Senior data analyst állások XXII. kerületben (projektmenedzsment)

Shape engineering strategy with broad organizational impact — influence long-term architectural direction across multiple teams and products. Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern...

Champion the design and delivery of secure, high performance microservices on AWS, owning services end-to-end from code to deployment and monitoring. Set technical direction across multiple teams by spotting system pain points, simplifying architectures, and driving meaningful improvements. Shape...

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,...

Design, develop, test, document, and deploy high quality Salesforce solutions, leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns Analyze client specific requirements and define data model to support the business, reporting and...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Szoftverfejlesztési folyamat ismerete Részletes funkcionális specifikáció írása egyedi szoftver fejlesztéséhez Szoftverfejlesztők üzleti támogatása a fejlesztési feladatok során Az elkészült szoftvertermék manuális tesztelésében való jártasság...

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,...

Design, prototype, and refine LLM-based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...