Fujitsu

About the Company

We bring certainty to the unknown. Through Uvance Wayfinders, we leverage cutting-edge technology to empower our customers to build confidence and set their paths forward. This collaborative journey enables a knowledge ecosystem that delivers better outcomes for businesses, society and the planet, creating a brighter and more sustainable future. Join us on this journey of Wayfinding for new potential.

Listed Jobs

Company Name

Fujitsu

Job Title

Security Technician

Job Description

Job Title: Security Technician Role Summary: Provide continuous cyber‑security monitoring and support for SOC sensors and network infrastructure, including triage, fault rectification, and incident escalation across all shift hours. Expectations: Shift‑based operation; 24x7x365 support; eligibility for security clearance; proactive collaboration with field engineers and cross‑functional teams to resolve hardware and network faults. Key Responsibilities: - Monitor and analyze SOC sensor alerts and network traffic. - Triage and remediate security and infrastructure incidents. - Coordinate with field engineers for hardware fault resolution. - Escalate major incidents per established protocols. - Maintain day‑to‑day management of security enforcing devices inside and outside normal hours. - Document incident responses and maintain accurate logs. Required Skills: - Experience in service operations and event/infrastructure monitoring. - Solid understanding of network devices (switches, routers). - Strong verbal and written communication. - Ability to build collaborative relationships across teams. - Problem‑solving and decision‑making under shift conditions. Required Education & Certifications: - Relevant IT or networking qualification (e.g., CompTIA Network+, CCNA). - Eligibility for and willingness to undergo security clearance.

Bracknell, United kingdom

On site

25-12-2025

Company Name

Fujitsu

Job Title

Research Intern

Job Description

**Job Title** Software Engineering Intern – Visual Model‑Building Platform for Earth Science **Role Summary** Assist in developing a low‑code, visual platform that enables domain experts to design, configure, and execute Earth‑science machine‑learning workflows. Focus on software architecture, developer experience, and integration with existing ML infrastructure. **Expectations** - Highly motivated student or recent graduate pursuing or holding a degree in Computer Science, Software Engineering, or related field. - Ability to work independently and in a collaborative, cross‑functional team with climate scientists and ML researchers. - Strong drive to prototype and iterate on user and developer experience. **Key Responsibilities** - Design and implement a block‑based visual programming interface for composing Earth‑science modeling workflows. - Build backend pipelines that convert visual definitions into executable machine‑learning processes (data ingestion, model configuration, training, inference, evaluation). - Create modular abstractions for common modeling components (datasets, preprocessing steps, models, losses, metrics). - Integrate user‑defined workflows with existing ML frameworks and compute environments. - Collaborate with domain experts to validate real‑world use cases and refine platform functionality. - Iterate on development and user experience, ensuring usability for non‑programmers. **Required Skills** - Proficiency in Python; experience building modular systems or data pipelines. - Familiarity with front‑end technologies (React, TypeScript, or similar) and/or workflow/orchestration tools. - Understanding of machine‑learning concepts and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit‑learn) is a plus. - Strong problem‑solving, analytical, and communication skills. - Ability to prototype rapidly and adapt to evolving requirements. **Required Education & Certifications** - Current enrollment in or recent completion of a bachelor’s or master’s degree program in Computer Science, Software Engineering, or a related discipline. - No additional certifications required.

United states

Remote

Fresher

07-01-2026

Company Name

Fujitsu

Job Title

User Documentation & Training Specialist – Digital & AI Solutions

Job Description

**User Documentation & Training Specialist – Digital & AI Solutions** **Role Summary** Supports end-user adoption of digital and AI solutions through structured documentation, training, and workshops, ensuring seamless integration into business operations. Focuses on AI-enabled tools, including large language models (LLMs), across large institutional settings. **Expectations** - Minimum 1 year delivering AI-focused training/workshops in corporate environments. - Minimum 1 year supporting AI adoption in institutional contexts. - Proven hands-on experience with AI prompt engineering and business-oriented AI tool implementation. **Key Responsibilities** - Develop and maintain user manuals for digital/AI solutions. - Create and manage web-based documentation (websites, wikis, knowledge bases). - Design and deliver training/workshops on AI and digital technologies. - Collaborate with stakeholders to define AI use cases and integration strategies. - Facilitate adoption of AI/LLM tools in business workflows and daily operations. **Required Skills** - AI user enablement and training delivery experience. - Proficiency in presentation tools (e.g., PowerPoint). - Advanced MS Office skills. - IT support experience for business users (1+ year in office automation). - Organizational skills for workshops and training programs. **Required Education & Certifications** - Bachelor’s or master’s degree (EQF Level 7 or 8). - No certifications explicitly required; preferred knowledge of IT security standards (ISO 27001, NIST) and data protection experience.

Brussels, Belgium

On site

Fresher

12-01-2026

Company Name

Fujitsu

Job Title

Data Warehouse & Reporting Developer (Data Governance & AI Risk)

Job Description

Job Title: Data Warehouse & Reporting Developer (Data Governance & AI Risk) Role Summary: Design, implement, and maintain data warehouse solutions with a focus on data quality, governance, and AI risk compliance. Own processes that ensure data integrity, lineage, and security while supporting AI ethics and regulatory adherence. Expectations: Deliver high‑quality, compliant data assets; lead governance initiatives; ensure GDPR and AI Act compliance; collaborate cross‑functionally; and provide technical documentation and training. Key Responsibilities - Design and automate data quality and health monitoring pipelines. - Develop, deploy, and configure data warehouse environments (SQL/PostgreSQL/NoSQL, ETL, OLAP). - Lead Data Governance programs: quality, lineage, metadata, catalogue management, and observability. - Manage GDPR and personal data protection controls, access control, security, and logging. - Drive AI Governance: ethics, fairness, and AI Act compliance. - Contribute to data and AI risk management frameworks. - Support project teams with data architecture, documentation, and best‑practice guidance. - Provide training and promote a culture of data stewardship. Required Skills - Proven experience in data governance, quality, lineage, and metadata tools. - Strong background in data warehouse architecture, SQL, and data modeling. - Knowledge of GDPR, AI regulatory frameworks, and data privacy principles. - Hands‑on ETL, OLAP, data mining, and monitoring techniques. - Excellent communication and documentation skills. - Fluent in English. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. - Relevant certifications in data governance, data architecture, or GDPR (e.g., CDO, CDMP, GDPR‑certified professional) are preferred.

Brussels, Belgium

On site

12-01-2026