Python developer állások VI. kerületben (it programozás, fejlesztés)

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Software bevezetés támogatása
• API kapcsolatok kiépítése és kezelése
• Adatbázisok (SQL) tervezése, építése
• Alap frontend feladatok ellátása
• AI eszközök hatékony használata a napi munkában

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs...

• The work spans three distinct problems, and you keep them clear: testing agentic product behaviour, using agents to test conventional software, and building the agentic quality infrastructure that supports both. 
• Quality engineering 

• nagy mennyiségű adat feldolgozását támogató adatfolyamatok tervezése és fejlesztése,
• adatbetöltési, adattranszformációs és adatminőség-ellenőrzési folyamatok kialakítása,
• adatforrások integrálása, strukturált és félig strukturált adatok kezelése,

• Oracle adatbázisokhoz kapcsolódó fejlesztési feladatok ellátása,
• PL/SQL eljárások, függvények, csomagok, triggerek fejlesztése és karbantartása,
• A fejlesztésekhez kapcsolódó tesztelési feladatok ellátása,
• Elkészült programegységek telepítése,
• adatbázis-struktúrák, táblák, nézetek és indexek tervezése,

• Identify AI and automation opportunities across business processes
• Work with different departments to understand processes, pain points and repetitive activities
• Challenge existing ways of working and propose simpler, automated or completely new approaches

• Eszköz-Forrás Menedzsment (ALM) területen használt likviditási és banki könyvi kamatlábkockázati modellek, módszerek fejlesztése(magyar, külföldi operáció)
• Részvétel a mérlegmenedzsment által használt adatbázisok, adatkörök fejlesztésében
• ALM Dashboard fejlesztése

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Working with cutting edge technology enabling Cloud Journey
• Managing Infrastructure as Code for parts of Core Platform Layer including Kubernetes Clusters, Message Broker backends, Infrastructure tooling

• Design, build, and maintain scalable ELT/ETL pipelines on AWS
• Develop and optimize data models and transformations in Amazon Redshift
• Implement and maintain CDC (Change Data Capture) ingestion pipelines
• Build orchestration workflows using AWS Step Functions

• Verification process of IoT, Mobile and Infrastructure subsystems integrating the latest Arm IPs
• Design and verification activities to fulfill project requirements
• Collaboration with architecture, design, verification, performance analysis, implementation and various IP teams

• Be able to manage small teams to deliver analytic functions in support of strategic and business development projects.
• Analyse and assess macroeconomic, energy market and other industry-specific developments by synthetizing available empirical evidence, related literature, and economic theory.

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alarms
• Communicate and troubleshoot operational issues supporting a complex environment
• Respond to cloud service outages and manage incident tickets

• Build, operate, and improve production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Design scalable data pipelines and data models for growing data volumes and processing needs