Engineering Mechanical

Intelliswift - An LTTS Company; Alberta; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company in Alberta is seeking a highly skilled Mechanical Engineer with extensive experience in reliability engineering. The role involves analyzing data to predict equipment failures, guiding maintenance teams, and utilizing AI tools for enhanced data analysis. Candidates should have a Bachelor's degree in Mechanical Engineering and a strong background in data analysis and trend monitoring.

Qualifications

• Minimum 12+ years of experience in Mechanical Engineering.
• Experience in reliability engineering required.
• Strong understanding of data analysis and trend monitoring.

Responsibilities

• Analyze data to predict equipment failures.
• Evaluate alarms from pressure transmitters.
• Develop and monitor trends from multiple data sources.

Skills

Data analysis

Mechanical engineering

Reliability

Trend monitoring

CMMS

PI Historian systems

Education

Bachelor's degree in Mechanical Engineering

Tools

AI tools

Data analysis software

Job description

Must Have Skills : Data analysis, Mechanical engineering, Reliability, Trend monitoring, CMMS, PI Historian systems

Job Details

• Job Title: Mechanical Engineer
• Location: Calgary, Canada
• Job Type: Full-time (40 hours/week)
• Experience Required: Minimum 12+ years of experience

Job Description

We are seeking a highly skilled and experienced Mechanical Engineer with a strong background in reliability engineering. The ideal candidate will have a minimum of 8+ years of experience and will be responsible for analyzing data from various sources to predict equipment failures and guide the maintenance team.

Key Responsibilities

1. Data Analysis: Analyze static, transactional, and cascading data obtained from Canadian assets to predict equipment or unit failures.
2. Alarm Evaluation: Assess alarms from pressure transmitters and other devices to determine if they indicate real issues or faulty equipment.
3. Trend Analysis: Develop, monitor, and interpret trends from multiple data streams, including calibration data sheets, P&ID diagrams, operational data, CMMS data, and PI Historian data.
4. Reliability Assessment and Studies: Evaluate equipment functionality based on available data and provide reliability assessments.
5. Criticality Assessment and Studies: Evaluate the criticality of equipment failures and recommend measures to prevent production losses.
6. Maintenance Guidance: Communicate findings and trends to the maintenance team and suggest necessary actions.
7. AI Integration: Utilize AI tools and the Asset Information Factory to enhance data analysis and generate insights.

Qualifications

• Bachelor's degree in Mechanical Engineering or equivalent.
• Experience in reliability engineering.
• Strong understanding of data analysis and trend monitoring.
• Ability to interpret and integrate data from multiple systems.
• Excellent communication skills for conveying technical information.
• Proficiency in AI tools and data analysis software.

Desired Skills

• Data analyst with Mechanical engineering degree and reliability experience.
• Familiarity with CMMS and PI Historian systems.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and within a team.

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Mechanical Engineering • Alberta, AB, Canada