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Engineering Analytics - Lead Engineer, Smart DC
Keppel Data Centres
Full stack and analytics engineer with 6-8 years of experience in end-to-end ownership of production-grade systems, specializing in UI, APIs, and IoT data pipelines for a predictive intelligence platform.
15d ago
S$160,000
Experienced (8-12 years), Expert & Leadership (13+ years), Intermediate (4-7 years)
Full Time
Singapore, Singapore
Office Full-Time
Company Size
230 Employees
Service Specialisms
Customer Support
Comprehensive Maintenance
Extensive Connectivity
Data Centre Cleaning
Remote Hands Services
Security
Sector Specialisms
No specialisms available
Role
What you would be doing
unit testing
postgres clusters
code review
sdlc ownership
data pipeline
api development
- Write and maintain unit, integration, system, and end-to-end tests
- Distributed Postgres/Citus database clusters for storage
- Participate in and respect the code review process
- Full Software Development Lifecycle (SDLC) Ownership: Take responsibility for the end-to-end lifecycle of components — from requirements, design, coding, testing, deployment, and support.
- Data Pipeline Ownership: Own the complete data acquisition pipeline including:
- API Development: Design, develop, and maintain scalable RESTful/GraphQL APIs.
- UI Development: Build and enhance user interfaces using ReactJS (or FJS) with a focus on modern, intuitive, and responsive design
- Follow DevOps and software engineering best practices
What you bring
data bricks
node.js
reactjs
postgres/citus
iot
problem-solving
- Data engineering (Data Bricks, data pipelines, distributed databases such as Postgres/Citus)
- Data Bricks cluster (data processing & transformations)
- Backend development (Node.js, Python, or equivalent)
- Excellent problem-solving, debugging, communication skills and ownership mindset — where selected candidate takes responsibility for UI, APIs, and data pipelines from start to finish
- Proven 6 - 8 years of experience as a full stack and analytical engineer with ownership of production-grade systems
- IoT integration and Azure IoT Hub/Event Hub
- Strong hands-on skills in:
- ReactJS (or similar modern JS frameworks)
- Strong understanding of distributed systems, scalability, and data modeling
- 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
- IoT modules
- Strong knowledge of DevOps practices: CI/CD, monitoring, automated testing
- 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
- Azure IoT Hub & Event Hub
Information not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- criminal history check
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Company
Overview
12 Countries
Geographic Reach
Operates in 12 countries across APAC and Europe.
34 Centres
Data Centre Management
Oversees operations at 34 facilities.
4M sq ft
Available Capacity
Provides over 4 million square feet of lettable area for high-security workloads.
USD 172.7M
Annual Revenue
Generated by providing reliable and scalable data centre solutions.
- built to suit and colocation facilities.
- offering hyperscale and cloud enterprise clients reliable power, cooling, physical security and seamless connectivity.
- combining engineering precision with tailored design for blue‑chip, financial and government workloads.
- Innovates beyond land‑based sites with a floating data centre concept to tackle land, water and energy constraints.
- Led by a seasoned CTO and CEO duo, the company blends telecom-grade tech heritage with data centres expertise across APAC and Europe.
- Typical projects include large-scale colocation campuses in Singapore, Sydney, Frankfurt and Dublin, often for hyperscale cloud giants.
- Specialises in ICT infrastructure, cloud hosting, connectivity services and high‑availability digital ecosystem solutions.
- Innovation-driven
- Customer-centric
- Sustainability-focused
- Collaboration and Teamwork
- Excellence in Execution
- Integrity and Accountability
2050
Net Zero Target
Aim to achieve net zero emissions by the year 2050.
- Commitment to renewable energy sources
- Energy-efficient data centres with green certifications
- Promoting circular economy by reducing e-waste
- Green building certifications like LEED and BCA Green Mark
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