Assistant IoT Engineer

ELEMENT GEOTECHNICAL TESTING (S) PTE. LTD.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A geotechnical instrumentation firm in Singapore is seeking an IoT Engineer to implement and maintain geotechnical instrumentation systems. The role demands expertise in IoT protocols and sensor integration, alongside managing data flow between edge devices and cloud databases. The ideal candidate will have an engineering background and experience in data management within the geotechnical field, ensuring precise monitoring for infrastructure safety. Travel to project sites may be required.

Qualifications

• Diploma or Degree in a relevant engineering field.
• Certifications in IoT and cloud platforms are a plus.
• Experience with IoT protocols and sensor integration.

Responsibilities

• Design, implement, and maintain IoT sensor networks.
• Build and manage data pipelines from edge devices to cloud.
• Collaborate with engineers to develop dashboards.

Skills

IoT protocols (MQTT, FTP)

Sensor integration

Embedded systems

SQL databases

Data transformation logic

Cloud services

Geotechnical instrumentation

Problem-solving

Education

Diploma or Degree in Electronics, Mechatronics, Computer Engineering, Civil Engineering, or Mechanical Engineering

Certifications in IoT, data engineering, cloud platforms

Job description

Job Title: Associate IoT Engineer – Geotechnical Instrumentation

Location: Singapore
Department: Engineering / Data Strategy
Reports To: Data Integrity and Strategy Manager

Job Summary

We are seeking a skilled and proactive IoT Engineer to assess, implement, and maintain IoT-based geotechnical instrumentation systems. You will be responsible for selecting and integrating sensors and communications devices, managing data pipelines, and ensuring reliable data acquisition for structural and geotechnical monitoring. This role bridges hardware deployment, cloud integration, and data integrity, supportingreal-time alerting and reporting systems for engineering decision-making.

Key Responsibilities

Sensor setup and system design

• Design, implement and maintain IoT sensor networks and data acquisition systems for geotechnical applications (e.g., piezometers, inclinometers, strain gauges, total stations, etc.).
• Identify and specify field data acquisition hardware such as nodes, loggers and gateways.
• Select, assess, configure, and maintain sensors and communication devices for accurate data acquisition.

Data Acquisition, Transformation, and Management

• Build and manage data pipelines from edge devices to cloud on on-premise-hosted databases.
• Implement transformation logic for raw sensor data based on project-specific rules.
• Ensure data quarantine and release workflows, and alert rules and escalations are correctly programmed and integrated.
• Collaborate with field teams to set up data monitoring systems for projects.
• Ensure secure data transmission and storage using best practices.
• Monitor system health and uptime of IoT infrastructure.

Collaboration & Reporting

• Work with IT Engineers and other Instrumentation Engineers and Surveyors to develop dashboards and ensure seamless data flow.
• Support reporting automation and data visualization efforts.
• Provide technical documentation and training for field teams and stakeholders.

Requirements

Qualifications

• Diploma or Degree in Electronics, Mechatronics, Computer Engineering, Civil Engineering, Mechanical Engineering, or related field.
• Certifications in IoT, data engineering, cloud platforms (Azure, AWS), or communications protocols are a plus.

Skills & Experience

• Experience with IoT protocols (MQTT, FTP), sensor integration, and embedded systems.
• Familiarity with SQL databases, data transformation logic, and cloud services.
• Knowledge of geotechnical instrumentation is highly desirable.
• Strong problem-solving and debugging skills in field deployments and data flow

Preferred Attributes

• Passion for precision monitoring and infrastructure safety.
• Ability to work independently and collaboratively across engineering and data teams.
• Willingness to travel to project sites for sensor deployment and troubleshooting.