Key Responsibilities

• Design, develop and maintain scalable data pipelines and data infrastructure.
• Undertake hands-on data modelling, ensuring data is structured, reliable and accessible for business use.
• Contribute to the development and optimisation of the organisation's data platform.
• Work with large and complex datasets to support reporting, analytics and business intelligence requirements.
• Build and maintain data transformation workflows using DBT.
• Support the development and delivery of data use cases across multiple business functions.
• Partner with Product, Engineering and business stakeholders to understand requirements and translate them into technical solutions.
• Work with financial performance metrics and commercial data to support business decision-making.
• Contribute to conversational analytics and the development of data-driven insights.
• Identify opportunities to improve data quality, platform performance and engineering processes.

Required Experience & Skills

• Strong commercial experience as a Data Engineer, ideally within a modern cloud data environment.
• Experience working with Google Cloud Platform (GCP). Candidates with AWS or Azure experience will also be considered if they can demonstrate the ability to adapt to new cloud environments.
• Practical experience with DBT, including data transformation and modelling.
• Strong data modelling capabilities, with the ability to design and structure data to support different business requirements.
• Experience building, maintaining and optimising data pipelines and platforms.
• Exposure to large datasets and complex data environments is advantageous.
• Strong SQL and general data engineering capabilities.
• Ability to balance hands-on platform engineering with data modelling responsibilities.
• Comfortable working with both technical and non-technical stakeholders.