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• Laravel alapú belső rendszerek fejlesztése és üzemeltetése
• Backend funkciók tervezése, implementálása és optimalizálása
• API-k fejlesztése és integrálása
• Együttműködés a frontend csapattal

• Magas rendelkezésre állású, elosztott rendszerek üzemeltetése
• Linux szerver alapú operációs rendszerek naprakészen tartása
• Meglévő folyamataink automatizálása
• Saját alkalmazásaink rendelkezésre állásának biztosítása
• DevOps technológiák megismerése, új ötletek megosztása a csapattal

• Belső platformok és üzleti rendszerek fejlesztése
• ERP, webshop, CRM és egyéb rendszerek integrációja
• REST API-k tervezése és fejlesztése
• Adatmodellek kialakítása és optimalizálása
• SQL / PostgreSQL adatbázisok kezelése
• CSV, XLSX, XML és JSON alapú adatfeldolgozás

• Üzleti alkalmazások operatív támogatása: jogosultság-beállítás, működési kérdések megválaszolása, hibajegyek önálló kivizsgálása és lezárása
• Komplex SQL lekérdezések és pontos, biztonságos adatjavító scriptek írása éles adatbázison (MS SQL/ MySQL / Firebird / PostgreSQL)

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• Audit and assess the current state of data across the organization (sources, quality, accessibility, consistency)
• Design and implement a coherent data architecture – system integration, data warehouse / data lake, pipelines
• Define data governance standards, data quality processes and ownership

What awaits you? •Work environment – you work at the Communication Center located within the BMW Group Plant Debrecen, in a modern, digitalized, open office-style environment, together with other office employees and your direct teammates. The Communication Center is a state-of-the-art office space...

Where you belong: Where you belong: ...

• Definition and execution of the MDM transformation roadmap, transitioning from a complex carve-out environment to a streamlined PE-backed operating model
• Establishment of a scalable and pragmatic MDM framework aligned with business priorities

PhD Candidate in Clinical AI, Data Privacy and Large Language Models In the School of Engineering and Computer Science we don't move with the times, mostly we are a bit ahead of them! We find it fascinating what benefits technology can have in people's everyday lives. We gain knowledge through...

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

• Investigate and resolve data inconsistencies across complex end-to-end data pipelines
• Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
• Debug pipeline failures and improve overall pipeline robustness

Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts...

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• 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

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

You provide technical and disciplinary leadership for an architecture team of around 10 software and security architects, including senior subject-matter experts (databases, performance, security, cloud, and integration), and you grow, align, and deploy them where they have maximum impact....

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.