Asset Performance Management (APM) / Asset Predictive Analysis (APA) Engineer

Overview

Engineer driving asset performance and predictive maintenance in oil & gas.

Key Responsibilities

• predictive modeling
• health monitoring
• system integration
• kpis tracking
• root cause
• reliability strategy

Tasks

In addition to technical responsibilities, this role will also support PMO activities, contributing to project governance, progress tracking, and alignment of project team. So, this is a hybrid role. -Assist in business case development for digital asset solutions and support Steering Committee presentations. -Deploy and fine-tune real-time equipment health monitoring using sensor data (vibration, temperature, flow, etc.). -Lead Asset Codification, Criticality Assessment, and alignment of FMEA with CMMS failure modes. -Track milestones, risks, and KPIs associated with APM/APA initiatives using PMO tools (MS Project, Power BI, Primavera). -Support adoption, training, and change management efforts. -Contribute to planning, execution, and governance of predictive maintenance and asset reliability projects under the Digital Transformation Program. -Maintain project artifacts including charters, WBS, test cases, and lessons learned in various projects. -Build and validate ML-driven predictive maintenance models, incorporating AI pattern recognition, anomaly detection, and digital twins. -Ensure alignment with data governance, safety, and cybersecurity standards for OT systems. -Collaborate with engineers, IT, operations, vendors, and data scientists to deliver high-quality outcomes. -Define and track Asset Health Indices and develop dashboards showing trends, KPIs, and predictive alerts. -Develop, implement, and optimize asset strategies (PM, CBM, PdM, RBI) using Reliability-Centered Maintenance (RCM) principles. -Interface with Process Historians (e.g., OSIsoft PI), CMMS (SAP, Maximo), and APM platforms (e.g., GE APM, Aspen Mtell, AVEVA Predictive Analytics). -Conduct Root Cause Analysis (RCA) and link findings to predictive algorithms for improved accuracy. -Participate in Risk-Based Inspection (RBI) strategy development and implementation for static equipment.

Requirements

• pmp
• predictive analytics
• aveva pi
• mechanical eng
• rcm
• scada

What You Bring

We are seeking a results-driven APM / APA Engineer with 6–8 years of relevant experience in asset performance improvement, predictive maintenance analytics, and digital transformation within the oil & gas or petrochemical industry. The ideal candidate will possess a Core Engineering background (preferably Mechanical or Chemical) with hands-on exposure to condition-based monitoring, reliability frameworks (RCM/FMEA/RCA), and machine learning-based predictive models. -PMP, PRINCE2, or Agile certification is desirable but not mandatory. -Exposure to cutting-edge technologies in the digital asset management ecosystem. -Practical experience with predictive analytics platforms and ML/AI tools in an industrial setting. -Familiarity with industry-standard tools such as AVEVA PI, GE APM, Aspen Mtell, SAP PM, IBM Maximo, or Honeywell Forge APM. -Bachelor’s degree in Mechanical, Chemical, or related engineering discipline. -Certifications in RCM, FMEA, or Reliability Engineering are a plus. -Hands-on experience with process historians, DCS/SCADA data, and sensor integration. -Flexibility to travel to field sites and support hands-on diagnostic or deployment work is extremely important. -Strong communication skills with the ability to coordinate across multidisciplinary teams. -Working knowledge of project lifecycle, documentation standards, and governance frameworks. -4-6 years of experience in APM/RCM/CBM/PdM engineering within oil & gas or petrochemical sectors. -Strong knowledge of asset failure mechanisms, maintenance optimization, and condition monitoring.

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Benefits

-Opportunity to work on high-impact asset reliability and predictive analytics programs with leading energy clients. -Competitive compensation, site/project allowances, and performance-based incentives. -Collaborative work environment that encourages technical innovation and cross-functional learning.

About Tecnicas Reunidas

-specializes in engineering, procurement, and construction (EPC) services, delivering complex industrial projects. -focuses on energy, industrial, and infrastructure sectors, providing innovative solutions across diverse markets. -has successfully executed major projects worldwide, including large-scale energy plants, water treatment facilities, and transport infrastructure. -recognized for technical expertise, project management capabilities, and commitment to quality in delivering large-scale projects on time and within budget. -stands out for experience in both traditional and renewable energy sectors, making it a versatile player in the global energy transition. -continues to expand its international footprint, completing high-profile projects across Europe, the Middle East, and Asia.

Sector Specialisms