Asset Engineer - Process & Operations

SGS; Rochester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading engineering firm in the UK is seeking an Asset Engineer - Process & Operations to enhance operational processes and ensure safety on site. This full-time, six-month role requires strong analytical skills, proficiency with tools like Power BI, and ability to collaborate across disciplines. The ideal candidate will effectively communicate findings and drive efficiency initiatives to optimize plant operations.

Qualifications

• Strong analytical and problem-solving skills with the ability to diagnose root causes of asset performance issues.
• Proficiency in data analysis and reporting tools such as Power BI.
• Understanding of maintenance systems and change management processes.
• Knowledge of cross-disciplinary site operations.

Responsibilities

• Investigate and diagnose asset performance issues.
• Lead initiatives to improve operational efficiency.
• Develop cross-disciplinary solutions to operational challenges.
• Present findings and insights to senior leadership.

Skills

Analytical skills

Problem-solving skills

Communication skills

Data analysis with Power BI

Stakeholder management

Tools

Power BI

Maximo

Job description

Join to apply for the Asset Engineer - Process & Operations role at SGS

Our Client, National Grid Isle of Grain, are currently looking for an Asset Engineer - Process & Operations working within the Asset team, responsible for monitoring and analysing operational processes to ensure optimal efficiency and safety. The successful candidate will require a good understanding of site operations, how maintenance is carried out across multiple disciplines, root cause analysis, and good communication skills. We are planning for an immediate start, on a six-month contract. This is a full-time site-based role.

PAYE only

Key Responsibilities Include

• Performance analysis and diagnostics: Investigate and diagnose asset performance issues, either through direct reporting from Operations or by conducting reviews such as monthly meetings, process surveillance, or utilisation reports.
• Define desired outcomes for improvement initiatives while minimising disruption to plant operations and avoiding unnecessary burdens on Maintenance teams.
• Process and System Optimisation: Lead initiatives to improve operational efficiency, such as streamlining maintenance capture in Maximo, managing Risk Register items, and implementing solutions that may involve Change Requests (CRs) or operational expenditure (OPEX).
• Example initiatives may include optimising equipment running order, refining inspection processes, or improving preventive maintenance strategies.
• Cross-Disciplinary Collaboration: Develop a strong understanding of site operations and maintenance practices across C&I, Mechanical, Electrical, and Cyber/Systems disciplines.
• Translate operational challenges into effective, cross-functional solutions that address root causes and deliver measurable outcomes.
• Stakeholder Engagement and Reporting: Present findings, recommendations, and data-driven insights to managers and senior leadership in a clear, structured manner.
• Use tools such as Power BI and emerging technologies (e.g., machine learning, Cognite) to support data-driven decision making.
• Anticipate and address questions from leadership, ensuring alignment with organisational goals.
• Ad Hoc and Interdisciplinary Work: Undertake tasks that fall outside the scope of discipline-specific Asset Engineers, leveraging broad knowledge of interdependencies between teams and disciplines.

Requirements

• Strong analytical and problem-solving skills with the ability to diagnose root causes of asset performance issues.
• Proficiency in data analysis and reporting tools (e.g., Power BI), with the ability to present complex findings clearly to senior stakeholders.
• Understanding of maintenance systems (e.g., Maximo) and change management processes.
• Knowledge of cross-disciplinary site operations (C&I, Mechanical, Electrical, Cyber/Systems).
• Familiarity with emerging technologies (e.g., ML, Cognite) and their application to asset performance optimisation.
• Strong communication and stakeholder management skills.