Data állás, munka

Szoftverek fejlesztése, tesztelése, hibajavítása és dokumentálása....

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Partner with Product Owners, project managers, and stakeholders to translate business needs into well-designed CRM capabilities. Build and enhance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow-first automation. Design and implement scalable Salesforce applications across...

Support Product Owners, project managers, and stakeholders by helping translate business needs into well-designed CRM capabilities. Build and enhance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow-first automation under the guidance of senior developers. Assist in...

Lead end-to-end data and ML products across a global organization Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services Design and deploy advanced scoring engines for Leads and Opportunities Lead development of Marketing Mix Modeling (MMM) and...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Designing and developing proof of concepts (PoCs) and demonstrating the solution to internal customers on a tight schedule Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes to build PoC Take GenAI and Agentic AI solutions from concept to...

• Az adatbázis- és adatfolyam-fejlesztésekhez kapcsolódó üzleti igények és koncepciótervek elkészítésének támogatása
• Az elkészült specifikációk alapján adatmodellek tervezése, üzleti szempontrendszer implementálása
• Adatmodell-töltési folyamatok tervezése és a szinkronizáció biztosítása

Microsoft Word alapú sablonok karbantartása, módosítása Kapcsolódó dokumentációk elkészítésében való részvétel Dokumentum sablon tesztek megtervezése és végrehajtása Ügyfelekkel való egyeztetés és kapcsolattartás...

• AI-alapú termékeink és backend rendszereink fejlesztése, karbantartása
• API-k (FastAPI, Django REST) tervezése és implementálása
• Adatbázis-struktúrák és architektúrák kialakítása (PostgreSQL, ORM-ek)
• Adatbázis-tervezés és optimalizálás (SQL / NoSQL)

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Translate business requirements into clear technical plans, communicating risk/impact crisply....

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...

Design, train, and optimize machine learning models for real-world applications. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment. Collaborate with data engineers and software developers to integrate ML models into...

Digitalisierung aktiv mitgestalten Arbeitsprozesse analysieren Spannende Projekte planen Weiterentwicklung digitaler Geschäftsmodelle beteiligen IT-Bedarfe ermitteln IT-Systeme optimieren IT-Lösungen erfolgreich neu entwickeln Ökonomisch-betriebswirtschaftliche Perspektive anwenden...