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Design and maintain comprehensive solution architecture and technical design documentation, while delivering robust integration and backend solutions for enterprise applications and services...

As a Senior Consultant in digital health, you will play an active role in our go-to-market activities, business development, and the delivery of projects for healthcare clients....

Lead business development activities in field of AI and Data for Financial Services sector, including preparing client proposals and driving strategic initiatives....

• You specify customer requirements through workshops and interviews, define digital strategies and roadmaps
• You perform process analysis and optimisation, with a focus on end-to-end digitalisation, and support from prototype to implementation

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Ownership of architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines including retrieval strategy, chunking, indexing, and monitoring

• End-to-end SRE ownership for the Global Fabric service
• Incident ownership across the customer journey from detection to resolution
• Primary operational escalation point for CF-related incidents
• Escalation of complex technical issues and coordination of resolution activities

Build and maintain a transparent IT Service Portfolio that provides a reliable view of services, applications, ownership, and lifecycle status and enables informed portfolio decisions...

• End-to-end felelősség cloud és on-premise platformok architektúrájáért
• Cloud platformok tervezése és fejlesztése (AWS, Azure, T Cloud Public)
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• Build and maintain production-grade AI infrastructure using Infrastructure as Code (Terraform/CDK), monitoring, logging, and deployment automation
• Optimise the performance and cost efficiency of LLM workloads through autoscaling, caching, batching, and infrastructure right-sizing strategies

• Providing expert assistance in diagnosis of complex technical issues
• Supporting dealer network with quick solution finding of technical product issues
• Working closely with technicians of workshops and dealerships
• Supporting with repair instructions via specified communication channels

• You capture requirements from market units, group functions and projects and structure the relevant demand intake channels
• You analyze business needs and clearly distinguish between must-have requirements, wishes, exceptions and special solutions

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Integration delivery management
• Translation of business needs into technical requirements
• Stakeholder coordination
• Integration issue troubleshooting
• Integration documentation maintenance
• Live integration monitoring
• Partner performance and opportunity analysis
• Support for commercial partnership work

You assume overall strategic and operational responsibility for the international Service & Support organization of our EPG ONE Software Suite (WMS & MFC)....

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

• 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

CI/CD ownership: Own and evolve our shared GitHub Actions platform so it stays maintainable, reliable and easy to adopt across the team's repositories. Our stack is mainly Python, so you'll need a solid grasp of the Python packaging and tooling ecosystem. Occasionally you'll extend the platform to...

• Design and implementation of cloud infrastructure for SaaS and PaaS usage according to regulatory requirements and industry best practices
• Develop the hybrid cloud platform architecture blueprint (SAD), including network, identity, and security for Azure and AWS landing zones

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows