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Maintenance engineer
Remote / Online - Candidates ideally in
3090, Rotterdam, South Holland, Netherlands
Listed on 2026-07-24
3090, Rotterdam, South Holland, Netherlands
Listing for:
Van Oord
Part Time, Remote/Work from Home
position Listed on 2026-07-24
Job specializations:
-
Engineering
Data Engineering
Job Description & How to Apply Below
THE POSITION
As a Maintenance Engineer, you play a key role in analysing and optimising the maintenance of our existing vessels. You contribute to the development of a maintenance strategy that is increasingly data-driven, based on sensor data, failure reports, operational profiles and historical maintenance information.
Using RAMS analyses, technical data and lessons learned, you translate raw information into concrete improvements in availability, reliability and maintainability. You identify trends and deviations in measurement data and convert these insights into predictive maintenance recommendations: performing maintenance when it is truly required, rather than at fixed intervals.
You work closely with colleagues within the Maintenance Engineering team in Rotterdam. With their strong operational experience, you bridge the gap between data analysis and practical execution.
YOUR IMPACT
In this role, you will:
Analyse operational measurement data (such as vibrations, temperatures, loads and running hours) to predict maintenance needs and identify risks at an early stage;
Propose concrete maintenance optimisations based on data trends and RAMS insights;
Develop and improve predictive maintenance models for existing vessels;
Collaborate closely with operational teams to translate failures and deviations into structural improvements in processes and component reliability;
Contribute actively to improving safety and availability within the RAMS framework;
Support decision-making by presenting clear analyses and recommendations to tactical and operational stakeholders.
ABOUT YOU
You are an analytical Maintenance Engineer who can translate complex technical insights into clear and actionable recommendations. You work in a structured manner, are comfortable working with data and feel responsible for sustainable improvements.
In addition:
You have experience with technical data analysis within an operational or asset-intensive environment;
You understand risk and availability analyses and know how to apply them to existing assets;
You preferably have experience with predictive maintenance techniques or interpreting sensor data;
You have a good command of the English language, both written and spoken.
WE OFFER
Competitive salary based on experience and responsibilities;
Travel allowance (€0.31/km) and home office allowance (€2.15/day);
32 leave days per year;
Variable bonus;
Pension scheme;
Optional collective health insurance;
Flexible hybrid working policy (up to 2 days/week from home);
Extensive learning and development opportunities, including Good Habitz online courses.
'You come up with something at your desk and then see it actually working on a ship. That’s incredibly rewarding.' Thomasz Engineer Production Automation
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