Data Engineer

About the Role:

We are seeking an experienced Data Engineer to help build and enhance a cloud-based data warehouse hosted on Microsoft Azure. This role offers a unique opportunity to shape and develop a data platform, enabling impactful decision-making through innovative solutions and data insights.

Key Responsibilities:

• Develop and maintain a cloud-based data warehouse using modern ETL tools.
• Build and optimise scalable data pipelines and workflows.
• Implement and support data visualisation tools such as Tableau or Power BI.
• Design and enhance data architecture and models (e.g., facts/dimensions, materialised views).
• Integrate APIs and support migration to a cloud environment.
• Collaborate with stakeholders to understand business needs and deliver tailored solutions.
• Mentor and support junior developers while contributing to an agile team environment.

What We're Looking For:

Technical Expertise:

• Extensive experience with cloud data platforms, preferably Snowflake.
• Advanced SQL skills and experience with DBT.
• Proficiency in Python or a similar programming language.
• Hands-on experience with RESTful and GraphQL API integration.

Tool Knowledge:

• Familiarity with cloud-based ETL tools and CI/CD pipelines (e.g., Azure DevOps, Jenkins).
• Experience integrating Tableau/Power BI with cloud data platforms.
• Knowledge of source control systems (e.g., GIT).

Soft Skills:

• Ability to communicate technical concepts and insights effectively to diverse stakeholders.
• Experience working in agile teams using methodologies like Scrum or Kanban.