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ALTEN
ALTEN
Sponsor pentru viza H1BConstrucțiiConsultanțăIndustria auto
ALTEN oferă servicii externalizate de inginerie, cercetare și dezvoltare, management de proiect și tehnologia informației pentru organizații din domenii precum aeronautica, industria auto, sectorul bancar, științele vieții, construcțiile și consultanța. Echipa sa internațională, formată din peste 57.400 de angajați, lucrează în aproape 30 de țări la proiecte tehnice complexe, ajutând clienții să dezvolte tehnologii, să își îmbunătățească operațiunile și să stimuleze inovarea.
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Senior Scientific Data Architect and Data Modeler

Senior role focused on modeling scientific and life sciences data for ALTEN. Build Snowflake and AWS data platforms, semantic models, and FAIR-aligned data standards.

DEGermaniaRemoteNormă întreagăSeniorLimbă Obligatorie: germanăInginer de date
AWSLimbaj de asamblareSQL

Descriere

  • Assess existing life sciences data landscapes, flows, and scientific sources
  • Create enterprise data models for laboratory, research, operational data, and core Data Products
  • Define semantic models, metadata standards, and data classification frameworks
  • Implement and advance FAIR Data Principles and scientific data standards
  • Architect modern data platforms using Snowflake and AWS
  • Design data architectures spanning multiple business domains
  • Work with laboratory, R&D, IT, and Data Science stakeholders
  • Enable analytics, AI, and data science applications with harmonized data structures

Cerințe

  • Degree in Computer Science, Data Science, Bioinformatics, Mathematics, Natural Sciences, or a comparable discipline
  • Eight or more years of experience in Data Architecture, Data Modeling, or Enterprise Data Management
  • Professional experience in pharmaceutical, biotechnology, diagnostics, or laboratory settings
  • Strong understanding of modern data architectures, platforms, and modeling practices
  • Hands-on experience with Snowflake, AWS, and SQL
  • Knowledge of FAIR Data Principles, Data Mesh, Data Products, Metadata Management, and Data Governance
  • Experience working with semantic layers, ontologies, and scientific data models
  • Knowledge of Scientific Informatics, Laboratory Informatics, or the Allotrope Framework is advantageous

Beneficii

  • Flexible working hours with remote work available
  • EGYM Wellpass membership
  • Company bicycle leasing program
  • Discounted green mobility options
  • IT communities supporting knowledge sharing, development, and networking
  • Permanent employment contract
  • Corporate Benefits program
  • Team events

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