Technical állások XI. kerületben (it programozás, fejlesztés)

• műszaki szerviz operáció teljes körű irányítása
• field service, refurbishment és kapcsolódó szolgáltatási folyamatok koordinálása
• vezetői csapat és technikai szervezetek támogatása
• napi szintű partnerkommunikáció multinacionális ügyfelekkel
• riportálás hazai és nemzetközi vezetők felé

• 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

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

• act as process owner of data management regulations and ensure proper fulfillment of defined roles and responsibilities including its enchancement according to business requirements
• support the operation of data management processes and continuously monitor data quality

• 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 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

• 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.

Your responsibilities will include • Think and work together in a self-organizing agile team • Contribute to planning, development and test the software functionalities • Cooperate with the international customers and colleagues...

Work with feature teams to deliver complete components for broader platform integration while performing development on the Lending Operations Technology stack for both strategic initiatives and user-requested enhancements. ...

• Design, develop, and maintain scalable Java/Spring Boot microservices with secure access using Spring Security.
• Build and operate event-driven systems with Confluent Kafka, ensuring high availability and performance.

• 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.

• 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.

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.

• Take full responsibility for the successful delivery of assigned projects from idea generation through planning, approval, procurement, execution, monitoring and handover
• Prepare project roadmaps and detailed action plans; continuously monitor progress and ensure projects remain on track

• understand relevant target architectures (if available until the PoC starts)
• understand and contribute to QA of Business Concept
• elaborate high-level solution options so that relevant alternatives are on the table

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• 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

Own end-to-end design projects, delivering comprehensive solutions from user requirements and information architecture to task flows, wireframes, and high-fidelity, production-ready interfaces....

• 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

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....