Data Engineer

Service Care Solutions are looking for a Data Engineer to work on a remote basis for a Government Entity.
You will manage the Government Entity's data estate, ensuring that data remains confidential, integral, available (CIA), and relevant to business requirements. Monitoring all data flows and the use/re-use of data across the organisation to ensure that systems,business analytics and business intelligence are appropriately supported.
This role will engage with users, supporting their needs and ensuring that a high-quality customer focused service is delivered. Your day-to-day duties will include (but are not limited to):

- Deputising for the Lead Application Operations Engineer
- Supporting the Data Architect in designing and implementing a Data Strategy and data architectures to deliver business priorities and objectives
- Leading the delivery of database Incident Management (Corrective Maintenance), Problem - Management (Preventative Maintenance) and Change Management (Adaptive and Perfective Maintenance).
- Documenting all databases, data interfaces and data flow diagrams, maintaining the accuracy of documentation to reflect changes and fixes.
- Maintaining a secure configuration management database with an accurate record of database assets.
Essential:

- A solid background in database administration, with a proven track record in both supporting and building SQL databases within a professional environment.
- Experience of leading database engineering teams
- Windows Clustering and other HADR technologies.
- A clear support focus with evidence of time spent performing Tier 2/3 support for SQL Databases.
- Experience working within ITIL framework delivering Incident/Problem/Change Management.
- Effective communication skills.
- Working knowledge of Microsoft Office.
Desirable:

- Database certification (e.g., MCSA, MCSE).
- Experience with Oracle & Ingres.
- Experience of working within a virtualised environment, including virtualised SQL servers using VMWare.
- Experience with ODS, Data Marts, Data Warehouses and Data Lakes.
- Experience with SSIS, SSAS.
- Familiarity with QlikView and PowerBI.
- Programming knowledge (PowerShell, Python, R, JSON, XML).