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Lead Full Stack Data Engineer Job Opening In Singapore, Singapore – Now Hiring StarHub


Job description

We seek a seasoned Full Stack developer with strong interest and hands-on data engineering skills to design, develop, and deploy AI-powered, cloud-based products.

You will own frontend/backend development, database/schema design, data pipelines, and integrate user-facing features with data services, collaborating closely with data science and infrastructure teams to deliver production-grade solutions.

As a Lead Full Stack Data Engineer, you will:

  • Architect & Build Full Stack Applications
  • Design responsive UIs using , React, Vue, or Angular
  • Implement server-side logic, REST/GraphQL APIs, and microservices with , , or Express
  • Ensure seamless data flow, authentication (JWT/OAuth2), and caching (Redis)
  • Design & Maintain Data Pipelines & Databases
    • Define data models for relational (PostgreSQL, Redshift) or document stores (MongoDB)
  • Develop ETL/ELT pipelines (PySpark, Airflow) to load data into warehouses
  • Implement scalable storage (tables, indexes, partitions, materialized views) and tune queries
  • Integrate with Data Services & APIs
  • Consume analytics/ML endpoints and real-time streams (Kafka, Kinesis)
  • Implement efficient data-fetching on the frontend (pagination, caching, debouncing)
  • Design endpoints serving aggregated or pre-processed data; manage API versioning/documentation (Swagger)
  • Implement CI/CD & DevOps Collaboration
  • Define CI/CD pipelines (GitLab CI/CD) for both applications and data workflows
  • Containerize components with Docker; orchestrate with Kubernetes, Docker Compose, or ECS Fargate
  • Collaborate on cloud provisioning (Terraform, CloudFormation) and manage secrets (AWS Secrets Manager)
  • Develop Dashboards & Visualizations
  • Build dynamic charts with , ECharts, or Recharts to surface key metrics
  • Create real-time data displays using WebSockets or polling
  • Implement frontend data validation (date pickers, filters, drill-downs)
  • Mentorship & Collaboration
  • Mentor junior engineers; conduct code reviews and share best practices
  • Work with product, infra, delivery/sales specialist teams to refine requirements, automate tests, and enforce security standards

Qualifications

  • Bachelor's or Master's in CS, Software Engineering, Data Science, or equivalent experience
  • 6+ years as a Full Stack developer with demonstrable data engineering involvement
  • Proficient in JS/TypeScript frameworks: , React, Vue, or Angular
  • Strong Server-side Rendering ).

    experience with or Express; RESTful/GraphQL API design;
  • ETL/ELT pipeline development (PySpark, Airflow) and data modeling for PostgreSQL, Redshift, or MongoDB
  • Experience integrating real-time streams (Kafka, Kinesis) and consuming ML/analytics endpoints
  • Define scalable storage (tables, indexes, partitions, materialized views) and perform query tuning (sort keys, distribution keys, vacuum)
  • CI/CD pipeline creation (GitLab CI/CD) and containerization (Docker, Kubernetes)
  • Infrastructure as Code: Terraform or CloudFormation; secret management (AWS Secrets Manager)
  • Cloud experience (AWS) deploying full stack apps and data pipelines (S3, EMR, Redshift)
  • Unit/integration testing (Jest, Mocha, pytest) and E2E testing (Cypress, Playwright)
  • Strong problem-solving, attention to detail, and ability to mentor and collaborate cross-functionally

Nice to Have

  • Familiarity with serverless architectures (AWS Lambda) and PWA principles
  • Exposure to vector databases, data mesh or lakehouse architectures
  • Participation in GenAI POCs (RAG pipelines, Agentic AI demos)
  • Passion for UI/UX patterns, accessibility, and developer productivity
  • Client-facing experience in data-driven or AI/ML projects
  • Ability to travel 10–30%; This is a Malaysia-based role collaborating closely with Singapore team

To APPLY NOW, click on Skye

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Lead Full Stack Data Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at StarHub adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Lead Full Stack Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Full Stack Data Engineer?

Key qualifications for Lead Full Stack Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Lead Full Stack Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Lead Full Stack Data Engineer Job Success

StarHub interview tips for Lead Full Stack Data Engineer

Here are some tips to help you prepare for and ace your Lead Full Stack Data Engineer job interview:

Before the Interview:

Research: Learn about the StarHub's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Full Stack Data Engineer interview at StarHub, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the StarHub's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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