It programozás, fejlesztés állások, munkák

• Projekttervezés és -ütemezés
• Projektköltségek nyomon követése és betartatása
• Kockázatok felmérése és kiküszöbölése
• Projektdokumentáció készítése
• Fejlesztői, infra és támogatási projektek összefogása
• Kapcsolattartás az ügyféllel a projekt kivitelezése során
• Ajánlatok készítése az ügyfelek számára

• Implementation of software components in helicopter simulations
• Integration of software components into the overall system
• Definition and execution of integration tests
• Creation of the documentation under consideration of project specifications

• Recording customer requirements and formalising them into system requirements
• Refining device requirements
• Monitoring project status using configuration management tools such as Jira and Confluence
• Preparing for and participating in workshops with stakeholders

• Development and maintenance of embedded software components in C/C++
• Porting and rehosting existing software solutions to new target architectures
• Parallelisation of software processes on multi-core processors
• Integration and use of tools such as Tiger Lab for simulation and analysis

• Lead the IT function across PEAC Solutions Europe, overseeing five teams and more than 50 employees in nine European countries.
• Own, manage, and optimize our core enterprise SAP platforms, ensuring they scale efficiently to support our complex leasing and finance products.

In constant exchange with local IT/OT functions, oversee the installation, configuration and maintenance of manufacturing hardware and software, including PLC, SCADA, HMI and MES systems...

CI/CD ownership: Own and evolve our shared GitHub Actions platform so it stays maintainable, reliable and easy to adopt across the team's repositories. Our stack is mainly Python, so you'll need a solid grasp of the Python packaging and tooling ecosystem. Occasionally you'll extend the platform to...

• Develop and maintain embedded software for ARM-based SoC and FPGA control platforms.
• Configure and integrate embedded Linux/PetaLinux, including board-support packages, bootloaders, device trees and peripheral drivers.

• Build and own scalable data pipelines and integration solutions our data warehouse and data platform.
• Integrate and transform data from ERP, CRM, finance, and other enterprise systems.
• Ensure high standards of data quality, reliability, performance, and operational excellence.

Own the Azure cloud environment end-to-end, including tenant administration, identity and access management (IAM), subscription governance, and resource organisation...

• Understanding global business strategy and translating on business department/employee level
• Creating alignment within the organisation for action plan implementation
• Proactive testing of new solutions and proposals to leverage service delivery maturity

• Translation of business challenges into practical, scalable AI-driven products
• Co-ownership of AI solution delivery with business stakeholders
• Leadership of entire product lifecycle from discovery to production deployment and scaling

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• AI-alapú alkalmazások és szolgáltatások fejlesztése Pythonban
• Nagy nyelvi modellek (LLM) integrálása vállalati rendszerekbe
• API-k és újrafelhasználható komponensek építése az AI-megoldásokhoz
• RAG-megoldások és AI-agentek fejlesztése saját infrastruktúrán

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Üzleti igények strukturált összegyűjtése, megértése és egyeztetése
• Dokumentumok készítése (üzleti követelmények, specifikációk, tesztesetek)
• Döntéstámogató anyagok, riportok készítése
• CRM és low-code / no-code alapú megoldások beállítása, paraméterezése, üzleti tesztelése