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• Administrative functions of the reception desk
• Handling incoming and outgoing calls
• Handling incoming and outgoing mail
• Directing customers and visitors inquiries

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Develop, formulate and implement sales strategy for the existing key accounts
• Work with cross functional teams to defend core business, and build profitable business at existing accounts with strong project management approach
• Create, develop and maintain strong relationships with key accounts

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Owning the quality architecture for the Scoring engine
• Building reliable automated coverage across UI, API, and deep service layers
• Operating as a power user of AI-first IDEs to scale test coverage
• Acting as an AI-First Test Engineer during PR reviews to enforce quality gates

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Lead testing strategy and execution across complex microservices and frontend/backend architectures
• Design, develop, and maintain robust test automation frameworks integrating into CI/CD pipelines

• Design the behavioural telemetry event and entity-state schemas and write the instrumentation specification
• Own the measurement standard including canonical definitions, naming, field ownership, versioned change control

• Taking end-to-end responsibility for all project stages including discovery, design, development and handover to support
• Understanding technology-related issues to deliver the best possible solution for clients
• Having high-level discussions on technical details with the team and the external client

• Design, implement, and operate IT infrastructure across on-premise and cloud environments (Azure)
• Ensure high availability, performance, and reliability of systems through proactive monitoring and optimization

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow
• Own foundational architecture and standards for how agents model releases and internal tools are evaluated and deployed internally

• 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

• 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

Coordinates the execution of MOL Group business, functional strategy in their department, focusing on areas performing core business functions....

Interact with customers / partners in a professional, friendly and efficient manner and escalate concerns about meeting service levels or deadlines...

Interact with customers / partners in a professional, friendly and efficient manner and escalate concerns about meeting service levels or deadlines...

• 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 complex ServiceNow solutions including system configuration and custom feature development
• Provision of advanced technical consulting and support quality assurance activities
• Ensuring adherence to implementation standards and technical best practices

• 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