Description
Locations: Leeds, Manchester or Telford There is an exciting opportunity to join a growing and fast paced support and delivery team within HMRC's Data Platform Service Delivery Group as a Senior Data Engineer. The Data Platform Services Group is building an engineering capability to help run, maintain, and evolve its strategic Data Analytics platforms and services. The Senior Data Engineer will take part in delivering, supporting and maintaining the Delivery Group's technical platforms. A proven technical track record, an enthusiasm for technology trends, a proactive approach and a real teamwork ethos are key aspects. You will receive on-going training opportunities tailored to your role. Responsibilities As part of the Engineering team, you will have a part to play in the running, maintenance and evolution of the Delivery Group's strategic Data Analytics products, platforms and services. Support agile project delivery. Providing technical support and guidance to others. Design, build and administer key components of our analytics platforms, including monitoring, alerting, capacity management, investigation and lead in the resolution of technical issues. This role may require you to manage a number of internal staff and/or contractors. Support a range of data exploitation tools. Implement preventative and corrective maintenance activities on platforms, tools, and data flows. Provide batch monitoring and support for complex critical 24x7 services This role may provide the opportunity for the successful candidate to provide support outside of normal working hours and take part in On Call rotas. Use a wide range of collaboration and working aid tools such as TEAMS, Confluence and JIRA. Limited travel may also be required as part of this role to work in a geographically distributed Delivery structure. Essential Criteria: You will have solid knowledge and experience in data movement and provisioning in one or more of the following specialist areas. ETL Tooling :- for example - Pentaho DI, Talend, SAP Business Objects. Virtualisation :- for example - Denodo. Reporting and Dashboarding :- for example - Pentaho BA, SAP Business Objects Crystal reporting Analytical Tooling :- for example - Power BI, RStudio. Metadata Management :- for example - Informaitca Metadata Management Languages :- for example - Python, Java, Unix Shell Scripting, SQL/HQL Data storage :- for example – RDS / Oracle / MySQL / MongoDB / Hadoop SAS Administration :- Working knowledge of SAS (in any form) Supporting Knowledge and Experience in two of the following areas : Experience scheduling, running, monitoring, and fixing data flows both batch and real time Demonstrable desire to acquire additional technical skills as deemed necessary for the role. Knowledge of security approaches. A clear understanding of Agile and Continuous Integration environments Knowledge of configuration management approaches and practices Experience using source control technologies such as GIT Desirable criteria: Experience working in public cloud environments, for example: AWS, Azure. Benefits Learning and development tailored to your role An environment with flexible working options A culture encouraging inclusion and diversity A Civil Service pension
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