
Digital Industrial Solutions Expert
1 dia atrás
Job Summary:
">Specialist Maintenance Engineer
">As a Specialist Maintenance Engineer, you will work closely with cross-functional teams to co-create cutting-edge digital solutions for asset-intensive industries. Your role will focus on improving reliability, asset performance, process optimization, and risk management through advanced engineering practices and data-driven insights.
">We are looking for a technically expert professional with deep knowledge in rotating equipment and predictive maintenance, capable of driving innovation and supporting the development of next-generation digital industrial solutions.
">Responsibilities:">- Act as a technical mentor and facilitator for the engineering team, leading technical analyses, FMEA studies, and prioritizing opportunities aligned with our strategic roadmap.
- Conduct feasibility studies, scout innovations, and assess economic and technical viability to support investment decisions.
- Develop and optimize industrial processes to ensure operational efficiency, safety, and quality compliance.
- Apply in-depth mechanical engineering expertise on rotating equipment, including dynamic and thermodynamic behavior, control systems, monitoring, diagnostics, and operations, to identify continuous improvement and cost reduction opportunities.
- Define technical requirements and guide development of algorithms and models focused on performance monitoring, failure prediction, anomaly detection, energy efficiency, and emissions reduction.
- Collaborate with multidisciplinary teams to design and implement data strategies that enhance decision-making and process effectiveness.
- Take an active role in solving complex technical challenges, providing innovative, high-quality solutions to support project goals.
- Consistently contribute to the development of our digital products, detailing and prioritizing features and user stories.
- Support technical and commercial proposal development for new projects.
- Bachelor's degree in Mechanical Engineering or related fields.
- Solid experience in the Oil & Gas industry or similar environments, with proven knowledge in predictive maintenance, asset diagnostics, and industrial operations.
- Deep understanding of rotating machinery, sensor systems, performance monitoring, protection schemes, failure modes, and equipment specifications.
- Hands-on experience with PI AF (Asset Framework) for data analysis and building predictive models.
- Strong background in asset integrity and performance management, and ability to facilitate studies such as HAZOP, HAZID, RCA, FMEA, and RCM.
- Knowledge of industrial process operation and control.
- Basic understanding of industrial automation, DCS, protection systems, and condition monitoring tools.
- Familiarity with data acquisition systems, vibration analysis tools, PIMS, and OPC servers.
- Working knowledge of data analysis, machine learning algorithms, and digital software architecture.
- Experience with agile methodologies and continuous improvement tools.
- Advanced English proficiency.
- To be available to work at our offices.
- CREA registration is desirable.
- Additional training or courses in rotating equipment and data analysis.
- Knowledge of Python, Data Science, Machine Learning, and Statistics.
- Lean Six Sigma certification (Green or Black Belt).
- Profit Sharing: Possibility of extra compensation based on our results, according to your performance.
- Health and Dental Plan: To ensure your care and well-being.
- Flexible Benefit: Receive an amount that can be used according to your needs.
- Flexible Hours: Work at the best time for you and have a better quality of life.
- Mentorship Program: Access development opportunities with the help of experienced professionals.
- Gympass: To keep your health in check and take care of your body.
- Inclusive Environment: We value diversity and always strive to create a space where everyone can be authentic, respected, and feel part of something bigger.
- Mid-Senior level
- Full-time
- Management and Manufacturing
- Software Development
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