AI & Data Engineer — Hybrid Role with Pipelines & Growth

iO; Antwerpen; Hybride; EUR 55 000 - 75 000; Plein temps

Avantages offerts par ce poste

32 vacation days

End-of-year bonus

Hospitalisation insurance

Personal training budget

Healthy snacks & lunch

Résumé du poste

A leading innovation-driven company in Belgium is seeking an AI & Data Engineer to develop innovative data pipelines and AI solutions. You will design, integrate, and operationalize scalable AI services within clients' IT ecosystems. The ideal candidate holds a degree in software engineering and has experience with AI-driven systems. You'll work on various challenges from AI integration to data pipeline development, ensuring quality and compliance in data ecosystems. This role offers flexible hybrid work arrangements and a comprehensive benefits package.

Qualifications

• Experience in software engineering with data and AI-driven systems.
• Strong foundation in data architectures and big-data processing.
• Ability to explain technical concepts to non-technical stakeholders.

Responsabilités

• Design AI & Data solutions based on client challenges.
• Develop backend components and APIs for integration.
• Implement machine learning pipelines within data workflows.
• Optimize data processing performance and security.

Connaissances

Software engineering

Data architecture

AI solutions

ETL/ELT processes

Cloud platforms (AWS/Azure)

Python

SQL

Apache Spark

Formation

Bachelor's or Master's in Software Engineering

Outils

AWS Glue

Azure Data Factory

Google Dataflow

Pandas

Dask

Description du poste

A leading innovation-driven company in Belgium is seeking an AI & Data Engineer to develop innovative data pipelines and AI solutions. You will design, integrate, and operationalize scalable AI services within clients' IT ecosystems. The ideal candidate holds a degree in software engineering and has experience with AI-driven systems. You'll work on various challenges from AI integration to data pipeline development, ensuring quality and compliance in data ecosystems. This role offers flexible hybrid work arrangements and a comprehensive benefits package.