Central engineer állások, munkák programozó, fejlesztő kategóriában

- Acquisition and conversion of textual corpora from diverse sources into a shared TEI schema - Refinement of the shared TEI schema and documentation as a TEI customization (ODD) - Supporting full-text digitization via OCR/HTR pipelines - Management of image collections - Modeling metadata for text...

• Research, design, and implement complex product features and functionalities for cutting-edge cloud technologies as part of SAP Business Technology Platform
• Commit to project timelines and tasks, deliver on time, in scope, and with high, uncompromised quality

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

• Development, maintenance, and operation of business-critical insurance applications on the IBM i platform using RPG (RPG III, RPG/ILE, RPG/Free)
• Ensuring stable, efficient, and secure operation of core systems
• 2nd-level support for IBM i applications

• Take an existing internal embedded development platform and port it to Zephyr RTOS as a proof-of-concept
• Create or extend lab setups involving various microcontrollers
• Explore the use of NPUs, DSPs, or other accelerators in RTOS-based systems

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Design, implement and operate scalable .NET backend services from idea and implementation to deployment, monitoring, optimization and production follow-up.
• Break down work into small, shippable pieces, estimate effort and update estimates as scope evolves.

Design, implement, and operate scalable web applications and services based on Java and Spring – from idea and implementation to deployment, monitoring, and optimisation in production....