About this role
About us We are Digital Science and we are advancing the research ecosystem. We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team. Want to join us? Your new role The I&A function works with a centralised data warehouse built in Google BigQuery, which serves as the single source of truth for business data across the organisation. The warehouse breaks down data silos within Digital Science, enables the development of automated, contextualised reports as well as ad hoc analyses, supporting improved data accessibility and the communication of insights across the business. The Data Engineer role is essential for building and maintaining robust data pipelines between source enterprise business systems and BigQuery, and data modelling. This includes designing and managing data transformation processes within BigQuery to clean, join, and aggregate data into report- and analysis-ready datasets. Additionally, the Data Engineer will develop a deep understanding of the data models within our core enterprise systems, providing critical support for change management, system modifications, and integrations to ensure seamless data operations. Please be aware that we may close this position early if we receive a high volume of applications, so we encourage you to apply promptly. Collaborate with cross-functional teams to identify, collect, and validate data sources and analytics requirements Design, develop, implement and maintain data systems and ETL/ELT processes that support data processing, data integration, and data transformation.This includes the set up and management of Digital Science’s Fivetran instance, as well as developing and maintaining code base in cloud functions/GBQ pipelines for API calls to non-Fivetran supported data sources Develop and maintain data transformation and modelling processes using Dataform or dbt Implement and maintain best practices for data governance, data security, and data quality, alerting systems and CI/CD processes Play a central role in business system procurement and change management processes, to advise on the downstream impact for reporting and analytics of system modification, integration and implementation Stay current with industry trends and technologies to identify opportunities for innovation and improvement