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• Planning and leading the technical implementation of ServiceNow solutions including system configuration and development of custom features
• Architecting and designing scalable and robust ServiceNow solutions
• Providing advanced technical consulting and support quality assurance activities

• Implementation of new or maintenance of existing business solutions in SAP FI/CO module
• Provision of functional expertise, guidance, and instruction on SAP processes
• Proposal, configuration, and documentation of test business solutions according to requirements

• Odoo-modulok fejlesztése és testreszabása Python 3, XML, HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Design, configure, and enhance SAP PP (Production Planning) processes in S/4HANA Public Cloud
• Participation in S/4 rollouts, ensuring consistent global template adoption and local fit-to-standard workshops
• Support clients in implementing best-practice production processes

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Working closely with architects to communicate, align and implement architecture direction
• Aligning with other tech leads to ensure technical consistency

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

• 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

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• Drive product features end-to-end with sleek, responsive UI improvements and seamless backend integration
• Leverage agentic coding assistants and AI workflows to accelerate delivery and automate engineering tasks

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation of Azure cloud infrastructure to support Databricks and data platform workloads
• Management of Azure cloud infrastructure to support Databricks and data platform workloads

Performing tasks related to the position....

• Implementation, configuration, and optimization of SAP eWM solutions in S/4HANA
• Driving global rollout activities including fit-to-standard workshops, template localization, testing, and deployment
• Collaboration with MM, SD, TM, and PP teams on end-to-end logistics flows

• Implementation of new or maintenance of existing solutions specialized in one or more SAP modules
• Provision of functional expertise, guidance, and instruction on SAP processes
• Proposal, configuration and testing of business solutions according to requirements

• Act as the link between business stakeholders and technical teams translating business requirements into clear ServiceNow solutions
• Support clients in process analysis optimization and documentation in alignment with ServiceNow best practices

• Owning the solution end to end for defined problems
• Designing, building, and shipping working software using AI agents
• Shaping the approach to solve problems using AI agents in parallel
• Directing AI agents and rigorously reviewing their output

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaboration with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions