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End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

• 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.

• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.

• Manage group-wide AI security initiatives and governance
• Consult local tech and security teams on information security and operational resilience
• Evaluate AI / information security risk for the group
• Strategically analyse threat and market intelligence

• Vállalati IT infrastruktúra architektúra megtervezése, fejlesztése és dokumentálása
• Infrastruktúrához kapcsolódó architektúra-elvek, standardek és technológiai irányok kialakítása és képviselete
• IT infrastruktúrára hatással lévő projektek folyamatos figyelemmel kísérése

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Integration of data ingestion, processing, transformation, and storage

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...

Work hand-in-hand with Senior Product Leadership. You will work closely with different PMs to align your roadmap with the broader company-wide AI strategy, while maintaining autonomy over your specific work-streams....

• Ownership and evolution of Cypress and TypeScript end-to-end automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• 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

• 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

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

• Új technológiák bevezetése
• Termékfejlesztési igények implementálása
• Rendszertervezés
• Tesztelés
• Dokumentálás
• Kapcsolódó alkalmazás- és interfészfejlesztésekben való együttműködés a társszervezőkkel
• Minőségbiztosítási feladatok támogatása

• Complex programming, testing and debugging functions related to the implementation of SAP modules
• Understanding requirements from provided functional designs and transforming them into technical designs
• Keeping contact with clients, functional teams, and designers

Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams...

Plan and manage change and enablement initiatives to effectively drive the transformation of support, service delivery, and IT operations teams across the organization...

• Owning CI/CD pipeline stability across MFT and MFT Enterprise
• Building and baselining Kubernetes-based on-premise deployment environment for MFT Enterprise
• Reducing single-resource dependency on infrastructure through documentation, cross-training, and automation

• Frequently communicate with various stakeholders of all levels.
• Execution and review of the Information Security (IS) Controls Framework monitoring process, ensuring comprehensive coverage of cloud infrastructure and AI/ML deployments.

Own and evolve our core dbt services - maintain CI/CD infrastructure, drive performance improvements, enforce quality standards, and support a large community of data practitioners building on top of it...