GenAI Data Engineer: Build Scalable AI Pipelines

Artefact; Brussel Hoofdstad; Sur place; EUR 65 000 - 105 000; Plein temps

Avantages offerts par ce poste

Mobility budget

Company car

Premium insurance

Training budget

Global office network

Résumé du poste

Artefact Belgium is seeking an experienced Data Engineer to build high-performance data pipelines and scalable cloud architectures for Generative AI applications. You will own end-to-end data foundations powering GenAI, RAG, and AI agents in a Brussels context, collaborating with ML engineers and data scientists.

You will work with Python, Spark, and modern orchestration tools to deliver robust data platforms, while adhering to governance and security requirements for enterprise-scale

Qualifications

• 3–5 years of data engineering experience, preferably in consulting.
• Strong Python and Spark experience for large-scale processing.
• Experience with GenAI data foundations and data modeling using dbt.

Responsabilités

• Own end-to-end data engineering challenges in GenAI practice.
• Build production data pipelines for unstructured data and LLM prep.
• Collaborate with ML engineers on data models and AI-ready data layers.
• Advocate for clean code, CI/CD, and scalable data platforms.

Connaissances

English proficiency

Dutch or French language

Consulting mindset

Formation

Master's in Computer Science/Engineering/Mathematics

Outils

Python

Spark (PySpark, SparkSQL)

dbt

Airflow

Prefect

Dagster

Databricks

Azure

AWS

Docker

Kubernetes

Git

Description du poste

Artefact Belgium is seeking an experienced Data Engineer to build high-performance data pipelines and scalable cloud architectures for Generative AI applications. You will own end-to-end data foundations powering GenAI, RAG, and AI agents in a Brussels context, collaborating with ML engineers and data scientists.

You will work with Python, Spark, and modern orchestration tools to deliver robust data platforms, while adhering to governance and security requirements for enterprise-scale