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Azure Engineering Lead

London
£80000 - £100000 per annum + bonus, pension

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Azure Engineering Lead
London
Up to £100,000

A fast growing credit card provider, your role will be pivotal in protecting customer data as the company become one of the first fully cloud based financial institutions.

THE COMPANY

As one of the largest credit card providers in the UK, this company are fast-paced, with ambitious growth plans and high investment into data development. Working with over 5 million customers on their card products, the company is opening up new areas as the business grows out.

THE ROLE

Sitting in a brand new team, this role will be the lead for the security controls with Azure:

  • Identify and assess threats to the business across all digital data
  • Design and enhance security configuration through to implementation and testing of controls
  • Work closely with DevOps to deliver automation in the CI/CD pipeline
  • Ongoing assessment, review and challenge of the security processes, ensuring adequate tools and techniques are in place to identify weaknesses and risk correctly
  • Communicate with senior stakeholders to ensure risk reports are full, accurate, and understood

YOUR SKILLS & EXPERIENCE

  • Strong understanding of Azure data security architecture, data protection and Cloud Platform services
  • Hands on scripting experience
  • Full cycle experience including design, deployment and development of security technologies for an Azure platform
  • Understanding of business wide security risks, controls and processes, preferably from a financial services environment with regulatory knowledge
  • Hands on experience pen testing
  • Azure cloud certifications will be advantageous

BENEFITS

Up to £100,000
Competitive bonus
Health and medical insurance
26 days holiday, increasing with service
1.5x pension contribution

HOW TO APPLY

Please register your interest by sending your CV to Rosalind Madge via the Apply link on this page.

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80510/RM
London
£80000 - £100000 per annum + bonus, pension
  1. Permanent
  2. Big Data

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How Are Data & Analytics Professionals Mapping COVID Trends With Data?

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Amy Topcakan

Amy Topcakan

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Using Data Ethically To Guide Digital Transformation

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Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. 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