Design coordinator állások Budapesten (projektmenedzsment)

• Lead end-to-end delivery of Cloud and AI enablement programmes, managing timelines, risks, and resources.
• Act as the subject matter expert for Cloud and AI solutions, providing guidance to technical and non-technical stakeholders.

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Lead and oversee the day-to-day operation of the Java backend team Continuously monitor overall project health by reviewing and improving development best practices and delivery processes across ongoing Java projects Take on line management responsibilities, supporting the team’s well-being, growth...

Design, develop, and maintain scalable backend services using Node.js, JavaScript, and TypeScript. Build secure and performant RESTful APIs and microservices architecture. Contribute to system architecture discussions and lead technical decision-making. Apply Test-Driven Development (TDD) and...

Implement, configure, and optimize SAP eWM solutions in S/4HANA Public Cloud (and Private Cloud where applicable) Drive global rollout activities, including fit-to-standard workshops, template localization, testing, and deployment Design warehouse processes such as: Inbound/Outbound processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...