About the Role
The Data Engineer contributes to the design, development and delivery of robust data pipelines, models and processes that support timely, accurate and trusted insights.
This role is responsible for building, maintaining and optimising modern cloud-based data assets that enable effective decision-making, strengthen risk management and improve quality of care.
Key Responsibilities
* Data Pipelines: Develop, maintain and optimise data pipelines and workflows in Snowflake and related cloud platforms.
* Data Modelling: Apply data modelling techniques to structure, optimise and ensure accessibility of data assets.
* Quality Frameworks: Implement dbt tests and quality frameworks to maintain accuracy, integrity and reliability of data.
* Collaboration: Collaborate with technical and non-technical stakeholders to deliver business-aligned data solutions.
Benefits: Produce and maintain clear technical documentation to support data engineering practices and business use.
Requirements:
* Technical Skills: Proficiency in Snowflake, dbt, Azure DevOps and related technologies.
* Business Acumen: Strong understanding of business needs and ability to translate them into technical solutions.