Python programmer állások, munkák Németországban

Improve the reliability, scalability, performance, security, and cost-efficiency of the platform's microservices running on Kubernetes and AWS....

Develop next-generation discrete ESD and TVS protection devices for high-speed, RF sensitive and automotive applications....

• Screen and summarize scientific literature
• Develop prototype setups through simulation and experimentation
• Test hypothesis by planning and carrying out measurements
• Develop and implement algorithms to interpret sensor data
• Present your results at regular intervals
• Document your findings

• Own IAM strategy across Entra ID and Active Directory
• Manage conditional access, PIM/PAM, and identity lifecycle governance
• Develop identity-centric detections and threat-hunting workflows, analyzing Entra ID logs and privilege escalation paths in alignment with the SOC

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

• Development of software tools for analysis of measurement data from the photon diagnostic devices.
• Support data analysis with the objective of characterizing the X-ray beam and calculate SASE spectral information based on the acquired data.
• Support group with hardware and cable assembly.

• Lab validation measurements of semiconductor Silicon Carbide (SiC) Diodes and MOSFETs
• Define test strategies, test limits, and parameter setups for SiC MOSFETs, diodes, and power devices based on device specifications and characterization targets. Document test strategies in work instructions

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

• Work closely with quantitative datasets: cleaning, processing, running frequencies, building analysis files and identifying patterns that matter
• Prepare chart output and visualisations for client-facing presentations, translating analytical findings into clear, structured stories

• Administration, operation and optimization of network, server and cloud infrastructure
• Design, implementation and support of secure and highly available IT environments across multiple locations and vessels

Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security / privacy and interoperability (data-level to user-level)...

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• 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.

• Build and run evaluation pipelines for LLM-based systems
• Analyze metrics, identify edge cases, and track quality
• Create and maintain Golden and Silver datasets
• Work with evaluation frameworks and tools (like Langfuse)
• Develop Python scripts for AI workflows (APIs, data processing, monitoring)

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems
• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications

You operate, harden, and evolve our authoritative and recursive DNS, DHCP, forward-proxy, DNS and IP Management (DIM), and NTP services so they stay boringly reliable at internet scale...

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

Lead, Plan, and Deliver: You will own the technical execution for the AI team. This includes translating high-level user stories into clearly defined technical work packages, creating robust delivery plans in close cooperation with the SW Engineering Team and your own team, and ensuring timely,...

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI