Cloud AI & Data Engineer — ETL, ML, Pipelines

Vivid Resourcing; Antwerpen; Sur place; EUR 55 855 - 66 904; Plein temps

Avantages offerts par ce poste

Car

Résumé du poste

Vivid Resourcing in Antwerp is seeking an AI & Data Engineer to design, build, and optimize ETL/ELT pipelines powering analytics-ready data assets. You will develop AI/ML features, write Python for automation, and craft complex SQL queries across large-scale datasets.

You'll work with GCP/Azure, orchestrate data workflows, and collaborate with data scientists and product teams. A strong data mindset and cost-aware cloud architecture are essential for this role.

Qualifications

• Design, build and optimize ETL/ELT pipelines to produce analytics-ready data assets.
• Develop and integrate AI/ML-powered features into data workflows and products.
• Write clean Python for automation, data processing, and orchestration.
• Craft and optimize complex SQL queries across large-scale datasets.
• Architect and manage cloud infrastructure across GCP and Azure.

Responsabilités

• Design, build, and optimize ETL/ELT pipelines that turn messy data into reliable, analytics-ready assets.
• Develop and integrate AI/ML-powered features into data workflows and products.
• Write clean, efficient Python for automation, data processing, and pipeline orchestration.
• Craft and optimize complex SQL queries across large-scale datasets.
• Architect and manage cloud infrastructure across Google Cloud Platform and Microsoft Azure.

Connaissances

Python

SQL

ETL pipelines

AI/ML integration

GCP/Azure

CI/CD

Outils

Terraform/IaC

Airflow

dbt

Kubernetes

Description du poste

Vivid Resourcing in Antwerp is seeking an AI & Data Engineer to design, build, and optimize ETL/ELT pipelines powering analytics-ready data assets. You will develop AI/ML features, write Python for automation, and craft complex SQL queries across large-scale datasets.

You'll work with GCP/Azure, orchestrate data workflows, and collaborate with data scientists and product teams. A strong data mindset and cost-aware cloud architecture are essential for this role.