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Engineering Analytics - Lead Engineer, Smart DC Job Opening In Singapore, Singapore – Now Hiring Keppel Ltd.


Job description

**Site**.Engineering Analytics - Lead Engineer, Smart DC page is loaded## Engineering Analytics - Lead Engineer, Smart DClocations:
Singaporetime type:
Full timeposted on:
Posted 2 Days Agojob requisition id:
## **JOB DESCRIPTION**We are looking for highly skilled and hands-on analytics engineer who can take end-to-end ownership of the UI, APIs, and IoT data pipelines for our predictive intelligence platform.

This role requires deep technical expertise across frontend, backend, and data engineering, with strong accountability for delivering high-quality, production-ready solutions.**Responsibilities**• UI Development: Build and enhance user interfaces using ReactJS (or FJS) with a focus on modern, intuitive, and responsive design• Data Pipeline Ownership: Own the complete data acquisition pipeline including:
- IoT modules
- Azure IoT Hub & Event Hub
- Data Bricks cluster (data processing & transformations)
- Distributed Postgres/Citus database clusters for storage• API Development: Design, develop, and maintain scalable RESTful/GraphQL APIs.• Full Software Development Lifecycle (SDLC) Ownership: Take responsibility for the end-to-end lifecycle of components — from requirements, design, coding, testing, deployment, and support.• Quality & Best Practices:
- Follow DevOps and software engineering best practices
- Write and maintain unit, integration, system, and end-to-end tests
- Participate in and respect the code review process• Collaborative: Ability to work collaboratively with Subject Matter Experts (SMEs), architects as well as other developers in the gathering of requirements and explanation of technical solutions• Product Mindset: Focus on delivering core product value rather than standalone solutions.**Job Requirements**• Proven 6 - 8 years of experience as a full stack and analytical engineer with ownership of production-grade systems• Strong hands-on skills in:
- ReactJS (or similar modern JS frameworks)
- Backend development (Node.js, Python, or equivalent)
- IoT integration and Azure IoT Hub/Event Hub
- Data engineering (Data Bricks, data pipelines, distributed databases such as Postgres/Citus)• Strong understanding of distributed systems, scalability, and data modeling• Strong knowledge of DevOps practices: CI/CD, monitoring, automated testing• Excellent problem-solving, debugging, communication skills and ownership mindset — where selected candidate takes responsibility for UI, APIs, and data pipelines from start to finish• Experience with predictive intelligence, anomaly detection, or IoT data systems, familiarity with cloud-native design (Azure or multi-cloud) and/or contributions to open-source projects/ prior experience in start-up like environment, is preferred## **JOB REQUIREMENTS**Ability to understand Data Centre Mechanical & Electrical domain independently and contribute towards the product development, would be helpful to the role.## **BUSINESS SEGMENT**Connectivity## **PLATFORM**Operating DivisionKeppel is a global asset manager and operator headquartered in Singapore.

With operations in more than 20 countries worldwide, we provide innovative solutions that address some of the world's most pressing needs across the energy transition, rapid urbanisation, and increasing digitalisation.With sustainability at the core of our strategy, Keppel harnesses the strengths and expertise of our business units to develop, operate and maintain real assets, which provide diverse solutions that are good for the planet, for people and for the Company.Keppel actively seeks out bright and dynamic individuals to join our talent pool.

We offer our employees opportunities to grow and shape their careers, across the geographies in which we operate.Be part of our Keppel family today.


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Unlock Your Engineering Analytics Potential: Insight & Career Growth Guide


Real-time Engineering Analytics Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Engineering Analytics in Singapore, Singapore, highlighting market share and opportunities for professionals in Engineering Analytics roles.

3773 Jobs in Singapore
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3361 Jobs in Singapore
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Download Engineering Analytics Jobs Trends in Singapore and Singapore

Are You Looking for Engineering Analytics Lead Engineer, Smart DC Job?

Great news! is currently hiring and seeking a Engineering Analytics Lead Engineer, Smart DC to join their team. Feel free to download the job details.

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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 Keppel Ltd. 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

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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.

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Key qualifications for Engineering Analytics Lead Engineer, Smart DC 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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Interview Tips for Engineering Analytics Lead Engineer, Smart DC Job Success

Keppel Ltd. interview tips for Engineering Analytics   Lead Engineer, Smart DC

Here are some tips to help you prepare for and ace your Engineering Analytics Lead Engineer, Smart DC job interview:

Before the Interview:

Research: Learn about the Keppel Ltd.'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.

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Final Thought:

To prepare for your Engineering Analytics Lead Engineer, Smart DC interview at Keppel Ltd., 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 Keppel Ltd.'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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