Program állások, munkák it programozás, fejlesztés területen

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Build and operate deployment pipelines for AI services covering CI/CD, infrastructure-as-code, environment promotion, and rollback
• Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production

• End-to-end allocation and vendor management process ownership
• Allocation management across the project portfolio
• Handling incoming staffing requests from the sales pipeline
• Coordination with Service Lines for internal capacity or subcontractor needs

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality

• Owning net-new pipeline and revenue across the service lines
• Running and sharpening the outbound engine
• Managing and developing an SDR
• Refining sequences and account-based plays
• Keeping the tooling stack tuned with an external GTM partner
• Setting the bar for activity and conversion

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations
• Diagnosing business problems and structuring solutions
• Building ROI cases to secure client sign-offs

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Risk classification and residual risk handoff for application domain
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation partnership
• Design and implementation of compensating controls for vulnerabilities

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Management of big data, cloud engineering, and machine learning projects for EMEA customers
• Leading end-to-end customer projects from kick-off to project closing
• Managing project and team day-to-day operations
• Handling customer communications and resolving escalations

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• Strategic roadmap development for legacy SaaS migration of multiple platforms
• Program governance including execution monitoring and status reporting
• Cross-functional leadership across engineering, product management, and go-to-market teams

• Designing and delivering engineering solutions for our businesses and customers
• Providing production engineering services that keep our technology safe, stable and reliable
• Analysing business data within Deutsche Bank to shape plans and delivery

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Own audit cycles end-to-end for ISO 27001, SOC 2, and TISAX, expanding scope as certifications mature.
• Answer security questionnaires for customers and OEMs alongside the GTM team, turning fast and accurate answers into a real edge in deals.

Lead a Secure by Design transformation within the product organisation of a DAX 30 client, involving over 100 engineers, more than 20 product teams and a 18-month roadmap. You will be responsible for the target architecture, the rollout plan and the communication with the CISO and CTO....

• Ownership of end-to-end data migration workstream within SAP S/4HANA implementation and conversion programmes
• Definition of migration strategy, roadmap, scope, governance model and delivery approach
• Leading migration activities across the Explore, Build, Test, Cutover and Go-Live phases

You take full ownership of the end-to-end SAP S/4HANA transformation program, covering business process redesign, IT transformation, carve-out activities, and the establishment of dedicated legal entities....

Definition and implementation of innovative measurement technology and its integration, testing and documentation for production facilities and test setups...