Data állások, munkák egyetemi végzettséggel

Development and implementation of internal regulations and instructions in the field of health, safety and environmental protection...

• Review and verification of invoices for relevant documentation and approval before payment, formal and accounting verification of purchase invoices
• Independent and correct registration of purchase invoices in the books with the use of IT accounting systems

• Daily processing of GL/AP/AR transactions (with main focus on GL)
• Reconciliation of balance and nominal accounts. All deviations should be verified and explained
• Month-end closing for the chosen entity, reporting and verification of balance and turnover

• Review and verification of invoices for relevant documentation and approval before payment, formal and accounting verification of purchase invoices
• Independent and correct registration of purchase invoices in the books with the use of IT accounting systems

You enjoy running the acquisition of new business, maintaining of existing business and the proactive development of new customers....

Design various RESTful APIs and backend databases in multi region environment. Contribute into targeting engine and segmentation pipelines. Develop automations and tests to ensure system stability. Collaborate with various Engineering and Business teams on their needs. Drive innovation in Data...

- 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...

You will lead the Governance of the global Data Architect program by defining and continuously refining the operating framework that enables consistent execution worldwide. This includes establishing role definitions and RACI models, clarifying deliverables and effort expectations, aligning...

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

You teach fundamental knowledge with high practical relevance, e.g. for the topics bias assessment, societal impact, methodology evaluation, and responsible technology, and are responsible for correcting exams....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Lead the local team in developing new applications, ensuring that each phase, from design to coding, is executed with precision and quality. Oversee the installation and configuration of applications in various environments, ensuring a smooth and seamless transition for end users. Continuously...

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Legal Counsel mylife Diabetes Care is a global medical technology company focused on integrated solutions for people with diabetes. As a growing company, we are reshaping our organization with a clear strategy, ambitious growth goals, and plenty of room for personal responsibility. Join our dynamic...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...