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This job expired on 27/10/2026. It no longer accepts applications.
Data Architect Intern (AI Acceleration Programme)
Avertim · Bruxelles et périphérie
Job description
About the role
Avertim’s AInspire programme is looking for a Data Architect Intern to support the design and implementation of data foundations for AI use cases. Over a 3‑6 month period you will work alongside AI experts and business teams to create scalable, reliable and governance‑compliant data solutions.
Key responsibilities
- Assist in defining data architecture and data modelling standards.
- Conduct data audits across business processes to identify quality, availability and gap issues.
- Support the design of data pipelines, data flows and integration points.
- Help establish data governance frameworks covering ownership, access and quality.
- Develop reusable templates, standards and best‑practice documentation.
- Collaborate with process owners to translate business needs into technical data requirements.
- Prepare clear reports and recommendations for stakeholders.
Required profile
- Currently enrolled in or recently graduated from a Master’s program in Data, IT, Business Engineering or a related field.
- Strong interest in data, AI and digital transformation.
- Analytical mindset with the ability to structure complex information.
- Proactive, eager to learn and comfortable working in an agile environment.
Required skills
- Fundamentals of data modelling.
- Experience with relational databases and SQL.
- Familiarity with ETL processes, data pipelines and APIs.
- Basic knowledge of cloud platforms (Azure Purview, AWS, GCP) – a plus.
- Understanding of data governance principles; knowledge of GDPR or AI Act is advantageous.
What we offer
- Hands‑on experience in a strategic AI transformation programme.
- Exposure to real‑world AI use cases and enterprise data challenges.
- Coaching from Avertim experts across data, AI and consulting.
- Foundational experience for a future career in data architecture, engineering or AI strategy.
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Avertim
Bruxelles et périphérie
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