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Data Anonymisation Specialist
Job Posted: 2 days ago
Salary: £ 650 - 700 / Day
Job Type: Contract
Location: S1, Sheffield, South Yorkshire
Expire in: a month
Job Description
Data Anonymisation Specialist
We are looking for a Data Anonymisation Specialist to join a financial services client based in Sheffield.
The team are looking to hire a data anonymisation specialist who can be an integral part of helping the business to manage and mitigate any risks associated with third-party data sharing, across several short, medium and long-term planned activities.
The Role
We are specifically looking for someone with experience in supporting data anonymisation processes and an understanding of data types, structures and schemas. Applying your skills while considering the importance and impact of data security as a whole in a highly regulated environment is crucial.
This is a great opportunity to be part of a developing service where your input is valued and can help drive its maturity and efficiencies for the future.
Key Responsibilities:
* Advise application teams on
* Creation of data dictionaries
* Identifying sensitive data
* Define suitable anonymisation approaches
* Assign column level masking algorithms
* Operate the data masking service
* Support the data masking service
* Working with software vendor support and consultation services
* Some out-of-hours work supporting the masking service is required
Experienced required:
* Proven experience with
* Structured data
* Data anonymisation analysis
* Data masking techniques
* Experience working with masking technology platforms
* Technical troubleshooting
* Working with stakeholders and building relationships
* Excellent verbal and written communication skills
* Immediate start (within 4 weeks)
Desirable:
* Experience with writing and supporting Python code
* Experience with Delphix data masking or similar tooling
* Experience working in Azure or other cloud environment
* Experience in Financial Services or similar regulated sectors
More details available on successful applicationBefore You Apply
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