Data specialist állások Kerepesen (it programozás, fejlesztés)

• Build and maintain strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities.
• Collaborate with product managers, data scientists, and engineers to translate client needs into actionable AI solutions.

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...

Steer and drive the high-level technology direction of Datapao, including how projects are delivered, solutions built, scaled, and technical teams enabled Oversee the technology strategy of Datapao, including key technical areas, projects, capabilities, standards, and roadmaps; align them with...

Crafting innovative solutions through requirements analysis, constructing workflow charts, and drafting precise specifications Transforming business requests into actionable development plans, user stories, and robust acceptance criteria Guiding projects from concept to seamless implementation,...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Join a client service team for 8-10 weeks Contribute to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy Create actionable plans that drive real change Work alongside clients and McKinsey colleagues Combine research, data analysis, interviews, and...

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...

Translating business needs into scalable AI solutions Developing enterprise-grade AI solutions Working effectively in a collaborative, multi-disciplinary, and global team environment...

Szoftverfejlesztési projektek teljes életciklusának vezetése (A–Z) és párhuzamos projektek priorizálása Sprintek, mérföldkövek és határidők menedzselése Ügyféligények feltárása és funkcionális specifikációk készítése Folyamatok modellezése és change requestek kezelése Elkészült mérföldkövek...