Data engineer állások, munkák rendszerintegrátor kategóriában

Az elfogadói fizetési szolgáltatásokat biztosító végponti (POS, SoftPOS, e-commerce, API-alapú) és elszámolói alkalmazások integrációs folyamatainak tervezése és szakmai támogatása....

• Az üzleti igények teljes körű elemzése és azok átfordítása funkcionális specifikációkká és rendszertervekké.
• End-to-end részvétel IT fejlesztések megvalósításában az igények felmérésétől a tervezésen és fejlesztés támogatásán át a tesztelésig és bevezetésig.

• Building a software infrastructure with carrying out new initiatives and providing support to the related systems, applications and other solutions.
• Continuously improve Data management

Who we are? As the top Swiss e-commerce platform, with a crew of over 3'200 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re...

• 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

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

adesso stands for IT excellence and therefore also for excellent development opportunities for all adessi. We grow together and learn from each other - on our projects, as a team and with outstanding training opportunities. We have IT at heart, the industry at heart and the success of our customers...

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.