientific activities at DESY, particularly in relation to software developments in photon science and high-energy physics
• Coordination and requirements gathering in cooperation with DESY research groups and upcoming projects (PETRA IV, HL-LHC, FCC)

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

The customer's decision problem. Sit with the people who plan today, understand capacities, costs, lead times and the constraints nobody wrote down, and turn it into a model whose answer a plant manager acts on. Inventory, scheduling, supply shortages, order prioritization: the decisions that...

You will develop a novel mathematical approach for the comprehensive modeling of pin winding systems (hairpin windings), thereby laying the foundation for innovative electric machine designs....

During your internship, you will work on a 3D scene editing pipeline using 3D Gaussian Splatting, Video Diffusion Models and semantic embeddings (CLIP/DINO)....

• Maintenance and enhancement of various Python scripts
• Development of modules for data collection from multiple sources, data processing, and storage in SQL databases
• Development of scripts and modules for data analysis and visualization

• analyze complex databases, data streams, and large datasets to derive valuable insights and actionable recommendations
• develop, implement, and optimize algorithms and analytical models to improve existing business processes

• Simulating physical phenomena and translating results into meaningful data
• Developing and refining signal processing algorithms for real-world applications
• Translating algorithms into efficient embedded implementations on resource-constrained hardware platforms

• Development of FPGA/SoC-based digital designs for the control and readout of complex, robust laser systems
• Ownership of the full FPGA/SoC development lifecycle: from requirements definition and system architecture through RTL implementation, simulation and prototyping to a qualified product

• Cloud Operations: Design, implement, monitor, maintain and optimize the SAP Sovereign Cloud system landscape for Germany.
• Setup of a multi-system landscape architecture and integration aspects between heterogeneous system technologies.

• Single point of contact for the research faculty and group leaders on specialist IT, data and computing needs
• Assessment of research IT needs and their translation into actionable demands
• Onboarding and key user management: making sure that our researchers can work productively from day one

• Cloud Operations: Design, implement, monitor, maintain and optimize the SAP Sovereign Cloud system landscape for Germany.
• Setup of a multi-system landscape architecture and integration aspects between heterogeneous system technologies.

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions