National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

IT Manufacturing Specialist

Riyadh
3 weeks ago
Create job alert

Role profile:

Take responsibility for process control systems, to be compliant with all company standards and regulatory protocols. Support production with professional, expert knowledge and maintain QMS requirements.

Role requirements:

Responsible for the role of IT/OT for computerised equipment and participation in IT and Automation projects
Support the development of documentation, specifications and standards for equipment at operational stage, remaining compliant with company expectations
Maintain design documentation of equipment, including (re)validation and qualification
Develop and review of SOPs in accordance with company goals and regulatory requirements, ensuring that equipment operates at optimal performance and organising workaround or fix if appropriate
Support with development and implementation of maintenance strategy for equipment
Monitor failure mode analysis, suggest improvements, investigate deviations, identify and track details of investigations, risk assessments and implement corrective actions
Follow the SPS (Systematic Problem-Solving approach) and enforce and model this behaviour in the team
Manage changes through the investigation cycle
Exercising exemplary Quality mindset throughout the entire lifecycle Your background:

Bachelor's degree in a discipline such as: Computer Science, Information Technology, Engineering, or related.
3 years minimum of Engineering experience in process control systems, including automation controllers programming languages, Industrial Networking (Ethernet, Asi-bus, Profibus) and able to read and interpret technical drawings
Demonstrable specialised training in automation and control systems
Sound working knowledge of challenges around data integrity, information security and cyber-security
Must be self-motivated and able to work independently, results-focused and a dedicated team-player
Familiarity with GMP and 21 CFR Part 11 (electronic records and signatures) - a background from the pharmaceutical sector is highly advantageous
You will be familiar with validation processes specific to pharmaceutical equipment including IQ, OQ and PQ
Good communication skills, both in written and verbal English; collaborative and able to manage change through negotiation and influencingCarbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy

Related Jobs

View all jobs

ERP Master Data Analyst

IT Manager (Manufacturing)

IT Technician

IT Support Engineer

Data Analyst

Data Analyst

National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.