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• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

YOUR RESPONSIBILITIES * You will shape and drive the evolution of Dr. Oetker's enterprise-wide Process Management Framework. In this role, you will be responsible for governance, standards, methods and the target operating model to ensure consistent process management. * Your responsibilities...

• Develop and refine MxR prototypes using Godot and C++.
• Implement new features for immersive clinical applications.
• Collaborate with engineers and surgeons to evaluate prototypes in real-world settings.

• You help clients achieve their data & AI ambitions on a variety of projects, including:
• Data/ AI Strategy & transformation: i.e., identifying value adding use cases, assessing client maturity and executing transformation roadmaps.

• 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.

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

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....

• 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

Design of custom objects, custom fields, pick list, role based page layouts, workflow alerts and actions, validation rules, approval processes, custom tabs, custom reports, report folders, report extractions to various formats, design of Visualforce pages, record types, dashboards, and email...

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

• 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

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups