Data állás, munka

• Komplex nagyvállalati adattárházak és üzleti intelligencia megoldások tervezése és fejlesztése.
• Oracle adatbázisok, adattárház-komponensek és ETL folyamatok fejlesztése, optimalizálása.

Design and Implement Scalable Data Architectures. Architect end-to-end data solutions that support ingestion, storage, processing, and analytics for both customer and machine data....

• Designing and developing data models, Power BI reports and dashboards as a member of the Process Improvement & Automation team.
• Creating, optimizing and maintaining Excel macros and VBA solutions.
• Integrating various data sources (SAP, NAV, APIs, databases, Excel/CSV inputs).

• Develop and modernize .NET‑based MES components.
• Build integration with industrial systems (EBS, PI, LIMS, PLCs).
• Troubleshoot production issues and ensure system stability.
• Contribute to architectural decisions and modernization projects.

• Skálázható adatpipeline-ok és infrastruktúra tervezése vállalati ML rendszerekhez
• ML modellek és rendszerek éles (production) környezetbe történő implementálása
• Együttműködés data scientist-ekkel és szoftvermérnökökkel

• Coordinate and support DLP projects on a day-to-day basis
• Track project progress and prepare status reports
• Organize, prepare, and document meetings (incl. summaries)
• Prepare decision-support materials for project leadership
• Align different project streams and coordinate stakeholders

• ​Design and Build: Develop robust Power BI dashboards and data models (using DAX and Power Query) to replace legacy manual reporting.
• ​Automate Workflows: Eliminate repetitive manual tasks and excel-based processes using the Power Platform (Power Automate, Power Apps), VBA, or Python.

• Cybersecurity Analyst
• Cloud Engineer
• AI Engineer
• Data Engineer
• Functional or Application Analyst

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

• Design end‑to‑end application architectures aligned with enterprise architecture principles, standards, and strategic directions.
• Translate business requirements into robust, scalable and compliant solution designs covering applications, integrations, and supporting technologies.

• Docker and Docker Compose
• Service packaging and environment consistency practices
• Jenkins or Bamboo pipelines
• Nexus artifact repositories
• Maven builds in the Java ecosystem
• Ansible for provisioning and configuration
• Python or other scripting languages for automation tasks

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• 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.

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

■ Conduct experimental work in a team of researchers. ■ Modify existing test rigs and conduct measurements. ■ Implement and develop models and features within a multi-phase numerical simulation tool. ■ Perform CFD simulations of metal-fuel processes. ■ Post-process and analyze data. ...

Detailing the solution design in close cooperation with our solution architects Creation of SAP-BW data flows, data models and CDS views Extractor creation/development to SAP and non-SAP applications Implementation of smaller routines in ABAP Creation of programming requests for our internal...

• Conduct empirical and theoretical interdisciplinary research on legal question answering in German laymen questions
• Design and execute state-of-the-art NLP experiments and user studies
• Independently analyze qualitative and quantitative data

Senior SAP BTP & Cloud Integration Developer (f/m) 100% About Franke We, the Franke company with its three divisions, are a world's leading supplier of products and services for domestic kitchens, the professional foodservice systems and the convenience store sector as well as for professional...

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

Collaborate with system architects to contribute to the design of a secure and scalable service platform architecture, considering factors such as data integrity, confidentiality, and regulatory compliance....