Prompt Engineer Jobs in Brussels.
All active Prompt Engineer roles based in Brussels.
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Joining Collibra’s Product Management Team
Collibra is looking for an Associate Product Content Engineer to build world-class solutions on our market-leading platform. You’ll join a team dedicated to empowering our customers by turning complex data challenges into intuitive, high-value experiences.
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.
Associate Product Content Engineers at Collibra are responsible for
- Building with Purpose: Develop impactful, use-case-driven content (e.g., Data Products, EU AI Act, GDPR, BCBS 239) by translating technical platform features into accessible, high-value solutions.
- Optimizing Time-to-Value: Be obsessed with the end-user journey. You’ll use configuration and customization to simplify the out-of-the-box experience, ensuring customers see results faster.
- Fearless Innovation: Experiment with AI and emerging technologies. We value "failing fast"—prototyping bold ideas, learning from what doesn't work, and doubling down on what does.
- Supporting the Ecosystem: Act as a platform expert in our community forums, guiding customers through scalable customizations and high-quality setups.
- Shaping the Roadmap: Partner with Product Management to influence the vision and roadmap for our Data Intelligence platform.
You have
- 0–3 years of experience in data consulting, solutions architecture, business analysis, or process engineering. We value a mix of professional experience and academic excellence; if you are a recent graduate, you can demonstrate this through relevant internships, advanced coursework, or hands-on projects involving complex data systems.
- Technical Curiosity: Proficiency (or a strong desire to master) modern integration and automation tools:
- AI & Automation: Experience with Model Control Planes (MCP), LLM orchestration, or Prompt Engineering.
- Data Languages: Comfort with SQL, Python, or JSON/REST APIs for data exchange.
- Workflow Design: Familiarity with BPMN 2.0 or low-code/no-code workflow builders.
- User-Centric Mindset: A background in Data Governance, Privacy, or Cataloging is a plus, but a passion for clean design and intuitive user flow is a must.
- Agility: A demonstrated ability to learn new software rapidly and a "test-and-learn" approach to problem-solving.
- A bachelor’s degree or equivalent related working experience is required
You are
- A Collaborative Problem-Solver: You thrive in global, cross-functional environments and use data to prioritize what matters most.
- An AI Explorer: You are an agile experimenter who prioritizes rapid prototyping and iteration. You view unsuccessful AI trials as essential data points and move quickly to refine and improve solutions.
- A Clear Communicator: You can explain complex technical concepts to non-technical stakeholders with ease.
- Methodical yet Adaptable: You can manage multiple workstreams without losing sight of the "big picture" product goals.
Measures of success
- Within your first month, you will complete onboarding and integrate into the Data Governance pillar.
- Within your third month, you will become a certified Data Steward and gain fluency in Collibra’s configuration capabilities while building relationships with Scrum teams.
- Within your sixth month, you will become a certified Collibra Ranger and serve as the go-to partner for Product Managers to launch new content and capabilities.
Benefits at Collibra
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.
Ready to apply?
Apply to Collibra
Senior Python / Agentic AI Engineer
Capco: Where Innovation Meets Opportunity
Capco is a global leader in consulting, uniquely positioned to drive innovation and transformation in the financial services industry. More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. Our business and technology professionals thrive in a dynamic environment where creativity, collaboration, and cutting-edge solutions are at the heart of everything we do. Experience the Capco difference and explore how you can shape your future with us at capco.com.
Capco’s AI Lab
The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). The lab also supports client engagements and internal innovation by building demonstrators and reference architectures, transferring technology to delivery teams, publishing technical learnings, and maintaining the shared infrastructure, tooling and best practices that enable reproducible, secure and scalable AI deployment.
Responsibilities
- Design and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures.
- Design and implement robust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments.
- Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability.
- Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources.
- Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and models) to ensure reliability and maintainability of AI systems.
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows.
- Work closely with stakeholders to translate business requirements into secure, compliant, and scalable AI-driven solutions.
- Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns.
- Optionally contribute to user interfaces using Angular or React to support AI-powered applications.
- Ensure systems meet enterprise standards for security, reliability, and compliance.
Required Experience
- Fluent in English and fluent in Dutch or French.
- 5+ years of professional experience building enterprise-grade Python applications, with strong software engineering fundamentals.
- Proven experience designing and deploying Agentic or LLM-powered systems in production, ideally within enterprise or regulated environments.
- Strong expertise applying large language models to complex automation, information retrieval, and decision-support problems.
- Experience designing agentic architectures, including orchestration, tool usage, planning workflows, and system-level reasoning patterns.
- Experience building LLM systems that combine reasoning, tool access, and dynamic information retrieval, beyond simple prompt pipelines.
- Deep proficiency in Python, including modern frameworks, OOP, design patterns and best practices.
- Experience developing production APIs and backend services that integrate with enterprise systems and data sources.
- Demonstrated experience building reliable AI systems beyond prototypes, with attention to testing, monitoring, evaluation, and operational stability.
Why Join Capco?
- Capco provides an environment where your expertise and innovative ideas will thrive. Here’s why you’ll love working with us:
- Competitive Compensation: Includes a company car or green mobility budget, allowances, end-of-year bonuses, health insurance, mobile phone, laptop, and meal vouchers.
- Learning Opportunities: Gain access to advanced learning platforms, in-person and virtual courses, and our network of global experts to support your continuous development.
- Flexible Working Environment: Enjoy a hybrid setting, combining the benefits of remote flexibility with in-office collaboration.
- Work-Life Balance: Work in a supportive environment designed to encourage balance and wellness both personally and professionally.
- Innovative Culture: Operate in a non-hierarchical workspace where great ideas and initiative are celebrated, giving you a platform to showcase your expertise.
Ready to apply?
Apply to Capco