GenAI Data Engineer: Scalable Pipelines & AI Tools

Telenet; Brussel Hoofdstad; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Thirteenth-month salary and holidaypay

Mobility budget

Meal and eco vouchers

Mobile phone and subscription

Collective and individual bonuses

Hospitalization and group insurance

20 days paid leave and 12 compensatory

Résumé du poste

Telenet is seeking a Data Engineer to join the GenAI team in Belgium. You will design and optimize data pipelines to support AI tools, collaborating with data scientists and AI engineers to ensure robust and scalable solutions.

In this role you will design data pipelines for GenAI tools, deploy data services for semantic search, and ensure data integrity and scalability across GenAI applications. A strong emphasis on collaboration and automation will drive the success of this team.

Qualifications

• Experience with RAG-based solutions and large volumes of unstructured data.
• Design and optimize data pipelines to support GenAI tools.
• Collaborate with data scientists and AI engineers to ensure robust and scalable solutions.

Responsabilités

• Design and build scalable data pipelines for GenAI tools.
• Deploy and manage data services for semantic search and knowledge retrieval.
• Ensure data integrity and scalability for GenAI applications.
• Collaborate with data scientists and AI engineers.
• Optimize data pipelines and infrastructure.
• Develop automation and CI/CD solutions.
• Connect chatbot conversations to data pipelines for insights.

Connaissances

RAG-based

Java

Analytical mindset

Problem-solving

Formation

Master’s degree in Computer Science

Description du poste

Telenet is seeking a Data Engineer to join the GenAI team in Belgium. You will design and optimize data pipelines to support AI tools, collaborating with data scientists and AI engineers to ensure robust and scalable solutions.

In this role you will design data pipelines for GenAI tools, deploy data services for semantic search, and ensure data integrity and scalability across GenAI applications. A strong emphasis on collaboration and automation will drive the success of this team.