Data Engineer - Bootle, United Kingdom - Service Care Solutions - Criminal Justice

Tom O´Connor

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Description
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).

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