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• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Ensuring the quality, integrity, and proper usage of data
• Enabling effective data & analytics governance practices for Roches Digital Backbone
• Maintaining metadata accuracy in the Finance Data Domain (e.g., Collibra, SAP Datasphere)

• Designing data pipelines
• Implementing data pipelines
• Testing data pipelines
• Optimizing data pipelines
• Automating data extraction, loading and transformation
• Developing automated data acquisition solutions
• Ensuring compliance with data security standards
• Analyzing data flows and processes

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Develop, extend, and optimize solutions within Microsoft Dynamics 365 F&O using X++
• Create and maintain data entities and implement integration patterns for reliable data exchange
• Build and maintain the scalable data solutions using Microsoft Fabric and Power BI

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

Design and fit the SAP BW/4HANA data warehouse architecture into the overall framework, including defining and maintaining data models, KPIs, and reporting standards, and developing SAC dashboards and reports tailored to business needs...

sound coding skills, particularly in Python, with proven experience in the development, implementation and further development of AI-based solutions and the responsible assumption of technical and specialist development tasks...

• Building and extending our Platform Services and Booking Systems
• Designing, developing, and maintaining a robust transactional API platform, that will be used internally and directly by 3rd parties
• Keeping up with the state-of-the-art of AI assisted development and applying it to everyday tasks

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

Where you belong: Where you belong: ...