Python fejlesztő állás, munka

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

As a student (m/f/d) in the field of networking development, you will support the team in testing the infotainment functions of the vehicle. To do this, you will become the representative of our customers - long before they experience a system for the first time. Your focus will be on network...

- Support building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD) - Design, develop, and maintain automation tasks using Python to facilitate smooth execution - Troubleshoot and resolve issues related to...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

• 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

Developing and maintaining data pipelines in Azure Databricks Writing transformation logic using Python and SQL Supporting data migrations and platform improvements Working within a structured, company-level Databricks framework Collaborating in a Scrum-based setup (2-week sprints, Jira, daily...

Design, prototype, and refine LLM-based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...

• Take an existing internal embedded development platform and port it to Zephyr RTOS as a proof-of-concept
• Create or extend lab setups involving various microcontrollers
• Explore the use of NPUs, DSPs, or other accelerators in RTOS-based systems

Build Europe's sovereign cloud infrastructure through open source at SAP, with a focus on network automation. You'll contribute to the ApeiroRA Reference Architecture within the EU's IPCEI-CIS initiative, developing Kubernetes operators and controllers that automate network provisioning and...

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, observability, and the APIs that...

Funkcionális specifikációk technikai tervezése, alkalmazás- és rendszerarchitektúra kialakítása Skálázható és karbantartható full-stack fejlesztés: db, backend, frontend, API-k és külső integrációk megvalósítása Deploy és üzemeltetés előkészítése (konténerizálás, CI/CD, cloud) iránti (tanulható)...

• Own the implementation of our Product Analytics strategy and bring the Business Insights vision to our product areas.
• Act as a strategic partner in our product discovery streams, deriving data-driven recommendations for product decisions.

• 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

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints