Principal Consultant Engineer (Consulting: Asset/Reliability Background)

AspenTech
São Paulo, Rio de Janeiro
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringExperience: 8-10 yearsSkills: ["Problem-solving","Analytical mindset","Customer engagement","Communication","Collaboration"]

Lead the end-to-end implementation of predictive maintenance and analytics solutions for industrial clients through AspenTech’s APM Professional Services. Design and deploy monitoring strategies using industrial time-series data, build data-driven decision systems, and translate asset knowledge into anomaly detection and failure prediction. Partner with product and client teams to deliver on time, scope, and budget while refining models for trusted production performance. Primarily focused on Mtell, with exposure to Fidelis and ProMV.

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FursaFursa
AspenTech
AspenTech
1 month ago

Principal Consultant Engineer (Consulting: Asset/Reliability Background)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 days agoStatus: Live

Job Summary

Lead the end-to-end implementation of predictive maintenance and analytics solutions for industrial clients through AspenTech’s APM Professional Services. Design and deploy monitoring strategies using industrial time-series data, build data-driven decision systems, and translate asset knowledge into anomaly detection and failure prediction. Partner with product and client teams to deliver on time, scope, and budget while refining models for trusted production performance. Primarily focused on Mtell, with exposure to Fidelis and ProMV.
Location: São Paulo, Rio de Janeiro
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Deliver consulting services including solution design, implementation, training, and advisory for Mtell (with exposure to Fidelis and ProMV).
  • •Lead end-to-end deployment of predictive maintenance solutions from data onboarding and modeling to production rollout and adoption.
  • •Design and integrate data-driven decision systems using industrial data sources such as historians and databases.
  • •Translate asset knowledge and data analysis into monitoring strategies to detect anomalies and predict failures.
  • •Collaborate with product management and client teams to deliver projects on time, scope, and budget.

Key Requirements

  • •8–10 years in industrial environments such as oil & gas, chemicals, or mining.
  • •Background in Mechanical, Chemical, Electrical, or Industrial Engineering.
  • •Experience with reliability, maintenance, or operations.
  • •Strong experience with industrial time-series data including data quality, signal validation, and pattern recognition.
  • •Understanding of failure modes, maintenance strategies, and root cause analysis (FMEA), including rotating and static equipment.
Experience:8-10 yearsOil & gasChemicalsMiningIndustrial environments
Skills:Problem-solvingAnalytical mindsetCustomer engagementCommunicationCollaboration
Languages:SpanishEnglishPortuguese
Tech Stack:MtellFidelisProMVAPMPythonSQLIndustrial time-series dataPIIP21OPCSAPHistoriansDatabases

Company Brief

AspenTech
Provides software and AI-driven solutions for process industries to optimize asset performance, engineering, and operations. Helps energy, chemicals, and manufacturing companies improve efficiency, reliability, and sustainability.
Industry: Industrial Automation
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bedford, United States
Founded: 1981
WebsiteLinkedIn