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As the Lead Data Engineer, you’ll: work closely with data scientists, developers, and the wider team of DDaT expertise to develop robust, repeatable processes for managing and automating routine and repetitive tasks for data flows between teams lead workstreams to identify and deliver data pipelines for AI prototyping and scaling, applying knowledge of systems integration identify areas of innovation in data tools and techniques and recognise appropriate timing for adoption support and enable effective data management, ensuring documentation, data dictionaries, and metadata are readily available across a range of stakeholders confidently define and build robust data models and ETL processes to support AI delivery in line with best practice and standards establish enterprise-scale data integration procedures across the data development life cycle to ensure decisions and actions are based upon reliable and accurate data continuously improve delivery by identifying potential efficiencies and savings in existing processes, ensuring resources are utilised appropriately. Lead on collaboration and building capability while supporting the continuous development and upskilling of the wider technical team communicate complex technical issues clearly and concisely to the team and to senior leaders to aide decision-making. Champion data engineering across the organisation and more widely across government