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Data & AI Engineer

VASS
VASS BRUSSELS
Remote

About this role

Data & AI Engineer

Location: VASS BRUSSELS

A global digital transformation company with a team of more than 4,900 global players in 26 countries – in Europe, America and Asia, working together to put organizations at the forefront of innovation by bringing together talent, knowledge and technology. Our approach is based on conscious technology, through which we create positive environments and meaningful opportunities, always in our own way, making the complex simple.

VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert Data & AI Engineer to work from the European Commission.

The role:

Required Experience & Skills (Must-Have)

  1. Data Engineering & Architecture
  • Proven experience in designing and implementing data pipelines (ETL/ELT)
  • Strong knowledge of data lake / data warehouse architectures
  • Experience with modern data platforms (e.g. Microsoft Fabric, Azure ecosystem, Open Source data platforms)
  1. Handling Structured & Unstructured Data (Critical Requirement)
  • Demonstrated experience in handling and integrating: o Structured data (databases, tabular datasets) o Unstructured data (documents, reports, PDFs, text corpora)
  • Ability to build pipelines enabling end-to-end exploitation of heterogeneous data
  • Experience preparing data for reporting and advanced analytics
  • Ability to structure unstructured information using metadata, classification, and transformation techniques
  1. Analytics & AI
  • Experience with analytics development and data modelling
  • Exposure to AI / ML solutions, particularly on text or document-based data
  • Understanding of explainability and traceability principles
  1. Engineering Practices
  • Knowledge of DevOps / CI-CD / pipeline automation
  • Ability to deliver in multi-stakeholder environments
  1. Nice-to-Have Skills
  • Experience with classified or restricted environments (EUCI or equivalent)
  • Familiarity with Microsoft Purview or similar governance tools
  • Experience with: o Data catalogues and business glossaries o Cross-domain data handling o Hybrid or sovereign cloud environments
  • Experience in public sector / defence / EU institutions
  • Experience in AI explainability or human-in-the-loop systems
  1. Profile & Mindset The ideal candidate demonstrates:
  • Strong engineering mindset with focus on scalable and modular solutions
  • Ability to operate in highly governed and security-sensitive environments
  • Pragmatic and structured approach to delivering focused on value and feasibility
  • Able to adapt in priorities adjustments
  • Able to adapt in different technologies
  • Strong collaboration and communication skill

You have: To have a bachelor of minimum 3 years

If you want to join a dynamic company where technological challenges will be found in your day to day we are waiting for you in the great VASS team. And we encourage you to be the best version of yourself: Transformative, Creative, Honest, Vibrant!

At VASS we take action every day to achieve a favourable environment that facilitates and promotes equal opportunities, non-discrimination, diversity and inclusion of all people. We select our talent based on business needs, skills and merits. 🌟

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