Data Management Specialist

Data Management Engineer x 3

Inside IR35

ON site - Warton Preston

£30.49 per hour

• The data management engineer is a dedicated role which supports the delivery of data quality management governance activities and actions.
• The data management engineer is a data practitioner who will be responsible for executing business data change processes and implementing data changes in the systems of record which are owned by their assigned function and/or line of business.
• Fixes to source system data may be delivered either manually or via automated means such as scripts and automation workflows, and suitable delegated authorities may need to be sought in order to execute system changes.
• The data management engineer directly contributes to improved business performance through the hands-on delivery of data quality improvements either as part of a 'data cleanse' service team or as a singleton role embedded directly within a function or line of business.

In delivering their accountabilities the data management engineer will work closely with representatives of their assigned function and/or line of business and will develop a comprehensive understanding of the data which is 'owned' by that organisation.

Typical duties include (but are not limited to):

• Working with stakeholders in their assigned function/SDU/LoB in order to identify, elaborate and triage data cleanse requirements
• Working with functional and line of business representatives in order to identify data standards, change processes and authorities associated with data changes and using these to support the definition of 'change patterns' for each type of data
• Agreeing data changes in accordance with the change pattern - including (where necessary) the raising of the business change authorities and securing their approval
• Implementing agreed data changes including (where necessary) gaining systems access and making the requisite changes, either manually, or utilising automated methods
• Agreeing change closure with the requirement owner, including the confirmation of business benefits
• Attending and providing reporting into data quality reviews

Knowledge:

• Familiar with the principles of data management as defined in such artefacts as the Data Management Body of Knowledge (DMBOK)
• Have a working knowledge of configuration management principles, particularly with reference to data
• Have knowledge of data change and migrations methods including both manual and automated (e.g. scripted) methods using toolsets such as python and alteryx
• Have a working knowledge of the principles of data analysis using tools like Tableau and Excel