Data Engineer

We are looking for an Azure Data Engineer to join a growing Data & Analytics team and play a key role in the development and management of a cloud-based data platform built on Microsoft Azure on a Freelance Basis, * Design, develop, and maintain data solutions on Microsoft Azure.

• Build and optimise data pipelines, data warehouses, and data lake architectures.
• Support analytics, business intelligence, and AI use cases within the data platform.
• Monitor, troubleshoot, and resolve technical issues across the data landscape.
• Create and maintain technical documentation, processes, and integrations.
• Collaborate with internal stakeholders and external partners within agile delivery teams.
• Contribute to the development of tools, frameworks, and best practices that support data engineering teams.

Essential

• Bachelor’s or Master’s degree in IT, Computer Science, Engineering, or equivalent experience.
• 3-5 years of experience within Data Engineering, Cloud Engineering, or a similar position.
• Hands-on experience with Microsoft Azure and modern cloud data platforms.
• Strong Python development skills.
• Experience working with Git/GitHub for source control and collaboration.
• Experience with Infrastructure as Code, ideally using Terraform.
• Analytical mindset with strong problem-solving abilities.
• Ability to work independently while collaborating effectively within a team environment.

Desirable

• Experience with Databricks.
• Knowledge of dbt, Apache Airflow, or similar orchestration tools.
• Experience with Linux scripting.
• Understanding of data warehousing concepts and best practices.
• Exposure to analytics and AI-focused data platforms.