Data science állások, munkák it programozás, fejlesztés területen

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Define and implement cloud infrastructure and observability tooling - Be a passionate software developer
• Support and development of complex and innovative shared development utilities
• Create and maintain automation processes
• Implement cloud services - Develop holistic software modules

• Serve as the technical lead and go-to expert for Salesforce Service Cloud across the organization
• Provide expert guidance on platform capabilities, limitations, and best practices to product and development teams

• Serve as the technical lead and go-to expert for Salesforce Service Cloud across the organization
• Provide expert guidance on platform capabilities, limitations, and best practices to product and development teams

• Serve as the technical lead and go-to expert for Salesforce Service Cloud across the organization
• Provide expert guidance on platform capabilities, limitations, and best practices to product and development teams

• Folyamatos kapcsolattartás az üzleti terület és IT képviselőivel
• Rendszerszervezési tudást igénylő szakmai feladatok végrehajtása és dokumentálása
• Komplex szakértői közreműködés dokumentációk és folyamatábrák készítésében

Collaborate with the Website Business Owner to define and communicate evangelize a clear product vision and strategic roadmap for our decoupled frontend applications, ensuring alignment with brand identity and commercial targets....

Collaborate with the Website Business Owner to define and communicate evangelize a clear product vision and strategic roadmap for our decoupled frontend applications, ensuring alignment with brand identity and commercial targets....

• Building complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Taking part in significant international transaction projects
• Collecting, researching and analyzing data related to the client’s business operations

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Ensure state of the art testing across embedded, backend, and frontend domains to ensure high quality software products
• Create the test approach based on business and technical objectives
• Develop the test automation framework in close collaboration with other experts

• Provide end-to-end leadership across projects within the ISP.
• For the various projects, define target application landscapes, integrations, data flows, lifecycle management, and system dependencies.

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data