CREST (Compliance and Risk Engineering Solutions Team) sits within Risk and Intelligence Service, and we play a responsible role in projects and programmes which transform our approach to data processing, and its use in risk services. We will provide the opportunity for you to hit the ground running with data engineering, data processing, data models, data profiling, deep investigations and unlock new data assets. The Senior Data Engineer will work closely with wider technical delivery partners to deliver Investigation, Detection & Risking System (IDRS) as a live service. You will support the delivery of the service into live and to continue to expand and develop capability post go live.The role will initially focus on the continuation of designing, building, testing and promoting to environments of new data products, to ensure elements for which RIS are responsible, are delivered to time, cost, accuracy and quality. CREST is responsible for the configuration of the vital components of IDRS, and we will be responsible for maintaining and enhancing these components, actioning service level requests from our end-users, maintaining and resolving incidents as they occur.See what it’s like to work at HMRC: find out more about us or ask our colleagues a question. Questions relating to an individual application must be emailed as detailed later in this advert. Key ResponsibilitiesDesign, build, test, promote and maintain complex data management systems, making sure they meet business requirements and user needs.Working under agile methodology, work closely with wider build teams, product owners and delivery lead to ensure priorities are met and build products are aligned.Deliver services that are automated, reliable, and secure.Recommend ways to improve data efficiency and reliability.You will report to a dedicated People Manager and Work Manager in RIS Analysis CREST and work closely with external suppliers and stakeholders to ensure optimum service outcomes are determined and delivered.SkillsUses agreed standards and tools to design, code, test, correct and document moderate to complex programs and scripts from agreed specifications.Understand the concepts and principles of data modelling and use these to design and implement relevant data models across multiple subject areas. Can reverse engineer data models from a live system. Understands industry recognised data modelling patterns and standards and when to apply them. Compares and aligns different data models.Design appropriate metadata repositories and present changes to existing metadata repositories. You understand a range of tools for storing and working with metadata and provide advice to team members.You can respond to problems in databases, data processes, data products and services as they occur. You can initiate actions, monitor services, and identify trends to solve problems. You can determine the appropriate remedy and assist with implementation of it as well as preventative measures.Able to effectively translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team, with potentially difficult dynamics. Able to advocate for the team externally and can manage differing perspectives.Gather business and technical product requirements from a range of stakeholdersUse appropriate environments for development and testing. Promote code between environments and recognise the significance of environmental alignment.