Data science állások II. kerületben középiskolai végzettséggel

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

Support Data Management Group with Bank account confirmation and maintenance related activities Handle vendor master data changes Communication with vendor via email and phone Update Master Data in SAP...

Adatrögzítés termékek, megrendelések és ügyféladatok pontos rögzítése számítógépen Iratkezelés dokumentumok rendszerezése, archiválása, előkészítése...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Management of marketing data across CRM, Snowflake, and other MarTech platforms with data accuracy, governance, privacy, and compliance standards Conducting advanced analysis and segmentation to support audience targeting, personalization, and data-driven decision-making across campaigns, events,...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Proactive collaboration in designing infrastructure and estimating, managing and optimising its costs Learning new technologies selected by the development team before implementation and release Supporting the development team by creating and managing new environments or services Creating or...

IT termék vagy alkalmazás backlogjának kezelése és priorizálása Üzleti és technikai követelmények összegyűjtése és pontosítása User story-k, functional specificationök és acceptance criteria-k készítése Folyamatos együttműködés fejlesztői és tesztelői csapatokkal Sprint planning, refinement, demo...