Python programmer állások, munkák Németországban

• Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli
• Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata

• Risk quantification, pricing, reserving and Solvency II analyses
• Development and automation of Excel- and Remetrica-based tools
• Use Python and AI assisted approaches to speed up data collection/validation, and improve reconciliation/movement analysis

• You understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.

• Plan, implement and manage comprehensive security solutions for IT systems and networks based on established security policies, standards and procedures
• Secure, maintain and continuously improve Azure and/or AWS cloud environments

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• You will be technically responsible for the characterization of mixed‑signal ASICs, covering analog circuits, digital logic, and high‑speed interfaces.
• You plan and execute comprehensive characterization campaigns that validate performance across all operating corners.

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...

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...

• 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.

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...

• 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

• 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

• 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.

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

Customer models, end to end. Turn a planning problem, with its capacities, costs, lead times and shift plans, into a model whose answer a plant manager acts on. That includes the data it runs on: ERP and Excel exports, and catching the numbers that cannot be right before the customer does....

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

• Screen literature and open-source codebases
• Select suitable wave-optical propagation algorithms and approaches from in-house or open-source implementations
• Select relevant use cases and appropriate evaluation metrics