Data állások, munkák it programozás, fejlesztés területen

• You manage the business-critical applications landscape, including ERP / Dynamics 365, CRM, analytics, automation and integrations.
• You define the digitalization roadmap and identify pragmatic AI and automation opportunities.

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

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Mentoring and collaboration: You will support and guide colleagues in development and research activities.
• Algorithm design: You design innovative compression algorithms, implement them as efficient software, and perform careful evaluations.

• Management and development of a team of 0 to 1 direct reports
• Support of business migration and transition into core company ERPs such as SAP S/4 Hana and E1 with emphasis on manufacturing module migration

• Translation of the company's commercial and digital strategy into actionable digital sales initiatives
• Ownership and monitoring of the digital share of B2C commercial results
• Shaping and maintaining the digital sales roadmap in alignment with business priorities

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

• Drive the development and continuous improvement of CRM and other tools used in Technical Support, with CRM as the primary focus.
• As a member of the CRM Panel, gather and structure requirements and turn them into practical improvements together with process owners and IT.

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Drive core banking transformation: Lead the strategic implementation and seamless integration of our next-generation Core Banking engine within N26's global architecture....

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

• Define and design the architectural standards for scalable cloud solutions, including data pipelines, APIs, and analytical tools.
• Oversee the integrity and performance of all SCM AI models and cloud applications, steering continuous enhancements and optimization.

• Supporting and consulting our product lines in implementing required product and solution security practices
• Acting as the primary security point of contact for product teams during development, project execution, and service operations

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• Frequently communicate with various stakeholders of all levels.
• Execution and review of the Information Security (IS) Controls Framework monitoring process, ensuring comprehensive coverage of cloud infrastructure and AI/ML deployments.

• Deployment, configuration and management of Atlassian products (JIRA Service Management, Confluence, Jira)
• Design and implementation of CI/CD pipelines for automated deployments and integrations
• Maintenance and improvement of system reliability, scalability and security

Where you belong: Where you belong: ...

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD