Operational Technology Engineer - Cybersecurity

Plymouth
1 week ago
Create job alert

Experienced I.T. professional required to work join as Operational Technology Engineer for global business based at their Plymouth site. Reporting to the Operational Technology lead, the successful candidate will manage the ongoing development and maintenance of the (OT) systems at the Plymouth site
If you have a growth mind-set coupled with a willingness to expand your skills / experience and would like to work for a company that will offer you a career path & fantastic benefits package then look no further!
Key Responsibilities:

  • Conduct OT asset inventory discovery, management, and asset risk assessments.
  • Support network architecture changes in line with OT security programme policy changes.
  • Drive plant initiatives and project specification, risk assessments and policy adherence activities.
  • Implement protocols to ensure accurate OT device recognition and management ensuring to follow OT policy and guidelines.
  • Lead Cyber-risk awareness and security policy training, to enabling the business to maximise system usage benefits while integrating cybersecurity measures to protect data integrity and security.
  • Complete third party vendor risk assessments, critical patch implementation, application whitelist testing and implementation. Diagnosing root causes of system failures and define and undertake appropriate corrective actions.
  • Co-ordinating OT process/system change management and organise testing or approval of changes. Implementing all change requests using the approved company methodology, ensuring the appropriate level of authorisation and documentation.
  • Engage in ongoing educational and self-development activities as required by the role.
  • Provide business and regulatory data reports and relevant information to meet customer needs utilising available Business Intelligence technologies.
  • Work with other business teams to ensure correct usage of the systems.
    Essential Qualifications, Experience and Candidate Attributes Required:
  • First class or 2:1 honours degree from a recognised university specialising in an engineering or IT discipline. In the absence of a degree, relevant experience coupled with a HND / HNC in an Engineering or IT based discipline will also be considered.
  • A recognised cybersecurity qualification coupled with relevant experience. Strong knowledge of cybersecurity policies & governance.
  • Several years relevant experience in a manufacturing environment, ideally medical device manufacture or pharmaceutical.
  • Demonstrated experience with networking, software, control systems and industrial firewalls in a related environment.
  • Broad demonstrable experience of Enterprise IT systems, networking protocols and hardware with a keen interest in the OT environment and the interface between the IT and Control Systems Engineering disciplines.
  • Demonstrated achievement with software and control systems in a related environment.
  • Ability to read and interpret electrical drawings, network schematics (physical and logical) and floor plans.
  • Ability to process, combine, and analyse large disperse datasets to produce meaningful insights.
    Beneficial Experience and Knowledge:
  • Experience and working knowledge of change control processes within a regulated medical device manufacturing environment.
  • An understanding of Allen Bradley, Siemens and / or Omron PLC systems.
    Benefits on Offer:
  • Life assurance and Critical illness cover.
  • Private Medical Insurance.
  • Reward & Recognition scheme linked to Health & safety and Continuous Improvement.
  • Employee Assistance Program, supporting the physical, mental and financial wellbeing.
  • Flexible benefits including cycle to work scheme.
  • Matched contribution Pension scheme up to 10% of salary.
  • Share save scheme – matched up to £150 per month.
  • Subsidised canteen.
  • Free car parking.
    The successful candidate will be required to work core office hours of Monday to Friday 08:30 to 16:30. The successful candidate will have the opportunity to work a hybrid model comprising of 4 days on site with 1 day working from home.
    Please note, our client does not possess a Skilled Worker Visa Sponsorship Licence, therefore to apply for this position candidates must have the immediate right to work in the UK.
    If you have the experience and qualifications listed above and are currently looking for a new challenge, then please submit an up to date CV by using the ‘apply’ button below

Related Jobs

View all jobs

Operational Technology Engineer - Cybersecurity

Cyber Security Engineer

OT Engineer

Systems and Infrastructure (Intelligent Infrastructure) Speculative Opportunities

Asset Care Manager

Lead Machine Learning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.