Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting 

The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.

The NCIA provides a wide range of services, including:

• Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
• Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
• Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
• Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
• Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers.

Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.

The program

Assistance and Advisory Service (AAS)

The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.

To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)'s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.

Role ID – CDT-0012

Role Duties and Responsibilities

Cyber Digital Transformation Division (CDT) drives the end-to-end transformation of NATO’s Military and Non-Military Instruments of Power, enabled by digital technologies, to enhance the Alliance’s ability to execute its core tasks in a Multi-Domain Operations (MDO) environment. In particular, increase Alliance Digital Interoperability, support the modernisation of NATO’s Standardization processes, and enable the adoption of data exploitation capabilities and AI.

The contractor shall support NATO’s digital transformation by developing and advancing communications and networking standards that enable persistent, secure, and policy- compliant consultation, command, and control networks in support of Multi-Domain Operations (MDO).

We are looking for a well-rounded professional with excellent technical and communication skills as well as experience in the military domain. NATO knowledge would constitute and asset.

Essential Skills, Experience and Certifications

• The contractor shall design, develop, integrate, and maintain ontologies supporting NATO operational and technical use cases. This includes ensuring compliance with agreed standards, enabling interoperability across systems, and managing ontology artefacts through controlled lifecycle processes, including versioning, validation, and updates.
• The contractor shall develop and maintain semantic artefacts, including taxonomies, thesauri, dictionaries, and code lists, to ensure consistency of terminology and structured data usage across NATO systems and initiatives. These artefacts shall align with NATO terminology directive and applicable standardization policies.
• The contractor shall contribute to the development, review, and harmonization of NATO data standards, ensuring alignment with ISO standards and NATO standardization artefacts. This includes supporting the modernization of standardization processes and improving interoperability across military and non-military domains.
• The contractor shall define and implement governance processes for ontology lifecycle management, including roles, responsibilities, workflows, and quality assurance mechanisms. The contractor shall ensure that ontology and data artefacts are aligned with the NATO Enterprise Architecture Framework (NAF v4.1) and model-driven development practices.
• The contractor shall support the integration of ontologies into knowledge graphs and operational systems, enabling advanced data exploitation and supporting artificial intelligence and machine learning use cases. This includes ensuring compatibility with secure cloud environments and supporting DataOps and MLOps practices, where applicable.
• The contractor shall prepare and deliver briefings, presentations, and reports to NATO committees, capability panels, and working groups, and shall coordinate activities across stakeholders to ensure alignment, transparency, and effective progress of all assigned tasks.
• The contractor shall provide support to unforeseen or ad hoc requirements within the scope of ontology engineering, data standardization, and interoperability, as requested and prioritised by CDT. Such support shall be subject to mutual agreement on scope, effort, and priority.

Working Location

• Brussels, Belgium

Working Policy

• Onsite

Travel

• Some travel to other NATO sites may be required

Security Clearance

• Valid National or NATO Secret personal security clearance

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• You must have work authorization to work in Brussels, Belgium
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

Join Artefact Belgium: Help our clients in their AI transformations

Who We Are

Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include:

• Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies.
• Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team.
• Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization. 
• Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships.
• Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments.
• Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members.
• Optimising code: writing highly optimized code to advance Artefact’s internal toolbox and knowledge base.

What you will learn with us:

• Real-World impact: deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries, including marketing and customer intelligence. 
• Collaborative solutions: work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions.
• Software engineering improvement: enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams.
• Expertise development: become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence, including marketing analytics, attribution modeling, and incrementality testing.
• Algorithm discovery: discover state-of-the-art algorithms and test them on real-world data during client projects.

Who You Are

We’re seeking someone who has:

• Educational background: a completed Master’s degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects).
• Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
• Marketing or digital context experience: knowledge of various marketing channels and platforms, including their roles within the media mix is considered a plus. 
• Technical skills: strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R.
• Analytical mindset: a passion for working with data to derive actionable insights and solve complex problems.
• Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
• Curiosity and passion: a genuine interest in continuous learning and exploring new technologies and tools in data and AI.

What We Offer

• Competitive compensation aligned with your profile and experience.
• Hands-on exposure to real client challenges from day one, working alongside experienced strategy and data/AI practitioners.
• Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure across Artefact's global network.
• A collaborative, entrepreneurial culture of doers — innovative, fast-moving, and committed to supporting each other's growth.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value curiosity, motivation, and potential above all else. Don't worry if you don't tick every box — if you're excited about building a career at the frontier of strategy and AI, we'd love to hear from you

We’re looking for a Medior or Senior Data Scientist with at least 3 years of experience and a proven track record in developing Generative AI applications. In this role, you’ll apply your expertise in Machine Learning and AI technologies to solve complex challenges and deliver impactful, data-driven solutions.

Your Role

• Design and develop AI applications (e.g., virtual assistants) that improve user experiences, empower employees with intelligent tools, and automate internal processes.
• Apply a wide range of analytical techniques, including Generative and Predictive AI methods such as:
  • Prompt Engineering, RAG, Fine-Tuning, Speech-to-Text, NLP, Image Generation, and Agentic AI.
  • Classical Machine Learning and Statistical Modeling approaches.
• Build and deploy AI models into production, leveraging your strong programming skills in Python and familiarity with modern AI frameworks.
• Present insights and results clearly to stakeholders and decision-makers.
• Work with diverse and large-scale datasets, applying your analytical mindset to extract meaningful insights.
• Collaborate in a lean, innovative, and Agile environment where open communication, teamwork, and shared learning are valued.

Your Profile

• Education: Master’s degree (or equivalent experience) in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering. Candidates with other backgrounds but strong analytical expertise are welcome.
• Experience: Minimum 3 years in Data Science and Analytics, with hands-on experience in Deep Learning and pre-trained models.
• Technical Skills (Required):
  • Python, Deep Learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience with pre-trained and Generative AI models
• Technical Skills (Preferred): Tools like Domino, Git, and frameworks for GenAI (e.g., Prompt Engineering, Fine-Tuning, LangGraph, ADK, MCP)
• Business Experience (Preferred): Experience developing GenAI applications in Finance or similar domains
• Soft Skills:
  • Team player with a business-oriented mindset
  • Proactive, autonomous, and committed to results
  • Strong communication and influencing abilities
  • Excellent analytical and problem-solving skills
  • Comfortable working in a dynamic, multicultural environment

Ben jij een Django Developer met een sterke ondernemersgeest? 🚀

De software engineer zal een bestaande team van een vijf personen integreren bezig met de ontwikkeling van een python-applicatie in Django om de operationele noden te ondersteunen. Day-to-day zal het werk over de ontwikkeling van nieuwe features en het onderhouden van de bestaande features. Het hele project wordt ontwikkeld met behulp van Agile-methoden en is volledig on-premise. We vragen een aanwezigheid van 2 dagen per week op kantoor, in Brussel, goed bereikbaar met het openbaar vervoer. De kandidaat moet een veiligheidsaccreditatie kunnen verkrijgen.  

We zoeken een gedreven en detailgerichte Software engineer met een passie voor het modellen, ontwerpen, ontwikkelen van innovatieve softwarecomponenten en applicaties. Beschikt over ervaring met het development van data-applicaties in Django/FastAPI, en een bewezen staat van dienst in het vertalen van klanten noden naar technische eisen. 

• Front-end development : Expertise in het bouwen en onderhouden van applicaties in React.  
• Back-end development : Diepgaande kennis van Python voor software dev, aantoonbare ervaring met python Django en optioneel maar een plus in .NET.  
• Gegevenskwaliteit en Integriteit: Sterke focus op het waarborgen van de nauwkeurigheid, volledigheid en betrouwbaarheid van gegevens. 
• Probleemoplossend Vermogen: Uitstekende analytische vaardigheden om complexe technische uitdagingen op te lossen en data-driven oplossingen te leveren.  
• Plus: web servers Nginx or Apache.  

Ben jij een Solution Data Architect met een sterke ondernemersgeest? 🚀

Ben jij een Senior / Lead Data Engineer met een sterke ondernemersgeest? 🚀

Als Data Engineer help je ons bij het implementeren van de data lake om milieugegevens te verzamelen, verwerken en opslaan van diverse sites.

• Schaalbare datapijplijnen ontwikkelt en onderhoudt met behulp van Azure Databricks.
• Samenwerkt met business data-analisten om databehoeften te begrijpen en oplossingen aan te leveren.
• Dataintegratie- en transformatieprocessen implementeert vanuit diverse bronnen, waaronder REST API's.
• Datastromen optimaliseert en problemen oplost met het oog op performantie en betrouwbaarheid.
• Zorgt voor datakwaliteit en consistentie over verschillende gestructureerde en ongestructureerde databronnen.
• Op de hoogte blijft van de nieuwste trends en best practices binnen data engineering, Databricks en dataintegratietechnologieën.

• Aantoonbare ervaring als Data Engineer met sterke focus op Azure Databricks en aanverwante technologieën binnen het Microsoft data-ecosysteem.
• Bekend met de lakehouse medallion architecture.
• Vaardig in SQL, Python en Apache Spark.
• Grondige kennis van REST API’s, inclusief hoe deze op een veilige en efficiënte manier te consumeren (bijvoorbeeld via Python/Databricks notebooks); ervaring met het binnenhalen en transformeren van JSON/XML-data vanuit web API’s is een grote plus.
• Ervaring met datamanagement & governance via Unity Catalog is een pluspunt.
• Bereidheid en kennis om zelf (technische) rapporten in Power BI op te bouwen.
• Documenteren van je werk is voor jou vanzelfsprekend tijdens analyses en ontwikkelactiviteiten (bijvoorbeeld in Wiki, DevOps, …).
• Je spreekt vlot Engels. Andere Europese talen zoals Frans, Nederlands of Spaans zijn een pluspunt.

Klaar om een verschil te maken? Laten we alvast even kort kennismaken! 🙌

Het Artificial Intelligence-team is op zoek naar een medior of senior Data Scientist met minimaal 3 jaar ervaring en een bewezen staat van dienst in het ontwikkelen van generatieve AI-toepassingen. Als Data Scientist moet je expertise hebben in verschillende aspecten van Machine Learning. Deze functie biedt je de mogelijkheid om je vaardigheden op meerdere gebieden toe te passen en te verbeteren:

• Pak verschillende zakelijke uitdagingen aan door AI-toepassingen (virtuele assistent, ...) te creëren die gericht zijn op het verbeteren van de klantervaring, het versterken van de positie van medewerkers met superieure tools en het automatiseren en optimaliseren van interne processen.
• Gebruik maken van een reeks analytische methodologieën (generatieve AI en voorspellende AI), waaronder GenAI-technieken en -methodologieën: Prompt Engineering, RAG, Fine-tuning, speech-to-text, agentische toepassingen, beeldgeneratie en -interpretatie, en klassieke statistische/machine learning-technieken. Hoewel we niet verwachten dat je een expert bent op alle gebieden, moet je wel beschikken over een sterke expertise in kerntechnologieën en het vermogen om indien nodig nieuwe methoden te leren.
• Aantoonbare uitgebreide ervaring in programmeren met Python en bijdragen aan de implementatie van AI-toepassingen in productie met behulp van een uitgebreide stack van tools.
• De resultaten van je werk rechtstreeks communiceren aan het topmanagement.
• Toegang tot een van de rijkste volumes aan gevarieerde data op de markt en je vaardigheden daarop toepassen.
• Ontwikkel je in een omgeving waar innovatie en lean processen worden geprezen, open communicatie wordt aangemoedigd en collega's begrijpen wat teamwork inhoudt.
• Werk samen met een team van collega's in een Agile organisatie die bereid zijn om samen te werken en hun ervaring te delen.