Data állás, munka

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• 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

Solution Design: Architect finance-related solutions aligned with business and technical requirements across platforms such as SAP S/4HANA, Kyriba, Accelya, Skymetrix, Navitaire, and Dynamics AX....

• Ensuring the completion of development tasks to support the new release of projects/solutions.
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress

• 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

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 Collaboratively working to provide technical solutions and implement new software features...

Partner with Product Owners, project managers, and stakeholders to translate business needs into well-designed CRM capabilities. Build and enhance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow-first automation. Design and implement scalable Salesforce applications across...

Design, prototype, and refine LLM-based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...

Design and implement agent‑to‑agent communication patterns and multi‑agent collaboration workflows. Integrate LLMs, RAG pipelines, and external APIs/tools into end‑to‑end agent systems. Develop, test, and iterate on orchestration logic (routing, planning, tool selection, error handling, and...