Engineer állások XXIII. kerületben (it programozás, fejlesztés)

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design, develop, test features for S/4HANA Asset Management according and in compliance with SAP development guidelines, product standards and KPIs
• Adhere to SAP development standards, guidelines and best practices

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

• Build and maintain internal tooling and UIs — workflow dashboards, content review interfaces, and evaluation visualization.
• Develop backend APIs using Typescript and Node.js that integrate with the agentic workflow platform.

• Define and execute test strategies across the full stack: backend APIs (FastAPI), frontend UIs, and agentic workflows.
• Define testing standards and frameworks that enable developers to own unit and integration test coverage, in line with a shift-left quality model.

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

• Learn QA/testing principles
• Design and implement automation end to end tests
• Work with Playwright or similar testing frameworks
• Learn large scale, cloud native software architectures
• Work in agile development methodology
• Gain experience working at a fast-growing, truly colourful company

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Szünetmentes áramforrás (UPS) berendezések és rendszerek:telepítése és üzembe helyezése,konfigurálása,megelőző karbantartása,hibakeresése és hibajavítása,akkumulátor cseréje,költöztetése és leszerelése
• Hibajegyek önálló kezelése, munkalapok és műszaki dokumentációk vezetése

• Informatikai projektek infrastrukturális követelményeinek meghatározásában, tervezésében és költségbecslésében.
• IT rendszerek bevezetésének szakmai támogatásában, kiépítésének ellenőrzésében.

Ezek lesznek a feladataid: -Folyamatautomatizációs fejlesztések végig vitele -Kapcsolattartás a fejlesztést igénylőkkel, az IT szervezettel és a managementtel -Fejlesztési dokumentáció megírása, kezelése ...

Real-Time Decision Making Using Machine Learning For Risk Assessments Ownership Of Risk Infrastructure For Instant ACH Cross-Functional Collaboration With Software Engineers, Data Analysts, And Data Scientists Designing New Rules And Refining ML Models Providing Support To Chargeback And Fraud...

Building and maintaining robust and scalable backend systems Tackling significant development tasks independently Contributing to project delivery Collaborating closely with the team on feature implementation and issue resolution Playing a key role in cross-team collaboration for platform building...

Designing and developing proof of concepts (PoCs) Demonstrating solutions to internal customers on a tight schedule Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)...