Python állás, munka

• Responsibility for the software architecture including fundamental software engineering non-functional and functional requirements and constraints
• Analysis of business and technical requirements for software platforms and infrastructure

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

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• Design, build, and operate scalable data infrastructure
• Build and optimize scalable data warehousing and lakehouse solutions
• Ensure data integrity end-to-end
• Create and own robust ELT pipelines connecting multiple internal and external data sources

• Design and develop robust, scalable backend components using Java and the Spring framework
• Contribute to the redesign and modernization of a legacy Python-based system
• Contribute to API design, system architecture, and performance tuning for the team’s services

Project specific intro: Join a cybersecurity and AI project supporting Siemens Cybersecurity Governance, Risk & Security (CYS GRS ARC). You will work on the further development of the AIGIS System, an AI-powered platform that helps Siemens employees respond to customer cybersecurity questionnaires...

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

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

• Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás
• Azure Function App fejlesztés
• Dokumentálás
• Programozás Pythonban
• Azure infrastruktúra tervezés és karbantartás
• Rendszeres ellenőrzés, frissítés és teljesítmény optimalizálás Azure környezetben
• Fejlesztések tervezésében aktív részvétel

• Design, build, and maintain modern web applications across the full stack
• Develop rapid prototypes and proof-of-concepts to validate business ideas
• Build AI-powered applications using modern LLM technologies, APIs, and cloud services

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

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Support the implementation and ongoing improvement of digital services and solutions for business customers
• Define and maintain development, testing, and operational standards to support continuous delivery
• Design, build, and maintain tools for deployment, monitoring, and operations

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation