Database administrator állások, munkák programozó, fejlesztő kategóriában

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• ML-based Forecasting & Pricing: Lead the development of machine learning models for inventory forecasting and pricing strategies.
• Data Management: Drive data integration, quality, quantification, and enrichment of inventory data.

• Define, implement, and execute software test strategies, plans, and test scenarios.
• Develop detailed test specifications in close collaboration with the software development team.
• Design, develop, and maintain automated software test systems, including both hardware and software components.

• Development and maintenance of frontend and backend components of web-based applications
• Implementation of user-facing features using modern web technologies and integration with backend services and APIs
• Building and maintaining backend services using C# and .NET

• Design and optimise scalable data pipelines and ETL processes using Snowflake, ensuring reliable, high-quality data for analytics and business reporting.
• Take a leading technical role in advancing our data governance capabilities, promoting best practices for data quality or master data management.

• Data ingestion processes from various sources into the Data Lake
• Design, development and optimization of complex data pipelines for reliable data flow
• Build, development and maintenance of frameworks facilitating construction of data pipelines

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Új technológiák bevezetése
• Termékfejlesztési és szolgáltatási igények implementálása
• Rendszerintegrációk megvalósítása
• Rendszertervezés
• Tesztelés
• Dokumentálás
• Együttműködés solution architektekkel és rendszerszervezőkkel alkalmazás- és interfészfejlesztések terén
• Minőségbiztosítási feladatok támogatása

• Maintenance and enhancement of various Python scripts
• Development of modules for data collection from multiple sources, data processing, and storage in SQL databases
• Development of scripts and modules for data analysis and visualization

• Design and build report templates in Jaspersoft Studio, working on real, production reports for clients in private equity and private capital
• Work side-by-side with Jasper Report Engineers on daily reporting challenges, gaining hands-on experience with the full report development lifecycle

You will build software for SAP Cloud Integration, which is SAP's strategic integration platform. You will design, build, and deliver new features, with a growing focus on integrating AI into our product. This includes enhancing existing AI capabilities and applying AI to new use cases. You will...

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Work with Product Line Leaders to understand product requirements and vision
• Translate requirements and vision into prioritized list of user stories and deliver to required timelines and quality standards

• 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