Data Engineer

Within our Data & Analytics team, you will contribute to the development and management of a cloud-based data platform on Microsoft Azure. Together with your colleagues, you will ensure that data is reliable, accessible, and usable for reporting, analytics, and AI applications.

Responsibilities

• 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.

Ideal Profile

• You hold a bachelor's or master's degree in an IT-related field or have equivalent professional experience.
• You have at least 3 to 5 years of experience in Data Engineering, Cloud Engineering, or a similar role.
• You have knowledge of Microsoft Azure and modern data platforms.
• You have experience with Python, Git/GitHub, and Infrastructure as Code, preferably Terraform.
• Experience with Databricks is a strong advantage.
• Knowledge of dbt, Airflow, Linux scripting, or data warehousing is considered a plus.
• You are able to work independently, take initiative, and have a strong analytical mindset.
• You communicate effectively and enjoy working in a multidisciplinary team.