Data Engineer (Cloud Logging & Data Platform) - A26322

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Engineer (Cloud Logging & Data Platform)

This is a 1 - year contract role.

Internal Code: A26322

Digital Excellence & Products Division (DXD) is a GovTech team within the Ministry of Education (MOE). DXD sits at the intersection of technology, design, and education, building meaningful products, platforms, and digital services that improve teaching, learning, school operations, and the experience of students, teachers, and school leaders.

What will you do?

We are looking for a Logging & Data Platform Engineer to design, build, and operate the logging and operational data-platform capabilities supporting the future SSOE platform.

You will build the platform that collects, transports, stores, indexes, searches, and serves operational data across MOE's technology environment, spanning on-premise infrastructure, networks, applications, GCC, AWS, Azure, and hybrid environments.

As a Logging & Data Platform Engineer, you will build the shared platform capabilities that enable engineering and operations teams to reliably collect and use operational data at scale.

You will work across logging, telemetry ingestion, data movement, storage, search, retention, and platform integration.

The role requires an engineer who understands both traditional enterprise infrastructure and modern cloud-native architectures and can design solutions that work securely and reliably across environment boundaries.

You will work closely with the Observability Engineer on telemetry requirements and with Data Engineering & Analytics on shared data-platform capabilities and integration patterns

Logging Platform Engineering

• Design, build, and operate logging capabilities across on-premise infrastructure, networks, applications, cloud platforms, and hybrid environments
• Collect logs from servers, network devices, applications, containers, databases, security appliances, cloud services, and other infrastructure sources
• Build scalable log ingestion, routing, enrichment, storage, indexing, search, and retrieval capabilities
• Define structured logging standards, schemas, metadata, tagging, and correlation conventions across services
• Design appropriate retention, archival, lifecycle, and deletion policies for different classes of operational data
• Support correlation between logs, metrics, events, and traces using common identifiers and telemetry standards
• Work with the Observability Engineer to implement platform capabilities supporting end-to-end service observability

Data Collection & Integration

• Design secure and resilient data movement between on-premise environments, GCC, and approved external services
• Implement collection and forwarding patterns appropriate to different infrastructure, application, network, and security environments
• Design for intermittent connectivity, network constraints, buffering, retry, back-pressure, and recovery between environments
• Build event-driven and streaming patterns for moving operational data between producers and consumers
• Integrate legacy and enterprise systems with modern cloud-native platform capabilities
• Define clear interfaces and integration patterns between logging, observability, data engineering, and application platforms

Data Platform Engineering

• Build shared platform capabilities for ingesting, storing, processing, querying, and serving operational data
• Design scalable storage and query architectures appropriate to data volume, access patterns, retention requirements, and cost
• Build ingestion, filtering, enrichment, and transformation pipelines for operational data
• Provide APIs, query interfaces, or other serving mechanisms for authorised downstream consumers
• Support operational datasets consumed by the User Portal, dashboards, reporting, automation, and Data Engineering & Analytics
• Define schemas and data contracts for shared platform interfaces
• Ensure platform changes remain backwards compatible or are coordinated with downstream consumers

Cloud & Platform Engineering

• Design solutions using cloud-native logging, streaming, storage, search, and data capabilities
• Build infrastructure and platform configuration using Infrastructure as Code
• Automate build, test, deployment, configuration, and platform changes through CI/CD
• Design for scalability, resilience, high availability, recoverability, and operational simplicity
• Monitor platform capacity, performance, reliability, and cost

Security & Governance

• Enforce MOE and Government data-classification requirements
• Design secure routing and storage of operational data across security zones and environment boundaries
• Apply appropriate encryption, access controls, authentication, and authorisation
• Ensure logging pipelines do not unnecessarily expose credentials, secrets, or sensitive information
• Implement audit-trail preservation and appropriate retention controls
• Ensure data-residency requirements are considered when routing operational data between on-premise, GCC, cloud, and SaaS environments
• Participate in security, architecture, and operational-readiness reviews

Reliability & Operations

• Define SLOs and operational health indicators for logging and data-platform services
• Build monitoring, alerting, failure detection, retry, and recovery into platform components
• Monitor ingestion health, processing latency, data loss, storage utilisation, search performance, and platform availability
• Participate in incident investigation, root-cause analysis, and post-incident reviews
• Participate in operational support and on-call responsibilities for owned services
• Maintain architecture documentation, operational procedures, and runbooks

Requirements

What are we looking for?

• Minimum 3-5 years of experience in cloud engineering, platform engineering, DevOps, SRE, logging engineering, data platform engineering, or a related discipline
• At least 2 years of hands-on experience building or operating production logging, telemetry, or data-platform capabilities
• Demonstrated experience working with AWS and/or Azure cloud-native services
• Experience integrating on-premise and cloud environments, or operating systems in a hybrid environment
• Experience with production data ingestion, streaming, routing, storage, indexing, or search platforms
• Experience implementing Infrastructure as Code and CI/CD for production environments
• Experience designing systems for scalability, resilience, security, and operational support
• Treats infrastructure, platform configuration, logging pipelines, and schemas as version-controlled engineering artefacts
• Uses Infrastructure as Code and CI/CD for repeatable and auditable platform changes
• Designs systems for failure, retry, buffering, scalability, observability, and recovery
• Understands the operational and cost implications of high-volume logging and telemetry
• Designs reusable platform capabilities rather than one-off solutions for individual applications
• Defines clear schemas, interfaces, and ownership boundaries between producers and consumers
• Applies backwards-compatible changes and coordinates changes that may affect downstream systems
• Automates repeatable operational processes rather than relying on manual procedures
• Balances technical excellence with pragmatic delivery and operational sustainability
• Experience with Singapore Government platforms such as TechPass, SHIP-HATS, SEED, and GCC
• AWS or Azure cloud certifications
• Experience operating large-scale or high-volume logging platforms
• Experience with OpenTelemetry and modern telemetry collection patterns
• Experience designing platforms spanning data centres and public cloud environments
• Experience with event-driven and streaming architectures
• Experience migrating or integrating traditional enterprise logging platforms with cloud-native servicesAWS/Azure-native logging, streaming, storage, search and data services
• Enterprise servers, networks, applications, databases, virtualised infrastructure, and log sources
• Structured logging, log collection, routing, enrichment, correlation, indexing, search, and retention
• Terraform / OpenTofu, Ansible or equivalent
• GitLab CI/CD, SHIP-HATS or equivalent automated deployment practices
• Python, PowerShell, Bash or equivalent scripting and automation
• Docker and containerised/cloud-native workloads

Benefits

What do we offer in return?

Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

Benefits: Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance; life and health insurance, thoughtful perks like special occasions “red packet” and CNY goodies, etc.

Employee Wellness: Support for your physical, mental, and overall well-being through year-round initiatives.

Growth & Development: Learning programmes, certification support, and a dedicated staff development budget. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Career Progression: Structured career pathways that enable you to grow along a technical/domain expert track or a leadership track.

Competency Framework: A structured and practical framework to support you to develop, perform, and succeed.

Flexible Work Arrangement: Staff may choose to work flexi-place, flexi-time, and flexi-load based on existing framework

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.