GenAI Data Engineer: Build Scalable AI Pipelines

Artefact; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Mobility budget or company car

Professional growth opportunities

Access to a diverse team

Résumé du poste

A leading data consulting firm is seeking a Data Engineer in Brussels to build AI-driven data pipelines and scalable architectures. The ideal candidate will have 3-5 years of experience in data engineering, strong programming skills in Python and Spark, and a Master’s degree in a quantitative field. Responsibilities include deploying advanced data pipelines, developing scalable AI platforms, and ensuring best practices for data governance. Fluency in English and proficiency in Dutch or French are advantageous.

Qualifications

• 3-5 years of experience in data engineering, preferably in consulting.
• Strong programming skills in Python.
• Proven expertise in Spark for large-scale data processing.
• Experience with dbt for data modeling.
• Fluency in English and proficiency in Dutch or French preferred.

Responsabilités

• Design and deploy advanced data pipelines optimized for unstructured data.
• Develop scalable AI platforms utilizing modern cloud technologies.
• Implement best practices for data transformation and governance.
• Collaborate with machine learning engineers on data models.
• Advocate for clean, maintainable code using Python and SQL.

Connaissances

Data engineering

Python

Spark (PySpark, SparkSQL)

Data modeling with dbt

Clean code advocacy

Collaboration in AI projects

Containerization (Docker/Kubernetes)

Formation

Master’s in a quantitative field

Outils

Databricks

Azure

AWS

Airflow

Prefect

Dagster

Description du poste

A leading data consulting firm is seeking a Data Engineer in Brussels to build AI-driven data pipelines and scalable architectures. The ideal candidate will have 3-5 years of experience in data engineering, strong programming skills in Python and Spark, and a Master’s degree in a quantitative field. Responsibilities include deploying advanced data pipelines, developing scalable AI platforms, and ensuring best practices for data governance. Fluency in English and proficiency in Dutch or French are advantageous.