Python programozó diákmunka állások, munkák Németországban

In Observability you'll build the tools for monitoring and measuring infrastructure, microservices, and sometimes totally unique workloads. You'll put the developer experience at the front of your mind and implementations, and you'll contribute deeply to understanding and preventing incidents...

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...

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

• 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.

• Exciting projects in the field of software development in the aerospace industry
• Many fields of activity in the area of application or hardware-related development
• Participation in the design and development of complex software
• Carrying out different test procedures
• Cooperation in system integration

• 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

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

Acting as a senior technical contributor within automated regression testing and sharing expertise with colleagues across the Test & Verification team....

• 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.

• Define and maintain the overall aircraft system architecture
• Identification and management of system requirements
• Integration of subsystems and components in the overall system architecture

Where you belong: Where you belong: ...

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

• Collaborate with business stakeholders and leadership teams to gather requirements, develop, and support data modelling and BI solutions for organizational stakeholders
• Integrate different data sources into a cohesive data fabric, ensuring data consistency, accuracy and reliability

• 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

• 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

• 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

• Advise business stakeholders on data-driven opportunities and solutions that support informed decision-making, digitalization, and business growth
• Design end-to-end data solutions for business use cases, from data ingestion and transformation to reusable data products

Design, build, and continuously optimize ETL/ELT workflows that power our data landscape — from ingestion to delivery — with reliability and scale in mind....

• 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...