New opportunity

[LTA-IDE] PRINCIPAL/ SNR ENGINEER (COMMON DATA ENVIRONMENT & PLATFORMS)

LTA Land Transport Authority · Singapore

About this role

The Land Transport Authority (LTA) is seeking a Principal/Senior Engineer to manage and enhance Common Data Environment (CDE) platforms and digital engineering systems. This role is critical for supporting infrastructure project delivery through system integration, information management, automation, and AI-enabled solutions. The successful candidate will work with internal stakeholders and technology vendors to deliver scalable digital solutions that strengthen LTA's digital engineering ecosystem. Responsibilities include administering CDE platforms, designing automation for engineering workflows, developing integrations between enterprise systems, and supporting the implementation of AI and Generative AI solutions. The engineer will also establish platform governance, develop analytics dashboards, and evaluate emerging technologies to improve digital capabilities. Candidates should possess knowledge in Computer Science, Information Systems, Data Science, Software Engineering, or Civil Engineering, along with experience in digital platform implementation, software development, or systems engineering. Demonstrated experience in implementing technical solutions is required. Preferred competencies include experience in data engineering, systems integration, workflow automation, and familiarity with BIM workflows. Strong systems thinking, analytical capabilities, and a passion for AI and digital transformation are essential.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

PythonSQLREST APIsPower PlatformJavaScriptCloud-based servicesAutodesk Construction CloudBentley ProjectWiseSharePointAzure ServicesPower BIEnterprise Search PlatformData EngineeringSystems IntegrationWorkflow AutomationGenAIAI Solutions DevelopmentKnowledge Management PlatformsDigital Product DevelopmentBIM workflows

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

CDE Platform Administration and Enhancement
The core responsibility involves managing and improving Common Data Environment (CDE) platforms like Autodesk Construction Cloud or Bentley ProjectWise. You must ensure these systems effectively support infrastructure project delivery, which requires deep technical knowledge of information management controls and platform governance.
Engineering Workflow Automation and Integration
You are expected to design and implement automation solutions that streamline engineering processes. This requires building robust integrations between engineering platforms and enterprise systems using tools like Python, SQL, and REST APIs to improve overall organizational effectiveness.
AI and Data-Driven Solution Implementation
A key priority is the deployment of AI, Generative AI, and analytics solutions. You must translate operational needs into technical dashboards and AI-enabled tools that provide actionable insights for engineering and corporate decision-making.
Stakeholder Collaboration and Requirements Translation
Success depends on your ability to work across multidisciplinary domains, collaborating with engineering users and technology vendors to convert complex business requirements into practical, scalable digital solutions.

Likely challenges to think through

Bridging Engineering and IT Domains
The role requires balancing the technical rigor of software engineering with the specific needs of civil engineering and BIM workflows. Prepare by demonstrating your ability to speak the language of both software developers and infrastructure engineers to ensure solutions are technically sound and operationally relevant.
Managing Legacy Systems and New Tech Integration
Integrating modern AI or cloud-based services with established enterprise engineering systems can be complex. Prepare by highlighting your experience in systems integration and your strategy for maintaining platform stability while introducing innovative technologies.
Establishing Governance in Dynamic Environments
Implementing metadata standards and governance across large-scale infrastructure projects is challenging due to the volume of data and diverse stakeholders. Prepare by discussing your approach to creating scalable information management frameworks that do not hinder project velocity.

Practice your answers

Technical practice

Designing Integrations for Engineering Platforms

What to coverExplain your approach to integrating disparate systems like Autodesk Construction Cloud or Bentley ProjectWise with enterprise applications. Discuss how you handle data consistency, API rate limits, and authentication when using REST APIs to connect these environments.

Workflow Automation Strategies

What to coverDescribe a scenario where you automated a manual engineering or business process. Focus on the tools used, such as Power Platform or Python scripts, and how you ensured the solution was scalable and maintainable for end-users.

Implementing Generative AI in Engineering

What to coverHow would you evaluate the feasibility of applying Generative AI to improve engineering productivity? Discuss the importance of data quality, security, and governance when integrating AI solutions into existing enterprise workflows.

Data Engineering for Analytics Dashboards

What to coverDetail your process for transforming raw data from engineering systems into actionable insights in Power BI. Address how you handle metadata standards and data cleansing to ensure the accuracy of operational dashboards.

CDE Platform Governance and Security

What to coverWhat are the key considerations when establishing governance for a Common Data Environment? Explain how you manage user access, information security, and metadata standards to support large-scale infrastructure project delivery.

Troubleshooting System Integration Failures

What to coverDescribe your methodology for diagnosing and resolving a failure in a complex integration between an enterprise system and an external application. Emphasize your use of logs, monitoring tools, and systematic testing to identify the root cause.

Leveraging Cloud Services for Digital Engineering

What to coverDiscuss the trade-offs between different cloud-based service architectures when hosting digital engineering platforms. Explain how you ensure high availability and performance for users accessing these systems across different project sites.

BIM Workflow Familiarity

What to coverHow does your understanding of BIM workflows influence the way you design digital solutions? Explain how you ensure that the data structures in your CDE platforms align with the requirements of the engineering project lifecycle.

Behavioural practice

Translating Business Requirements to Technical Solutions

What to coverDescribe a time you had to work with non-technical stakeholders to define their operational needs. Explain how you translated those requirements into a functional digital solution and ensured it met their expectations.

Managing Stakeholder Expectations

What to coverProvide an example of a project where you had to balance the competing needs of engineering users and technology vendors. How did you communicate trade-offs and reach a consensus that supported the project's goals?

Proactive Problem Solving in Digital Transformation

What to coverShare a situation where you identified a bottleneck in an existing engineering process and took the initiative to implement an innovative digital solution. What was the impact of your intervention on productivity?

Working Across Multidisciplinary Domains

What to coverGive an example of how you have successfully collaborated with professionals from different backgrounds, such as civil engineers and software developers. How did you bridge the communication gap to deliver a unified technical outcome?

Sharpen your knowledge

Topics to prepare

Common Data Environment (CDE) Governance
Review principles of information management and metadata standards within engineering project delivery. Exercise: Draft a hypothetical governance framework for a CDE that ensures data integrity across multidisciplinary teams, as this is critical for the role's responsibility to establish platform controls.
BIM Workflow Integration
Understand how Building Information Modeling (BIM) data flows through engineering lifecycles. Exercise: Map out how data from a BIM model could be programmatically extracted and integrated into an enterprise dashboard, reflecting the job's focus on digital engineering ecosystems.
Systems Thinking for Infrastructure
Study the interaction between enterprise systems, engineering platforms, and external applications. Exercise: Analyze a complex engineering workflow and identify potential bottlenecks where automation or system integration could improve productivity, aligning with the role's requirement for technical problem-solving.

Skills to revise

REST API Integration
Practice connecting disparate enterprise systems using RESTful services. Exercise: Build a small script in Python to fetch data from one platform's API and push it to another, simulating the requirement to maintain integrations between engineering and enterprise systems.
Workflow Automation with Power Platform
Develop proficiency in automating repetitive engineering business processes. Exercise: Create a Power Automate flow that triggers an action based on a data update in a SharePoint list or similar environment, directly supporting the need for workflow automation.
Data Engineering and Analytics
Focus on preparing and visualizing engineering data. Exercise: Use SQL to query a structured dataset and visualize the results in Power BI, focusing on metrics relevant to infrastructure project delivery, such as task completion rates or document approval cycles.

Your preparation checklist

Map CDE and BIM workflows to technical solutions
Prepare a summary of your experience with platforms like Autodesk Construction Cloud or Bentley ProjectWise. Be ready to explain how you have integrated these systems with other enterprise applications to improve engineering productivity.
Develop a case study on workflow automation
Create a brief walkthrough of a project where you used Python, SQL, or Power Platform to automate a manual engineering or business process. Focus on the technical implementation, the tools used, and the measurable impact on efficiency.
Prepare an AI and data-driven solution proposal
Draft a conceptual approach for implementing a Generative AI or analytics solution within an infrastructure project context. Highlight how you would handle data governance, metadata standards, and integration with existing systems.
Formulate questions on LTA's digital ecosystem
Prepare thoughtful questions regarding the current state of LTA's digital engineering ecosystem, such as the primary challenges in platform governance or the specific priorities for AI adoption in upcoming infrastructure projects.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in Singapore. Matched to this role, not your profile.

Explore more jobs

Finding similar opportunities…