Sql állások Németországban (it programozás, fejlesztés)

Act as a Business Analyst within the Order Fulfilment (OF) workstream, managing end-to-end processes including sales orders, project creation, delivery, invoicing, and closure;...

• 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.

• Design, develop, test, deploy and maintain software in a thriving environment
• Manage individual project priorities and deliverables whilst working in a team who enjoy knowledge sharing sessions

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy, and maintain software in a thriving environment.

• 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

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

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....

As Golang Engineer (m/f/d) in the Product Team Order Management Services you are responsible for the agile development of fast, scalable and reliable, mostly data-heavy services as well as modular and reusable components of the current and future e-commerce platform...

Your SQL skills are second to none when it comes to translating operational and strategic requirements in Daily Banking into smart data solutions. With your analytical mindset, you refine data outputs and deliver precise answers to complex questions....

• Own and execute the full IT audit cycle, covering risk and control management to ensure operational effectiveness, system reliability, and compliance with all relevant regulations and directives
• Support the definition of internal audit scope and contribute to the development of annual audit plans

• Contribute to the implementation of our Product Analytics strategy and support the Business Insights vision across product areas.
• Support product discovery streams with data-driven insights and recommendations.

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...