Data analyst állások XI. 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,...

Strategic backlog and scope ownership Roadmap, vision and data strategy Stakeholder management and ambiguity navigation Quality and built-in engineering excellence collaboration Operational readiness and 3rd line support oversight...

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...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

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...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Setting the strategic direction for IT & Cyber Risk product area Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform Partnering with engineering, design, data science, and senior leadership to build products for CISOs, risk managers, and boards Shaping...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation Leading engineering for strategic products with design, delivery, and quality across multiple agile teams Defining technical strategy, system architecture, and integration of AI/ML-powered components...

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...