Sql fejlesztő állások Németországban (it programozás, fejlesztés)

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Development, maintenance, and operation of business-critical insurance applications on the IBM i platform using RPG (RPG III, RPG/ILE, RPG/Free)
• Ensuring stable, efficient, and secure operation of core systems
• 2nd-level support for IBM i applications

Product Strategy & Roadmap: You own the roadmap for the self‑service portal, data catalogue, and analytical workspaces—deciding what we build next, why it matters, and how success is measured....

• Design, implement, and manage document embedding storage solutions
• Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create
• and populate databases for our advanced chatbot applications

• Develop and maintain components and functionalities for our 3tier applications
• Ensure and constantly improve installability, portability, scalability and servicability of our products
• Deliver re-usable application components that help the organization to monitor and control our backend services

Being involved in all phases of software engineering, from inception to coding, testing, delivery, and operation. You enable a high degree of automation on every level; ...

• Support strategic discussions and product designs in the customer identity product area.
• Create and support the execution of the product roadmaps, with an outcome/ KPI-driven mindset.

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

• Ship clickable, working prototypes in AI-native tooling — Claude, Cursor, Replit, v0, Lovable, Figma Make, Bolt, or equivalent — within the same week an idea surfaces.
• Use prototypes as the discovery artifact. A working demo in front of a tenant beats a 12-page PRD every time.

• Execute, maintain and improve manual test cases in Azure DevOps, including updating test steps, logging defects, and verifying bug fixes through retesting.
• Support testing teams in preparing, configuring, and maintaining test equipment required for Component, Integration, and E2E testing activities.

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

• Engage in advanced Data Analytics to uncover insights and drive strategic decisions
• Work with state-of-the-art platforms like Microsoft Fabric to build robust data solutions and pipelines

• ensure that our Private Cloud landscape is equipped with robust, efficient, secure, and scalable custom developments.
• You will collaborate closely with functional experts, architects, integration teams, and business stakeholders to turn requirements into clean, stable, and maintainable SAP solutions.

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

Integrate AI into UX workflows: Identify practical AI use cases for UX Research, Data Analytics, and Design; evaluate tools and operationalize workflows with cross-functional teams....