Do you enjoy making sense of data to improve real-time service delivery? Are you motivated by understanding how services work on the ground and helping teams deliver better outcomes for families? We are looking for someone who enjoys translating data to drive actionable improvements to strengthen performance and sustain quality delivery.  

Description of Division

You will be part of the Regional Team under the Service Management Division of KidSTART Singapore Limited (KSL). Your role will be to oversee the effective implementation of KidSTART in each region and/or across regions and the service management of KidSTART Agencies (KSAs) and funded healthcare partners. This also involves managing relationships with partners/stakeholders such as MSF Social Service Offices, Family Service Centres, Preschool Operators, Polyclinics, Hospitals etc, who are part of the KidSTART eco-system of delivery.

Key Responsibilities

1.       Service Management (KSL and Funded Partners)

a.       Assist and support the Regional Head to carry out regular contract management and programme monitoring of KSL teams, hospitals and KSAs to ensure compliance with Funding Agreement and drive achievement of programme deliverables.

b.       Assist the Regional Head to support the design, planning and implementation of operational initiatives.  This includes contributing to alignment with Service Standards Requirements and leveraging on dashboards and data analysis to monitor performance and inform decision making.

c.       Act as the primary liaison officer between KSL, hospitals and KSAs, leading efforts to review and strengthen collaboration. 

d.       Conduct data verification in accordance with funding agreement and service standards requirements.

e.       Monitor manpower recruitment and training of KSPs, hospitals and KSA staff to ensure capacity and capability in service delivery.

f.       Perform main liaison role between KSL, ComLink+ and KSAs to support the KidSTART-ComLink +integration.

g.       Supervise incident reporting, incident management, and investigation to ensure appropriate resolution.

h.       Provide support to KSAs in times of crisis to ensure continuity of service to KidSTART families.

1.      Operational Data Analysis

a.       Consolidate and analyse KPI and performance data across KSL and KSAs. This includes tracking trends, identifying performance gaps, and highlighting risks against service standards and programme requirements.

b.       Develop and coordinate action plans in response to KPI outcomes, audits or performance reviews through working closely with service delivery teams to track progress, follow up on deliverables, flag delays or emerging risks.

c.       Analyse service delivery data, including caseloads, workload distribution and service intensity to identify service gaps, operational bottlenecks and opportunities to improve processes, reporting and operational efficiency.

d.       Assess factors that affect service delivery and outcomes to better curate solutions to improve service delivery outcomes.

e.       Provide timely feedback to Service Management Teams, Ops Planning and Programme Development teams to support informed decision making.

f.       Work closely with other divisions to align data, insights and action plans.

Competencies

·      Strong administrative, facilitation &communication skills with a proven track record in programme management and building community partnerships

·       Able to facilitate and negotiate effectively with partners 

·       At least 2years of supervisory experience or experience in a leadership role

·      At least 3-4 years' experience in service management, performance analysis and programme monitoring

·      Familiarity with systems thinking, community development approaches and/or the early childhood landscape will be an advantage

·      Strong planning and problem-solving skills; exercises initiative and displays innovation in coming up with solutions

·      Adaptable and flexible in managing varied stakeholders and partners

·      Strong presentation skills, with the ability to communicate clearly and confidently to various stakeholders.

·      Able to work well in a fast-paced and dynamic environment

·      Confident, effective and collaborative team-player with strong interpersonal skills

·      Able to analyse KPIs and operational data, confident with data analytics and dashboards

·      Proficient in Excel, Power BI, and reporting tools, with experience using CRM systems and operational reports to support monitoring and decision‑making.

Location: Bangkok, Thailand (Open to relocate any talents to Bangkok)

Industry: Data Centers

Employment Type: Full-Time, Executive Level

About the Company

Our client is an international data‑center developer and operator experiencing rapid expansion across Asia Pacific. The organization is building a modern portfolio of multi‑megawatt data center facilities and is establishing Bangkok as a key regional operations hub.

The company supports a mix of enterprise, cloud, and hyperscale customers and is focused on delivering high‑availability, carrier‑neutral, high‑density environments. They are now seeking a senior operations leader to scale and standardize operations as new sites come online across the region.

Role Overview

The Vice President, Operations, APAC will oversee operational performance, engineering reliability, service delivery, and team leadership across a growing portfolio of data centers in the region. The role includes accountability for uptime, safety, vendor management, and operational readiness for new builds entering live service.

This position suits an experienced operator who has led mission‑critical environments, scaled multi‑site teams, and implemented consistent operating frameworks in fast‑growth organizations.

Responsibilities

• Lead day‑to‑day operations across multiple APAC data center sites, ensuring consistent standards and high availability.
• Own uptime, reliability, incident response, and continuous improvement of critical infrastructure and facility operations.
• Oversee operational readiness for new data center launches, including staffing, training, SOPs, and commissioning handover.
• Drive customer experience excellence and act as senior escalation point for operational matters.
• Manage vendors, maintenance partners, contracts, and regional OPEX budgets.
• Ensure strong governance across safety, security, compliance, and regulatory requirements.
• Build and develop multi‑country operations teams, driving capability, performance, and succession.
• Contribute to regional strategy, operational planning, and scalable processes across the APAC portfolio.

Requirements

• 15+ years of mission‑critical operations experience, with significant tenure in data center operations.
• Demonstrated leadership of multi‑site or regional operations teams.
• Deep technical knowledge of power, cooling, BMS/controls, and critical infrastructure environments.
• Strong background in incident response, risk management, SLA governance, and operational compliance.
• Experience managing commissioning and operational readiness for new data centers.
• Proven ability to work cross‑functionally in fast‑scaling, high‑growth organizations.
• Strong commercial acumen and budget ownership experience.
• Excellent communication skills; English fluency required. Thai language is advantageous.

Preferred Background

• Leadership experience in colocation, hyperscale cloud DC operations, telecom data centers, or mission‑critical engineering environments.
• Experience in Southeast Asia or broader APAC markets.

If you are interested, please apply with your latest English CV. Only shortlisted candidates will be contacted.

Contact: Keith Ng (Lic. No R2093574 / EA No. 16S8194)

The Opportunity

• Adecco is partnering our client, a famous Tech MNC
• We are looking for a Geospatial Data Specialist
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• Qualification in Computer Science, IT, or Geography-related space.
• 2-3 years of data processing experience in a fast-paced environment performing geospatial analysis and automation processes.
• Proficient in computer software ie. G-suite (GDocs, Gsheets, etc)
• Strong communication skills
• Passionate about maps with strong analytical and problem-solving skills
• Self-driven and highly motivated individual who can drive continuous project improvement
• Strong project management, cross-department communication, and stakeholder management skills.
• Detail-oriented, metrics-driven, and understands how maps influence the product & customer experience.
• Having Class 3/3A license will be a plus

Job Description

• Collecting data using proprietary software & internal tools
• Monitoring, analyzing & grading large sets of geo data regular validation
• Manage and coordinate the daily operations of our mapping team, ensuring the timely delivery of high-quality geo data to our clients.
• Perform regular quality checks, translation & transcription where applicable
• Lead with cross-functional and local teams to drive projects at a regional level.
• Support the team leader/manager in data analysis and reports
• To adhere to company's confidentiality procedures & policies when collecting, storing and sharing data
• Vendor coordination and project monitoring
• Assist other members of the team with the mapping process and ensure that all aspects are completed accurately and efficiently
• Conduct training locally & regionally as needed

Next Step

• Prepare your updated resume
• Send your resume to Xinyang.liu@Adecco.com
• All shortlisted candidates will be contacted

Liu XinYang

EA Licence Number: 91C2918

Personnel Registration Number: R1988872

Job Title: AI Data Associate (2 months)
Working Location: Alexandra Technopark
Working Day/Hour: Monday to Friday 8:30am-5:30pm

Job Summary:
We are looking for a detail-oriented Image Annotator to review and classify images according to defined guidelines. The role involves examining visual data and accurately labeling or categorizing images to support data quality and machine learning initiatives.

Key Responsibilities:

• Review large volumes of images.
• Classify and label images based on provided guidelines.
• Ensure high accuracy and consistency in annotations.
• Flag unclear or problematic images for further review.
• Follow quality standards and meet annotation targets

Requirements:

• Detail-oriented with strong accuracy in repetitive tasks
• Good visual perception (must not be color blind)
• Basic computer skills and ability to follow guidelines
• Experience in image annotation, data labeling, or AI/ML datasets is an advantage
• Familiarity with annotation tools is a plus

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

This role reports to the Deputy Director (Data Strategyand Capabilities Building) and drives organisation-wide Data Analytics and AIcapability planning, change management and adoption. The role focuses on ensuring that Data and AI initiatives are organisationally ready, adoptable and sustainable, working closely with the Data Strategy, Analytics and Infrastructure teams.

Responsibilities:
Key responsibilities include:

• Lead organisation‑wide Data Analytics and AI capability planning, change and adoption efforts to support enterprise priorities

• Translate enterprise Data and AI strategies into clear plans,roadmaps and coordinated workstreams.

• Oversee Data Analytics and AI capability development across theorganisation, ensuring initiatives are aligned, scalable and sustainable.

• Provide planning, coordination and light oversight acrossengagement and capability workstreams, including adoption and readiness workstreams.

• Guide and shape engagement approaches to support effective Dataand AI adoption, ensuring initiatives are aligned with enterprise strategy andintegrated with technical and planning efforts.

• Review engagement plans, adoption outcomes and capability insightsto assess the effectiveness of engagement approaches and recommend adjustments to improve adoption outcomes.

• Track progress, risks and dependencies across Data and AIinitiatives for consolidated management reporting. Work with the Data Analyticsvertical to support the transition of initiatives from exploration into operationalisation and scaling, where appropriate.

Requirements:

• At least 6–8 years of relevantexperience in programme management, transformation, data or digital roles.

• Strong ability to operate acrosstechnical and non‑technical contexts.

• Good understanding of enterprise Dataand AI considerations, including governance and infrastructure.

• Strong planning, synthesis andstakeholder coordination skills.

• Comfortable operating across strategy and execution in a complex organisational environment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting

This role reports to the Principal Manager (Data Capability, Change and Adoption) and supports organisation‑wide adoption of Data and AI initiatives through a combination of strategic engagement, change management and community‑building.

The role works closely with business units, technical teams and enterprise stakeholders to ensure Data and AI initiatives are strategically aligned, well‑understood and sustainably adopted across the organisation.Officers in this role are expected to share responsibilities flexibly, covering both strategy‑facing and culture‑building workstreams as required.

Responsibilities:
Keyresponsibilities include:

• Build, manage and sustain Data and AI communities of practice across the organisation.

• Design and deliver Data and AI engagement activities such as showcases, sharing sessions, learning events and talks.

• Act as a front-facing engagement point for business units exploring AI opportunities.

• Facilitated discussions to surface Data and AI use-cases and support officers in problem-framing and awareness of AI possibilities and constraints.

• Translate Data and AI concepts and initiatives into accessible narratives for non-technical audiences.

• Gather adoption insights and feedback to inform planning and continuous improvement.

Requirements:

• At least 3–5 years of experience inengagement, change or programme delivery roles.

• Strong facilitation and communication skills.

• Experience running engagement or community-building initiatives.

• Applied understanding of Data and AI concepts.

• Strong interpersonal and collaboration skills.

'Only candidates with more experience will be considered for the Senior Manager position, with a commensurate remuneration'

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting

Director, Data Center Platform Delivery (Lifecycle | Process | Systems)

Role Focus: Process, Workflow & Playbooks

Location: Dubai (preferred, remote can be discussed)

Relocation: Open to global candidates

Seniority: Director - Senior Director

Role Overview

A global data center developer is seeking a senior leader to codify and standardize the end‑to‑end data center development and operations lifecycle. This role focuses on turning complex new‑build delivery into a repeatable playbook - defining processes, workflows, governance, and systems from early planning through design, construction, commissioning, and steady‑state operations to support scalable growth.

Key Responsibilities

1) Day Zero - Planning & Strategy

• Standardize processes for site selection, feasibility, and early‑stage decision‑making
• Integrate commercial, regulatory, sustainability, and risk inputs into structured workflows

2) Day One - Design & Construction Enablement

• Establish design and construction governance, stage gates, and delivery workflows
• Ensure builds are optimized for operability, modularity, and long‑term scalability

3) Day Two - Operating Model & Readiness

• Define operational processes, KPIs, and governance for reliability, maintenance, and capacity
• Enable data‑driven and analytics‑led operations

4) Lifecycle Playbooks & Workflow Integration

• Map and streamline workflows across planning, procurement, build, commissioning, and handover
• Create repeatable playbooks and operating models for multi‑site deployment

5) Systems & Digital Enablement

• Define and implement lifecycle systems (project controls, asset/facilities, capacity, commissioning)
• Drive integration between design, build, and operations platforms

6) Governance & Scale

• Embed risk management, compliance, and change control into workflows
• Drive continuous improvement as the platform expands

Candidate Profile

• Strong background in data centers, mission‑critical infrastructure, or large‑scale platforms
• Proven experience building processes, workflows, and operating playbooks
• Exposure across planning, design, build, commissioning, and operations
• Systems‑oriented, structured, and comfortable operating across technical and executive stakeholders
• Successfully expanded new build data center to new region/territory
• Current/Prior working experience in a data center developer / operator (core requirement)

Working Model

• Preferred: Based in Dubai
• Alternatives: Remote or Thailand‑based
• Relocation support available

If you are interested, kindly apply with your updated English CV, detailing your relevant Data Center experience. Only shortlisted candidates will be contacted.

Contact: Keith Ng (Lic. No R2093574 / EA No. 16S8194)

About the Role
Join the Data Team and contribute to transforming data into meaningful insights that support better business decisions. This role combines business analysis with hands-on data work — including statistical analysis, performance tracking, dashboard development, and ETL support — helping teams across the organisation make data-driven decisions.

Key Responsibilities
• Understand and translate business needs into clear data requirements and deliverables
• Conduct statistical and performance analysis, ensuring accuracy through validation checks
• Build and maintain dashboards and reports using Power BI or Qlik
• Support ETL processes and manage data within Snowflake
• Provide ad-hoc data extraction and reporting support for various business units

Requirements
• 2–4 years of experience in Business Analysis, Data Operations, or Data Analytics (experience in financial services or fintech is an advantage)
• Proficient in SQL (Snowflake), Excel, Power BI or Qlik
• Good understanding of statistical techniques used in data analysis
• Strong stakeholder management, communication, and documentation skills (e.g. Jira, Confluence)
• Familiarity with AWS services is a plus
• Detail-oriented, proactive, and able to work effectively in a fast-paced environment

Salary: $4,800-$6,000 + half month bonus

Interested applicants please email your resume to ivytham@recruitexpress.com.sg

Ivy Tham Yi Ru (R1104692)

Recruit Express Pte Ltd (EA Number: 99C4599)

Duration: 3 months

Salary: $10-$15 per hr

Location: Raffles Place

Working Hours: 8.30am - 6pm

Job Scope:

• Clean, update, and de-duplicate contact and company records
• Perform accurate data entry and bulk uploads into HubSpot
• Validate data completeness, accuracy, and consistency across records
• Flag data gaps, inconsistencies, or system issues to the team
• Support basic reporting and data extraction when required
• Assist in processing membership applications and updates
• Coordinate with internal teams on incomplete or unclear submissions
• Maintain proper data documentation and audit trails
• Provide administrative support to the team as required

Requirements:

• Some experience working with CRM systems (HubSpot preferred)
• Prior administrative, data-entry, or data support experience preferred
• Min A/Nitec/Diploma in any field

If interested, please send updated resume via email  biohealth@recruitexpress.com.sg 

Melissa Zhang Zhiqi (Mezzo)

(CEI.No: R2197564 | Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

biohealth@recruitexpress.com.sg

About Us

Founded in 2014, Lumens Group is leading the transformation of the mobility industry in Singapore. We have successfully built one of Singapore's largest car fleets and expanded our offerings to personal and corporate leasing, purchasing and financing. As we enter a new phase, we're building an integrated ecosystem for merchants and consumers, driven by advanced technology and a mission to enrich everyday life. Now, we're on the lookout for a data analyst intern to join us in Singapore.

Your Role on Our Journey

We are looking for a Data Analyst Intern to support our business teams in making data driven decisions. The intern will work closely with different stakeholders to understand processes and reporting needs and then translate them into automated solutions and dashboards. This role is ideal for someone who is detail-oriented, curious, and eager to learn about data analysis and business operations.

Your Day-to-Day Adventures

• Collaborate with different teams to understand workflows, requirements, and reporting needs.
• Automate report generation to improve efficiency and reduce manual work.
• Build, update, and schedule Power BI dashboards for business monitoring.
• Clean, transform, and prepare data from multiple sources for analysis and automation.
• Assist in setting up data pipelines to ensure data accuracy, timeliness, and usability.
• Conduct ad-hoc analyses to provide insights that support business decisions.

What Makes You a Perfect Fit

• Proficient in Power BI (dashboard creation, scheduling, data modeling).
• Familiarity with data integration and data pipelining (extracting, cleaning, and preparing data from multiple sources).
• Basic scripting/programming knowledge (e.g., Python for report automation, data cleaning, or ETL tasks).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to translate business needs into technical requirements.

Good to Have (Bonus) Skills

• Knowledge of SQL for querying and joining datasets.
• Experience with Excel/Google Sheets for quick analyses.
• Exposure to ETL tools or cloud data platforms.
• Basic understanding of data governance, quality checks, and version control.

Ready to Drive the Extra Mile?

Send your resume that showcases your unique spark to us today. If your journey aligns with ours, we'll get in touch soon!

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

About the team

The risk platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, Payment, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.

What you’ll do

As a Senior Machine Learning engineer, you will tackle challenging machine learning problems in the international payment risk domain and help build industry-leading model systems. You will be responsible for implementing end-to-end ML solutions to address real business challenges and will be accountable for delivering business impact.

This role is based in "Singapore".

Responsibilities:

1. Analyze business requirements and translate them into machine learning problems

2. Work on data engineering, feature engineering, model training, and deployment

3. Identify issues and propose effective solutions through regular analysis

4. Develop machine learning platforms and tools to streamline ML workflows at Airwallex

5. Collaborate with cross-functional teams to apply models that solve business problems

Who You Are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

1. At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc.

2. Bachelor’s or above degree in Computer Science, Engineering, or a related technical field.

3. Proficient in coding language such as Python and SQL.

4. Experience in payment risk or international e-commerce risk is a plus.

5. Experience in applying LLMs to real-time risk management is a plus.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

As a Senior Data Scientist (Analytics), you will play a pivotal role within our data team, collaborating closely with business and engineering teams. Your primary goal will be to derive actionable insights from extensive datasets, influencing strategic decisions, improving user experience, and driving product revenue growth. This is an individual contributor role but you will lead key projects, manage senior stakeholders and ensure data-driven approaches are integrated into business processes.

What you will be doing:

• Manage stakeholders to drive small to medium scale data analysis projects from conception to execution, ensuring alignment with business objectives

• Understand how our investment products work and is able to present to senior management business related analysis to improve the adoption, volume and revenue of our products

• Work with business stakeholders and engineering teams to build data pipelines using dbt, analysis frameworks and dashboards to track and improve key business metrics

• Explore our large data sets to improve our understanding of how our customers engage in Pluang in order to improve our crypto business

• Take charge and present in business insight meetings to inform senior management of business performance and insights to improve the business

• Simulate impact of business decisions on promotions, pricing strategy and new products together with the marketing and revenue teams to inform go or no go decisions

• Drive actions to improve our business performance based on analysis insights

• Design and evaluate business experiments

• Monitor data processes to ensure that teams can rely quality, timely and reliable data to make decisions

• Effectively communicate your work with senior management, team leads and cross-functional stakeholders on a regular basis

• Guide other junior team members in technical skills and analytics

What you need to be successful for this role:

• BS in a Computer Science, Math, Statistics, Economics, Engineering, Physics or a related field with 3-6 years of experience.

• Strong SQL skills. You will need to write custom queries to pull data to support your assumption and hypothesis.

• Experience with data visualization tools (Preference for Tableau).

• Experience with scripting and data analysis using Python.

• Familiarity with BigQuery and GCP would be an advantage.

• Interest or prior experience in marketing, growth, investment, financial sector or web3/cryptocurrency is a plus.

• Solid understanding of statistical analysis.

• Strong sense of ownership and accountability, with good attention to detail.

• Good interpersonal skills and ability to work well in an international team environment.

• Ability to be agile and flexible in adapting in a dynamic environment.

• Strong problem-solving skills with an emphasis on product effectiveness
  

  Take the next step - submit your application here: https://pluanghrms.darwinbox.com/ms/candidatev2/main/careers/jobDetails/a68aec4f06aa42?from=all

Work Environment Details:

Attractive compensation package - competitive salary, flexible bonus scheme.

We are always looking for ways to promote and inspire innovation. So, come build your dream with us.

Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of multi-national IT professionals.

Healthy work environment - company-sponsored medical program, food, and beverage program, open communication.

Friendly policies to support Work-life balance, team building, and celebrations.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pluang Company Overview

Empower millennial to achieve financial freedom through a diversified range of simple investment options

At pluang, it is our dream to provide access to all financial products and investment options in a simple and easy way. We believe that people from any background should be able to access the market of financial products.

Supported by robust technology, pluang empowers you to achieve future financial freedom. Our user-friendly application helps you to do financial investment with a very low budget but high return.

Job Title: Big Data Development Engineer (Experienced)

Department: Big Data Team

Stellarchip Technologies is a newly established startup dedicated to developing innovative semiconductor and data‑driven software solutions. As an emerging company, Stellarchip brings together expertise in chip‑level engineering and modern data analytics to help clients gain deeper insights, improve efficiency, and support digital transformation. The team is committed to exploring new technologies, experimenting with scalable architectures, and building high‑performance systems for real‑world applications.

As a brand-new startup committed to developing strong engineering talent, Stellarchip Technologies may provide opportunities such as:

• Short-term overseas technical training with partner companies or technology vendors
• On-site exposure to companies, especially those specializing in big data, cloud platforms, or semiconductor systems

Job Summary

We are looking for engineers with 3–5 years of experience who have solid foundations in computer science and practical exposure to backend development and big data technologies. In this role, you will help enhance and maintain our big data platforms, contribute to the design and improvement of data processing workflows, and support system deployment across distributed environments. This position is ideal for individuals who enjoy solving technical challenges, collaborating with a growing team, and continuing to deepen their expertise in modern data engineering.

Job Responsibilities

1. Backend Development (Top Priority)

• Responsible for backend development of big data products
• Participate in the operation and maintenance support in big data projects.

2. Big Data Projects (Important)

• Participate in the analysis and implementation of algorithms and models base on big data.

3. System Operations &Maintenance (General)

• Engage in Java/Python development work related to data governance and data processing in big data projects.
• Participate in system deployment and upgrades of software products.

4. Research & Documentation(Additional)

• Responsible for technology research, product design, and documentation.

Qualifications

Education

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related STEM fields

Technical Skills

• Strong passion for computer science and internet technologies, with solid proficiency in Java and/or Python.
• Willingness to explore and adopt new technologies, with familiarity in tools such as Ansible‑Playbook, Grafana, Prometheus, Docker, and Kubernetes.
• Experience with open‑source big data ecosystems is preferred, including but not limited to Hadoop, Spark, Hive, Flink, Kafka, Kylin, ClickHouse, Linux, and MySQL.
• Detail‑oriented and data‑sensitive, with strong quantitative analysis skills and the ability to identify issues and patterns through data.
• Strong analytical and problem‑solving abilities, coupled with a high sense of responsibility, excellent learning agility, effective communication skills, and a collaborative, innovative mindset.
• Good understanding of data structures, algorithms, and computer system fundamentals.

Soft Skills

• Strong analytical and problem‑solving capabilities
• Passion for learning new technologies
• Good teamwork and communication skills
• Responsible and proactive attitude

Interested applicants may submit their resume to: info@stellarchiptech.com

Position description:

As a Data Analytics Manager, you will play a pivotal role within our data team, collaborating closely with product, design, and engineering teams. Your primary goal will be to derive actionable insights from extensive datasets, influencing strategic decisions, improving user experience, and driving product growth. You will lead projects, lead junior data scientists, and ensure data-driven approaches are integrated into business processes.

What you will be doing:

• Manage product, design, engineering stakeholders to drive large-scale, complex data analysis projects from conception to execution, ensuring alignment with business objectives

• Understand how our investment products work and is able to present to senior management business related analysis to improve the adoption and volume of our products

• Work with product managers and the design team to identify the key metrics their product should track and build data pipelines, frameworks and dashboards to track and improve these metrics

• Work with our product managers and design team to create data driven product UI/UX designs to drive adoption of new product features

• Explore our large data sets to improve our understanding of how our customers engage in Pluang

• Help to build product analysis frameworks and enable our product team to be able to make effective decisions on our product

• Use the built frameworks to analyze our user behavior across different user segments, to enable nudges on their behavior to improve engagement and conversion

• Assist our product managers to plan out and build A/B testing experiments

• Monitor data processes, providing the support that teams rely on to make decisions.

• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

• Lead junior data scientists in solving our product related problems and guide their career development

• Manage the data work streams under one or more umbrellas (e.g. product analytics, AI, marketing, finance etc)

What you need to be successful for this role:

• BS in a Computer Science, Math, Statistics, Economics, Engineering, Physics or a related field with 5+ years of experience.

• Strong SQL skills. You will need to write custom queries to pull data to support your assumption and hypothesis.

• Experience with data visualization tools (Preference for Tableau).

• Experience with scripting and data analysis using Python.

• Solid understanding of statistical analysis.

• Strong sense of ownership and accountability, with good attention to detail.

• Good interpersonal skills and ability to work well in an international team environment.

• Ability to be agile and flexible in adapting in a dynamic environment.

• Interest in the investment, financial sector or web3/cryptocurrency is a plus.

• Familiarity with BigQuery and GCP would be an advantage.

• Prior experience working with clickstream data, especially Firebase / Google analytics data would be preferred.

• Additionally, experience working with product analytics tools like Amplitude, Mixpanel or Clevertap is greatly appreciated.

• Strong problem-solving skills with an emphasis on product effectiveness

• Take the next step — submit your application here: https://pluanghrms.darwinbox.com/ms/candidatev2/main/careers/jobDetails/a68e74e1be167c?from=all

Work Environment Details:

Attractive compensation package - competitive salary, flexible bonus scheme.

We are always looking for ways to promote and inspire innovation. So, come build your dream with us.

Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of multi-national IT professionals.

Healthy work environment - company-sponsored medical program, food, and beverage program, open communication.

Friendly policies to support Work-life balance, team building, and celebrations.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pluang Company Overview

Empower millennial to achieve financial freedom through a diversified range of simple investment options

At pluang, it is our dream to provide access to all financial product and investment options in a simple and easy way. We believe that people from any background should be able to access the market of financial products.

Supported by robust technology, pluang empowers you to achieve future financial freedom. Our user-friendly application helps you to do financial investment with a very low budget but high return.

Pluang is affiliated with PG Berjangka which has a trading license from Bappebti.

• Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats.
• Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite.
• Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems.
• Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability.
• Act as a domain expert and trusted partner in cybersecurity; and able to work closely with stakeholders in technology and other business groups on cybersecurity engineering related matters.

Skillset (Must have):

• Possess a strong combination of technical and analytical skills in cybersecurity, including expertise in data loss prevention, data security posture management, enterprise digital rights management, and general data security technologies.

• Hands-on experience in implementing and operationalizing data security solutions and data protection, for both structured and unstructured data, specifically:
  Data discovery, classification, and labelling
  Data encryption, masking, tokenization
  Data Loss Prevention (DLP)
  Enterprise Digital Rights Management / Information Rights Management
  Privacy Enhancing Technologies and Confidential Computing
  Key and certificate management
  Hardware Security Modules (HSM)
  Access controls

• Secure file transfer and data store (including SaaS solutions)
• Familiarity with Cloud security and data security and protection in Cloud environments (e.g., AWS, Azure, Google Cloud).
• Possess scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.
• Ability to create and maintain automation scripts.
• Familiarity with Cloud security and data security and protection in cloud environments (e.g., AWS, Azure, Google Cloud).
• Strong written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to work collaboratively with cross-functional teams and build strong working relationships.
• Apply critical thinking skills to analyze complex security issues, evaluate potential solutions, and make well-informed decisions.