Azure Data Engineer — Cloud Pipelines for Analytics & AI

Xintas; Antwerpen; À distance; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Xintas in Belgium is seeking a Data Engineer to contribute to a cloud-based data platform on Microsoft Azure. You will help ensure data is reliable, accessible, and usable for reporting, analytics, and AI applications.

You will develop data solutions, build pipelines and data warehouses, and collaborate with internal teams and partners in agile projects. A 3–5 year background in Data or Cloud Engineering and Azure knowledge are required; Databricks and Terraform are strong assets.

Qualifications

• Bachelor's or Master's in IT or equivalent experience.
• 3–5 years in Data or Cloud Engineering.
• Knowledge of Microsoft Azure and modern data platforms.
• Experience with Python, Git/GitHub, and Terraform.
• Databricks experience is a strong advantage.
• dbt, Airflow, Linux scripting, or data warehousing is a plus.
• Independent, analytical, and good communicator in a multidisciplinary team.

Responsabilités

• Develop and manage data solutions on the Microsoft Azure platform.
• Build data pipelines, data warehouses, and data lake solutions.
• Support analytics and AI applications within the data platform.
• Analyze and resolve technical issues.
• Document solutions, processes, and integrations.
• Collaborate with internal teams and external partners within agile projects.
• Contribute to the development of tools and frameworks that support data teams.

Connaissances

Azure

Python

Git/GitHub

Terraform

Databricks

dbt

Airflow

Linux scripting

Data warehousing

Analytical mindset

Independent worker

Communication

Multidisciplinary teamwork

Formation

Bachelor's or Master's in IT

Outils

Git/GitHub

Terraform

Databricks

dbt

Airflow

Linux scripting

Description du poste

Xintas in Belgium is seeking a Data Engineer to contribute to a cloud-based data platform on Microsoft Azure. You will help ensure data is reliable, accessible, and usable for reporting, analytics, and AI applications.

You will develop data solutions, build pipelines and data warehouses, and collaborate with internal teams and partners in agile projects. A 3–5 year background in Data or Cloud Engineering and Azure knowledge are required; Databricks and Terraform are strong assets.