Data Security Engineer

Data Security Engineer

Bristol / Edinburgh

Up to £95,000 + great benefits

This business is undergoing a huge technology transformation and are looking for a Data Security Engineer to work with the data teams to ensure that all customer data is secure. The business is making data engineering central to understanding the customer journey, so a the successful Data Security Engineer will be working closely with leadership in both the Cyber and Data teams. This business is going through a big technology transformation programme that is estimated to take 3 -5 years. The successful Data Security Engineer will be part of this journey and have great technical exposure and the ability to rapidly progress.

Data Security Engineer

Duties and Responsibilities

The successful Data Security Engineer will:

• Supportthe development and implementation of comprehensive data security strategies, policies and procedures.
  
  
• Work with the Enterprise Security Architect to design and deploy security architectures for data protection, including encryption, access controls and data masking
  
  
• Manage data encryption solutions to ensure the confidentiality and integrity of sensitive data.
  
  
• Collaborate across the Security Team to develop and deliver encryption key management processes and systems.
  
  
• Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud.
  
  Data Security Engineer – Your Background
  
  The ideal Data Security Engineer will have:
  
  
• Experience in a similar role, in both leadership and Knowledge
  
  
• 3+ years of experience in a hands-on Cyber Security focused role, primarily in the data security domain.
  
  
• A strong & demonstratable knowledge of security frameworks, standards and regulations (NIST, GDPR for example).
  
  
• Familiarity with cloud security principles and experience working with cloud platforms such as AWS and Snowflake.
  
  
• A clear and demonstratable understanding of data science principles and practices.
  
  
• Any security focussed experience with the use of AI Tooling within data science is welcome