IT Talent Acquisition Specialist
Artemys
Recruit IT infrastructure professionals for Artemys, a digital transformation company. Lead sourcing and hiring while contributing to employer branding initiatives.
Open
ALTEN provides outsourced engineering, research and development, project management, and IT services for organizations across industries including aeronautics, automotive, banking, life sciences, construction, and consulting. Its international team of more than 57,400 employees works across nearly 30 countries on complex technical projects, helping clients develop technology, improve operations, and advance innovation.
Senior Scientific Data Architect and Data Modeler at ALTEN - Remote
Senior Scientific Data Architect and Data Modeler role at ALTEN, focused on life-science data. Design Snowflake and AWS platforms, semantic models, and FAIR data standards for global engineering and IT services.
Description
- Assess existing data landscapes, flows, and scientific sources across the life-sciences sector.
- Create enterprise data models for laboratory, research, and operational information, including centralized Data Products.
- Define semantic models, metadata standards, and data classification frameworks.
- Implement and further develop FAIR Data Principles and scientific data standards.
- Architect modern data platforms using Snowflake and AWS.
- Shape data architectures that span multiple business and scientific domains.
- Work closely with laboratory, R&D, IT, and Data Science stakeholders.
- Enable analytics, artificial intelligence, and Data Science use cases through harmonized data structures.
Requirements
- Bachelor’s or advanced university degree in Computer Science, Data Science, Bioinformatics, Mathematics, Natural Sciences, or a related discipline.
- At least eight years of experience in data architecture, data modeling, or enterprise data management.
- Professional background in pharmaceuticals, biotechnology, diagnostics, medical technology, or scientific research.
- Strong command of contemporary data architectures, data platforms, and data modeling practices.
- Practical experience with Snowflake, AWS, and SQL.
- Knowledge of Data Mesh, Data Products, metadata management, data governance, and FAIR Data Principles.
- Experience with Scientific Informatics, Laboratory Informatics, semantic layers, ontologies, or the Allotrope Framework is advantageous.
Benefits
- Flexible working hours and remote-work options to support work-life balance.
- Access to EGYM Wellpass.
- Company bicycle leasing program.
- Discounted green mobility options.
- IT communities that support knowledge sharing, professional growth, and networking.
- Permanent employment contract.
- Corporate benefits program.
- Team events.
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