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Explore opportunities in transportation engineering, a field focused on planning, design, operation, and maintenance of transportation systems. Transportation engineers work to improve the efficiency, safety, and sustainability of infrastructure, including roads, railways, airports, and public transit. Professionals in this sector address challenges like traffic congestion, infrastructure deterioration, and environmental impact, contributing to the development of innovative solutions for modern transportation needs.

Job roles span a wide range, from entry-level positions to senior management, encompassing areas like traffic engineering, highway design, transportation planning, and intelligent transportation systems (ITS). The demand for skilled transportation engineers remains steady, driven by ongoing infrastructure projects and the need for sustainable transportation solutions. These roles often require a bachelor's or master's degree in civil engineering or a related field, along with strong analytical and problem-solving skills.

Singapore offers a dynamic environment for transportation engineering professionals, with numerous opportunities in both the public and private sectors. Key skills include proficiency in CAD software, knowledge of transportation modeling techniques, and familiarity with relevant regulations and standards. Search for transportation engineering jobs and advance your career in this vital field.

What People Ask

Transportation engineers are responsible for designing and overseeing the construction of transportation infrastructure. This includes roads, highways, railways, and airports. They also analyze traffic patterns, develop solutions to improve traffic flow, and ensure the safety and efficiency of transportation systems.

A bachelor's degree in civil engineering or a related field is generally required to become a transportation engineer. Many employers prefer candidates with a master's degree or specialized certifications in transportation engineering. Strong analytical, problem-solving, and communication skills are important for success in this role.

The average salary for transportation engineering positions in Singapore ranges from SGD 4,000 to SGD 8,000 per month, depending on experience and qualifications. Senior-level engineers with extensive experience can earn significantly more. Compensation packages often include benefits such as health insurance, retirement plans, and performance-based bonuses.

Career advancement opportunities in transportation engineering include roles such as senior engineer, project manager, and transportation planning manager. Professionals can also specialize in areas like traffic engineering, highway design, or intelligent transportation systems. Further education and certifications can enhance career prospects.

Top employers for transportation engineering in Singapore include the Land Transport Authority (LTA), SMRT Corporation, and various private engineering consulting firms. These organizations offer a range of opportunities for transportation engineers at different career stages. They are involved in major infrastructure projects and transportation planning initiatives.

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2 Transportation Engineering jobs in Singapore

Research Associate (Transportation Engineering/Computer Science)

Singapore, Singapore Nanyang Technological University

Posted 12 days ago

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Job Description

Research Associate (Transportation Engineering/Computer Science) page is loaded# Research Associate (Transportation Engineering/Computer Science)locations: NTU Main Campus, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R Transport Research Centre @ NTU ( ) is a research centre in collaboration between Land Transport Authority of Singapore (LTA) and Nanyang Technological University (NTU). The key objective is to support efforts to conduct mobility research for paving the way for Singapore's future land transport system.**Key Job purpose**Research into application of classical flow theories in modelling a heterogeneous mix of human-driven vehicles (HVs) and connected & autonomous vehicles (CAVs). Scope covers analytical modelling, large-scale simulation, and data-driven analysis, and quantify how platoon intensity, coordination protocols, and V2V communication influence congestion, throughput, and network resilience. Insights shall be distilled into clear, evidence-based recommendations to guide Singapore’s transition toward a safer, more efficient, and sustainable mixed-traffic future.**Key Responsibilities:*** Extend and adapt classical traffic-flow frameworks to embed CAV cooperative control, V2V communication, and platoon formation within mixed HV–CAV environments.* Design and execute large-scale simulations in Python/MATLAB using SUMO or Vissim; build automated pipelines for parameter sweeps and model calibration.* Deploy YOLOv8 + DeepSORT on UAV/CCTV video feeds to extract real-world vehicle trajectories; use these datasets to validate and refine your mixed-traffic models.* Quantitatively assess how platoon intensity and coordination protocols affect congestion, throughput, and safety; translate findings into high-impact publications, policy briefs, and student mentorship.* Publish technical findings in top-tier journals.**Job Requirements:*** Master in Transportation Engineering, Computer Science, or a related field.* Proficient in Python/MATLAB and experienced with traffic simulators (SUMO/VISSIM).* Peer-reviewed publications in CAV/traffic modelling, computer vision, or reinforcement learning.* Hands-on with YOLOv8 + DeepSORT and RL platforms (e.g., FLOW) for traffic control.* Excellent English communication - essential for data analysis and communication with stakeholders* Strong teamwork under deadlines; grant writing experience is a plus.We regret to inform that only shortlisted candidates will be notified.Hiring Institution: NTUNTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.For more information, visit
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Technical Lead – Data Engineering (AWS / Databricks / Air Traffic Management platform)

569813 $8000 Monthly ES RECRUITMENT PTE. LTD.

Posted 4 days ago

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1 year contract under employment agency payroll

Work location: Ang Mo Kio Area

Salary: Up to $8000 (company do not provide bonus)



Tech Lead - Data Engineer Job Description


Primary Purpose

We are seeking a highly skilled and hands-on Technical Lead to drive the design, delivery, and operational excellence of our next-generation Air Traffic Management (ATM) platform . This cloud-native platform is built for advanced data and analytics workloads. The Tech Lead will serve as the bridge between solution architecture, project delivery, and engineering execution. In addition to guiding a team of engineers, you will personally contribute to designing, coding, reviewing, and troubleshooting complex data solutions on AWS and Databricks , ensuring alignment with architectural standards, project timelines, and business objectives.


Key Responsibilities

Technical Leadership & Delivery

  • Lead a team of data engineers and developers in designing and delivering end-to-end data pipelines (batch, streaming, event-driven).
  • Actively write, review, and optimize code in Python/Scala, Spark, and SQL for Databricks and AWS-based solutions.
  • Translate architectural blueprints into actionable engineering tasks and contribute directly to their implementation .
  • Troubleshoot and resolve complex issues in production environments, ensuring reliability and uptime.
  • Ensure solutions meet requirements for performance, security, governance, and compliance in aviation domain contexts.
  • Oversee code quality, CI/CD workflows, observability, and DevOps best practices.


Collaboration & Stakeholder Management

  • Partner with the Solution Architect to validate and refine solution designs, building hands-on prototypes/POCs where required.
  • Work with the PM to align delivery milestones, manage dependencies, and escalate risks.
  • Collaborate closely with domain experts, data scientists, and external vendors to integrate analytics and AI/Gen AI use cases into production.


Innovation & Continuous Improvement

  • Introduce modern practices in data engineering, MLOps, and automation to enhance productivity and platform maturity.
  • Proactively identify bottlenecks in pipelines, infrastructure, and delivery processes, and drive technical solutions directly .
  • Mentor team members while also leading by example with hands-on contributions .


Requirement:

  • Locals only (Required to clear Cat 2 G50 clearance and pre-employment check)
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related discipline.
  • 7+ years in data engineering, cloud-native solutions, or related technical delivery roles.
  • 3+ years in a technical leadership or team lead role, balancing leadership with active technical contribution.
  • Strong hands-on experience with AWS cloud services (particularly for data engineering) and Databricks (Delta Lake, Spark, Unity Catalog etc.).
  • Proven track record in delivering secure, regulated-domain platforms ( aviat ion , finance, or public sector preferred).
  • Familiarity with Agile/Scrum delivery and cross-functional team collaboration.


Preferred Qualifications

  • Experience with AWS Databricks, Delta Lake, Live Data Streaming and medallion architecture.
  • Exposure to AI/Gen AI concepts or intelligent agent-based architectures.
  • Familiarity with aviation data standards (e.g., ADS-B, ARINC 424, flight schedules) or willingness to learn.
  • AWS Certifications in Data Analytics, Big Data, or Machine Learning.
  • Experience with real-time data processing and high-volume systems



ES Recruitment Pte Ltd (09C4235)

Hong Chiew Guat (R )

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