CSV Engineer

Cork
3 months ago
Applications closed

Cognizant is a world leader in delivering digital transformation solutions to Life Sciences. Through our knowledge and expertise in Automation, MES & Digital, we deliver stable manufacturing systems that are optimized to improve operational efficiencies, whilst maintaining compliance.

Our specialist engineering teams have the aptitude to deliver and support Pharma 4.0 architectures and solutions covering all IT, OT and IoT applications, infrastructures and services.

Operating across 5 continents and with over 300.000 skilled employees, Cognizant partners with the leading Life Sciences companies globally to provide performance improvements, reduced costs and improve time to market. We are your single end to end partner for consultancy, design implementation, optimization and support for all applications in the Pharmaceutical and Biotechnology Manufacturing stack.

We’re looking for dedicated, innovative and driven talent to join our expanding team.

About the role:

We are currently looking to hire an CSV Validation Engineer to join our projects team in Cork, supporting multiple projects with the worlds leading Pharmaceutical and Biotech companies.

Responsibilities include but are not limited to:

  • Automation Change (IRIS) Review and Approval

  • Experience with Emerson Delta other DCS System PLC SCADA

  • Develop and complete continuous improvements as part of the validation team- Co-ordination of changes to ensure timely delivery.

  • CSV Deliverables including 21CFR11 Assessments Annex 11 Assessments Business Criticality Assessments GAMP Assessments

  • Review and Approval of Automation Designs

  • Installation and Operation Qualification (IOQ) Protocol Generation Execution and Reporting for DeltaV (PAS) PLCs Honeywell (QBAS/NQBAS) MES

  • Test specification pre-approval review and post approval prior to progression to IOQ- Change Control Impact Assessments

  • Maintenance Review and Approval of site Quality documentation e.g. SLIA CLIA System

    Essential Criteria

  • BS in Engineering, Computer Science, Science or other technical degree.

  • 3-5 years’ experience of working in a pharmaceutical API manufacturing operation is desirable.

  • Experience with Labware any LIMS essential

  • Candidates will be required to have excellent communication/interpersonal skills with the ability to work on their own initiative.

  • iRCAS Communication Skills

  • Must be available to work minimum 3 days per week onsite

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.

The Skills Gap in Edge Computing Jobs: What Universities Aren’t Teaching

Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential. From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready. Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs. This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.