Analytics állások XXIII. kerületben (projektmenedzsment)

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,...

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,...

• building and maintaining strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities
• collaborating with product managers, data scientists and engineers to translate client needs into actionable AI solutions

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...

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,...

Use AI-assisted development as a core engineering approach to accelerate delivery, improve code quality, and reduce operational toil—while ensuring strong human review, test coverage, and controlled releases Own delivery of cloud-scale infrastructure and automation capabilities from design through...