The Senior Data Engineer will play a crucial role within the Research Business Intelligence team, focusing on enhancing the team's capabilities in data modeling and management. This position is essential for ensuring that the data infrastructure is robust and capable of supporting complex analytical tasks. The Senior Data Engineer will be responsible for implementing best practices in data management, which includes the effective migration and implementation of data systems. This role requires a collaborative approach, working closely with Information Analysts and a Data Management Specialist to assess current data infrastructures and develop future frameworks that guarantee high data quality and accurate reporting. In this position, the Senior Data Engineer will engage in various tasks, including reviewing existing data systems, identifying areas for improvement, and designing solutions that automate manual data processes. The role demands a strong understanding of SQL coding, as well as familiarity with APIs and Business Intelligence tools such as Tableau and Power BI. The engineer will also be expected to create and document both functional and technical specifications, ensuring that all processes are well-defined and easily understandable for future reference. Moreover, the Senior Data Engineer will work within cloud-based environments, specifically Google Cloud, to manage and manipulate data effectively. This position is not only about technical skills but also about contributing to the overall strategy of the Research Business Intelligence team, ensuring that data-driven decisions are supported by reliable and well-structured data.