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• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

• Define and further develop the Snowflake platform roadmap in alignment with enterprise data strategy and business priorities
• Establish the platform vision and manage priorities, demand intake and business requirements to maximize business value and support strategic objectives

• Ensure the stable operation, maintenance and business continuity of our APPlus ERP system.
• Provide 1st and 2nd level application support, troubleshoot issues and coordinate problem resolution with external software vendors.

Trusted Advisor: You guide our clients towards successful solutions to their data challenges. You'll lead design sessions, architecture reviews, proof-of-concept projects and evaluation of new data technologies and vendors....

Ownership of research direction across one or more product domains, identifying critical knowledge gaps and translating them into research questions and study plans...

• Define and prioritize features in close collaboration with marketing stakeholders and ensure alignment with business requirements, customer needs and the product vision
• Own the team backlog and continuously prioritize requirements to maximize business value

• Analyze and structure complex business requirements within SAP CPQ, SAP SD and related sales process landscapes
• Consult and support internal stakeholders in optimizing, harmonizing and further developing Quote-to-Cash processes

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• 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

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• 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

• Develop robust, reusable software components in modern C++
• Design APIs, interfaces, and software architecture
• Build and maintain workflows (build, packaging, deployment) and improve CI/CD with GitHub Enterprise/Actions

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

Test approach and ownership: Design and own the test approach for assigned tools, including risk-based scoping, test levels and acceptance criteria....

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.