The Digital Data and Technology (DDaT) profession enable the Home Office to keep the UK safe and secure. They do this by designing, building, and running the services that help people apply for visas or passports, support policing and counter-terrorism operations, and protect the UK’s borders.
The End User Compute and Collaboration (EUCC) team develop and implement wide variety solutions and products using Microsoft 365 (M365). This includes but is not limited to M365 applications such as Microsoft Teams, SharePoint, OneDrive, Power Platform and Microsoft Office applications.
Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems. They identify, build, modify and manage data flows between complex systems using the appropriate solution.
In this role you will be working with the Data Services Science community, who set the scope of data engineering work through user research and data pipelines. Through sharing work with Product Owners, you will identify strategies for how the service is best able to support business needs.
The successful candidate will either be located in 2 Ruskin Square – Croydon, Capital Buildings - Liverpool, Smedley Hydro - Southport regional office or Soapworks - Manchester. Under Home Office hybrid working practices there is an expectation that you will attend the office for a minimum of 60% of your working hours. This role is not suitable for part-time working due to business requirements and the nature of the role this is only available for full-time.
The Senior Data Engineer collects, organise and study data to provide business insight. Collaborating with fellow members of the Data Engineering community to set the direction of the service technology and data architecture. The post holder will also mentor more junior members of the team - promoting challenge, collaborating and encouraging an agile approach to working.
Tasks and responsibilities will include:
* Analysing problems and experimenting with possible solutions to find the underlying causes of issues or discrepancies to identify problems and to assist in the development of innovative solutions.
* Analyse and report on test activities and results, providing support to data engineers and stakeholders in addressing data analysis challenges.
* Designing and implementing a data streaming service, including the development of new data models and ETL processes.
* Ensuring the successful delivery of completed data loads for customers, Data Analysts and Data Scientists, troubleshooting where required.
* Designing, building and testing data products and solutions that are complex or large scale, through full development, test and deployment lifecycles.
* Applying concepts and principles of data modelling and producing relevant and varied data models across multiple subject areas and providing guidance on how to use them.
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