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