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.

• 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.

Job Description:

The Data Center Engineer will be responsible for overseeing the daily operations of our data center facilities, ensuring optimal performance, reliability, and security. The ideal candidate will have extensive experience managing data center infrastructure, troubleshooting hardware and network issues, and implementing best practices for environmental and power management.

Key Responsibilities:

• Monitor and maintain data center physical and virtual infrastructure to ensure 99.99% uptime.
• Manage power systems, including UPS, generators, and distribution units.
• Maintain environmental controls such as cooling, humidity, fire suppression, and security systems.
• Troubleshoot and resolve hardware, network, and environmental issues promptly.
• Perform routine inspections, preventive maintenance, and upgrades of data center equipment.
• Coordinate with vendors and internal teams for repairs, upgrades, and capacity planning.
• Develop and update documentation related to data center configurations, procedures, and incident reports.
• Ensure compliance with industry standards, security protocols, and regulatory requirements.
• Assist in disaster recovery planning and implementation.
• Support and mentor junior staff members as needed.
• This is a 24/7 shift role.

Requirement:

• Minimum 5 years of experience in data center operations, engineering, or related fields.
• Bachelor’s degree/Diploma in Computer Science, Information Technology, Electrical Engineering, or a related field.
• Strong knowledge of data center infrastructure, including power, cooling, and environmental systems.
• Hands-on experience with server hardware, networking equipment, and data center management tools.
• Certifications such as DCCA, CCNA, CompTIA Server+, or equivalent are preferred.
• Excellent troubleshooting, problem-solving, and communication skills.
• Ability to work under pressure and handle emergency situations effectively.
• Knowledge of industry standards and best practices for data center management.
• Location: Jurong West

• 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.

U3 Privacy Notice: 
Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Description & Requirements

We are seeking a skilled and motivated Programmer to join our precision manufacturing team. The successful candidate will play a key role in developing and maintaining software systems that enhance production efficiency, automation, and data management across our operations.

Key Responsibilities:

• Design, develop, and maintain software applications to support manufacturing and engineering processes
• Integrate software with production equipment, data acquisition systems, and ERP/MES platforms
• Develop user interfaces and automation scripts to improve workflow and traceability
• Troubleshoot and optimize existing software to ensure reliability and performance
• Collaborate with engineering, production, and IT teams to identify system requirements and improvement opportunities
• Maintain proper documentation and ensure software compliance with company standards and data security policies

Requirements:

• Diploma or Degree in Computer Science, Software Engineering, Mechatronics, or related discipline
• Proficient in programming languages such as C#, NodeRed, HTML, CSS, PHP, Labview, Python, or Java
• Experience with database management (SQL/MySQL) and API integration
• Knowledge of industrial systems, automation, or machine interfacing is an advantage
• Strong analytical and problem-solving skills
• Able to work independently and in a team-oriented manufacturing environment

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Job Description:

• Contribute to the effective implementation and enforcement of the data governance framework, policies, and procedures.
• Support the operationalisation of guidelines and standards for data access, data security, metadata and other data related risk functions.
• Facilitate and coordinate the risk assessment of data sharing initiatives, conduct ongoing monitoring of control implementations.
• Assist with sharing of data governance good practices and with local and regional stakeholders.
• Participate in continuous refinement and optimisation of relevant data governance processes.
• Collaborate with product teams, data owners, data stewards, and relevant data analytics functions to resolve data management issues and implement effective solutions.

Requirements:

• Bachelor’s degree or above in information security, computer science, technology, data analytics or related disciplines.
• Preferably relevant working experience of 1 year.
• Candidates without direct experience but with foundational knowledge in the relevant domain may apply.
• Knowledge and understanding of data governance principles, challenges and best practices for data access, data security and metadata management.
• Good communication and stakeholder management skills.
• Ability to facilitate cross border collaborations and discussions with stakeholders across the region.

About the Role

We are looking for a skilled and proactive Database Engineer to design, implement, and maintain robust, scalable, and secure database systems. You will play a key role in managing both cloud and on-premise data platforms, ensuring high performance, reliability, and data integrity across the organisation.

Key Responsibilities

Database Implementation & Operations

• Design, deploy, and manage databases in alignment with architectural standards and technical specifications
• Configure and maintain data storage solutions across relational, non-relational, and hybrid environments
• Manage cloud-based database infrastructures with a focus on cost efficiency, scalability, and performance

Performance & Optimisation

• Identify and implement database tuning strategies, including indexing and query optimisation
• Monitor and troubleshoot performance issues across relational and NoSQL database systems

Data Lifecycle & Reliability

• Define and enforce data lifecycle policies, including retention, archival, and deletion strategies
• Develop and maintain robust backup and recovery processes to ensure data availability and integrity

Security & Compliance

• Ensure database security, including access controls and adherence to organisational and regulatory requirements
• Collaborate with cross-functional teams to support data governance, compliance, and audit initiatives

Automation & Efficiency

• Automate routine database administration tasks to improve operational efficiency
• Leverage scripting and automation tools to streamline deployment, monitoring, and maintenance processes

Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Systems, or a related discipline
• Minimum 5 years of experience in database administration across multiple database architectures
• Strong experience with relational databases such as Microsoft SQL Server and PostgreSQL
• Hands-on experience with NoSQL databases (e.g., Cassandra, MongoDB) is an advantage
• Familiarity with object storage solutions such as AWS S3 or Nutanix Object Store
• Knowledge of graph databases (e.g., Neo4j) is a plus
• Strong expertise in performance tuning, indexing, and query optimisation
• Experience in data lifecycle management, including retention and archival strategies
• Proficient in scripting and automation using Python, Bash, or PowerShell
• Strong analytical thinking, problem-solving abilities, and stakeholder collaboration skills

Work Location: One North

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Overview:

The Project Coordinator will be responsible for providing comprehensive support to our Regional Data Centre APAC team. This includes managing various project-related tasks, coordinating with different teams, and ensuring efficient project operations.

Responsibilities:

• Development Support: Assist with legal reviews, business approvals, and Project Funding Requests (PFR) and manage bug management processes.

• Financial Administration: Facilitate and liaise with Finance and Project Control teams for purchase order and invoice management.

• Status and Tracker Management: Maintain and update the Data Centre Delivery and Engineering tracker. Calendar Management: Manage schedules and ensure availability of all attendees for meetings. Remote Project Management: Be adept at overseeing and managing project teams geographically dispersed in APAC.

• Document Management: Update, refresh and upkeep of necessary documents and ensure smooth navigation using Document Control Software tools.

• Coordination and Travel Support: Support the coordination of in-person reviews for Campus planning and other projects, including travel arrangements and scheduling.

• Meeting Support: Take meeting minutes and record action items for weekly syncs with the Regional Program Manager (RPM).

• Substation Equipment Management: Oversee the management of long lead equipment (LLE) for substation programs.

• Vendor Onboarding: Assist with document control and onboarding procedures for vendors in the substation program.

• Onboarding Support: Assist in the onboarding of new hires into the Team, including adding them to recurring meetings, the Data Centre Rotations Program (DCRP) calendar, website updates, and distributing mission and vision documents.

• Presentation Development: Create and deliver presentations as required.

• Ensure Consistency and Efficiency: Maintain consistent meeting formats, agendas, standard documents, presentations, checklists, and formatting across the Services team.

• Facilitate onboarding of new team members through initial IDAP and Tech stages.

• Manage monthly communications and newsletter for the team.

• Collate and distribute bi-weekly status reports.

• Document and optimize team tools and processes, including BIM360, Project Management Tool (PMT), and One Drive.

• Control and maintain team brand and templates.

• Assist in planning and executing team summits and workshops.

• Maintain team program documents such as team directory, team calendar, and team alias groups.

Requirements:

• What we’re looking for is a candidate with at least 5 years’ experience in an assistant or facilities coordination role.

• Bachelor Degree from an accredited institution. Preference towards a Degree in Real Estate, Engineering, or Projects / Construction Management.

• Previous experience in project coordination or a similar role

• Strong organizational and time management skills

• Fluent in written and spoken English

• Excellent communication and interpersonal skills

• Proficient in MS Office / Google Suite and other Project Collaboration tools

• Attention to detail and ability to multitask

• Understanding of project management principles

• Ability to work independently and in a team environment. Has been part of a team responsible for large / complex projects or programs previously.

• Flexibility to handle multiple projects and changing priorities

• Experience in the technology or construction industry (preferred)

• Strong interpersonal skills with an ability to interact clients as well as external team members (architects, contractors, client’s representatives, etc.). 

You will be able to demonstrate the following on a consistent basis:

• Client-focused with excellent and clear communication skills

• Pro-actively collaborate with others, a good team player and is highly organized.

• Environmental, Sustainability and Health and Safety focused

• Continuous improvement mindset

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.  Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

Role: Data Centre Critical Infrastructure Engineer

Location: Singapore

We are partnering with a leading organisation to hire a Data Centre Critical Infrastructure Engineer to support the operations and maintenance of critical facilities systems across data centres and office environments. This role is responsible for ensuring the reliability, safety, and performance of key infrastructure systems while supporting operational readiness and business requirements.

Responsibilities:

• Perform day-to-day operations and maintenance of critical infrastructure systems, including generators, UPS, DC rectifier systems, STS, fire protection systems, HT/LT electrical systems, ACMV, and building management systems

• Ensure preventive and corrective maintenance works are carried out according to planned schedules and service standards

• Monitor and maintain data centre facilities to ensure high availability, reliability, and operational efficiency

• Manage physical and electronic security systems such as card access, CCTV surveillance, and visitor tracking

• Support customer-related work orders and ensure delivery within committed service timelines

• Plan, coordinate, and evaluate tenders, and support project execution for infrastructure upgrades and expansion works

• Maintain accurate records, maintenance logs, and update M&E, building, and schematic drawings

• Conduct regular inspections to identify safety hazards or unsafe conditions, and implement corrective actions in compliance with regulatory requirements

• Support lease management activities, including coordination with landlords, tenants, and internal stakeholders where required

• Liaise with internal teams, external vendors, contractors, and relevant authorities on facility-related matters

• Carry out risk assessments and support risk mitigation measures across facility operations

• Participate in 24/7 standby duties and respond to incidents, faults, and operational issues as required

• Support any other infrastructure and facility-related duties assigned by management

Requirements:

• Diploma or Degree in Electrical, Mechanical, Telecommunications, Facilities Management, or a related discipline

• 0–3 years of experience in facilities operations and maintenance, preferably within a data centre or critical infrastructure environment

• Diploma graduates with a positive attitude and willingness to learn may also be considered

• Good hands-on knowledge of critical facilities systems and building maintenance

• Exposure to data centre operations, electrical systems, ACMV, fire protection, or building management systems is preferred

• Basic knowledge of networking, broadband access, or structured cabling will be an advantage

• Proficiency in MS Office applications, with working knowledge of AutoCAD and MS Project preferred

• Experience in vendor, contractor, or service provider coordination would be beneficial

• Strong problem-solving skills with the ability to work under pressure in a mission-critical environment

• Good communication and interpersonal skills, with the ability to engage stakeholders across different levels
  

  UEN: 202329526G

  EA Licence: 23S2061

Job Summary

Support digitalisation initiatives by developing dashboards to improve visibility of operational risks and hazards. This role focuses on creating user-friendly data visualisation tools to enhance workplace safety and decision-making.

Job Responsibilities

• Design and develop dashboards to visualise risks and hazards across operational areas
• Gather and organise data to ensure accuracy and clarity in reporting
• Work with stakeholders to understand requirements and improve dashboard usability
• Maintain and update dashboards to reflect latest data and insights
• Support digitalisation and process improvement initiatives

Requirements

• Diploma in a relevant field (e.g. Engineering, IT, Data Analytics)
• Knowledge of dashboard tools such as Power BI, Power Apps, or similar platforms

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

About the Job

The role is part of Group Data Management & Governance, to operationalise data and AI initiatives and support data & AI governance across the Group.

Key Responsibilities :

• Design, develop and maintain data and AI governance, and data management artefacts (e.g. framework, policies, standards and guidelines) to ensure relevancy and up-to-date to meet the organization’s strategic objectives and business needs, as well as be aligned to regulatory requirements.

• Support the department’s communication strategy, programs and initiatives to raise the overall data literacy, data control and data management obligations across the Group to enable intelligent workforce.

• Refine and operationalize the various aspects of data & AI governance to effect proper ownership and accountabilities across the Group.

• Enforces Group Data & AI project management practices and processes.

• Perform oversight and support country and subsidiaries to ensure alignment of governance practices, data management obligations, and standards.

We are looking for people who

• Degree from recognized tertiary institution with at least 8 years of working experience where at least 3 years of hands-on experience in data and/or AI governance, project management, audit or compliance in insurance or financial services industry.

• Detail oriented and analytical, with good problem solving, project management and organizational skills.

• Good understanding of the principles of project management, e.g. project risk management, project control gates etc.

• Strong change management skills and/or experience in organization transformation programs.

• Experience in operationalizing processes an added advantage.

• Experience in IT Service Management an added advantage.

• PMP Certification an added advantage

• Exposure and understanding on data, architecture diagrams and up-to-date on data and technology landscape (e.g. Hadoop, cloud, data warehouse, AI and ML)

• Good team spirit, stakeholder management and interpersonal skills.

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group
We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.   

Enterprise and Data Technology
Enterprise & Data Technology builds and advances the technology that underpins our enterprise and data capabilities. It brings together our core technology and data experts to design and deliver platforms for integration, analytics, and innovation. By combining these strengths into one coordinated group, we create seamless solutions that connect systems, improve data accessibility, and leverage AI at the platform level to enable smarter decision-making. Through modern, scalable, and secure technology, the team empowers the organisation with tools that drive insight, collaboration, and operational excellence. 

What impact can you make in this role?
You will be empowered to be at the top of your game by providing technical contributions to achieve data-driven outcomes to power critical investment data & analytics in GIC’s vision of being a tech-driven, global, long-term investment firm. 

What will you do as a Data Engineer?

Be part of an ambitious team that provides investment data services for enterprise activities. You can make a difference in our forward-looking journey to shape our world of investments.

• Play a pivotal role in building and supporting enterprise investment data & analytics systems consumed by investment professionals and platforms across the firm. You will also develop and maintain relationships with business leaders, product management and technical teams to understand priorities and expected business outcomes.
• Develop business solutions using your strong analytical skills, and help the team bring technology value directly to the business. You will also be exposed to key investment processes across the firm, learning valuable business domain knowledge.
• Lead software delivery for fast-moving agile projects with modern DevSecOps practices (e.g. Github, Jfrog, Jira) and data technologies (eg. Databricks, Python, DBT, Airflow). You will also work with external experts and solution architects on with AWS cloud native technologies.
• Actively provide technical leadership, direction and mentorship to raise the quality bar for engineering talent – attracting, retaining, and improving the best developers in the industry.
• Become an excellent team player with a collaborative mind-set, you will work directly with investment and technology professionals at different levels. You will also work alongside experienced professionals across our extended Technology team in GIC as well as have exchanges with other industry partners. 

What makes you a successful candidate?

• Join us if you have a passion for data and want to be part of a team in building and developing GIC’s data foundation and infrastructure.
• 8+ years hands on experience working and leading development work in data engineering, including data analytics, data transformation, data modelling, reporting, data visualization, preferably in financial institutions or in asset management services
• Experience in the following skills:Extensive experience in Python, PySpark, SparkSQL, SQL, DBT, and PandasGood understanding and experience with cloud services, such as AWSGood experience with Docker, Kubernetes, GitHub workflows, and other DevOps capabilities such as CI/CD pipelines and TerraformGood experience in visualization or BI tools such as Tableau, or Microsoft Power BIStrong understanding in data architecture, management & governance concepts related to lake-house, data lineage and data quality
• Willingness to learn with attention to detail, demonstrating a strong passion in technology and/or financial data
• Strategic thinker and problem solver who approaches tasks with motivation and commitment
• Good system design thinking being able to structurally breakdown problems, simplifying complex problems into parts to drive overall business outcomes
• Good presentation skills, and communication skills across technical and non-technical audiences, effectively translating complex technical concepts into business terms
• Strong people leadership to engage with Data Engineers and guide hands-on development to demonstrate their mentorship and connectedness with the everyday needs of developers
• Strong business leadership to engage with our stakeholders in all functions and levels. Ability to collaborate and influence cross-department business and technical partners to contribute to the development of technical strategies
• Bachelor’s or equivalent degree in Science, Technology, Engineering and Mathematics (STEM) related discipline is advantageous.

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact. 

Flexibility at GIC 
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/

To be considered for the role, please submit a formal application through the GIC Careers site at:
https://careers.gic.com.sg/job-invite/16670/

Role Summary

The Senior/Principal Data Analyst - Reporting Specialist is responsible for leading the design, development and implementation of digital analytics, automation and communication solutions to support project and site operations. The role spans Power BI–based reporting, Power Platform applications, business process automation and digital content development, delivered in accordance with Client and public sector information management and governance standards.

The role requires independent delivery across the full solution lifecycle, strong stakeholder engagement, and the ability to translate operational, business and communication requirements into scalable digital solutions.

________________________________________

Key Responsibilities

Digital Reporting & Analytics

• Design and develop structured data models and Power BI dashboards to visualise project performance indicators (e.g. construction progress, schedule, production, quality and HSE metrics).

• Translate complex project and operational data into clear insights to support decision making by site management and senior stakeholders.

• Ensure all reporting outputs comply with Client digital governance, data management and information security requirements.

Power Platform & Business Process Automation

• Lead the design, development and rollout of Power Apps solutions to digitalise operational workflows, including site observation and inspection tools capturing progress, quality and HSE observations.

• Implement business process automation using Power Automate and related tools to reduce manual reporting, data handling and approval processes.

• Own end-to-end solution delivery including requirements definition, solution design, build, testing, deployment, data validation and continuous improvement.

• Establish data quality checks, validation rules and governance controls for automated processes and applications.

Data Collection, Reporting & Standardisation

• Champion structured data collection and data sharing initiatives between the Client, contractors and project teams.

• Design and implement standardised weekly and monthly data collection templates aligned with project controls and reporting requirements.

• Produce and assure weekly and monthly site performance reports using digital dashboards and structured reporting outputs.

Digital Communications & Content Enablement

• Support project and stakeholder communications through the development of digital communication materials, including short marketing or explainer videos demonstrating digital tools, dashboards or process improvements.

• Translate technical digital solutions into clear, accessible content for non technical audiences to support adoption, engagement and change enablement.

• Ensure digital communication outputs align with Client branding, messaging and information governance standards.

Stakeholder Engagement & Capability Building

• Act as a key interface between site teams, contractors and digital stakeholders to ensure solutions meet operational needs.

• Deliver training sessions, onboarding materials and user guidance for digital tools and automated processes.

• Collect and analyse user feedback to continuously improve usability, performance and adoption.

Leadership & Continuous Improvement

• Provide technical guidance and informal mentoring to junior team members contributing to digital delivery.

• Contribute to internal best practices, playbooks and governance frameworks for Power BI, Power Platform and process automation delivery.

• Support continuous improvement and innovation initiatives aligned to Client and organisational objectives.

________________________________________

Qualifications & Experience

Essential

• Bachelor’s degree in a relevant discipline; a Master’s degree is strongly preferred (e.g. Digital Transformation, Data Analytics, Business Analysis, Engineering, Information Systems, Strategic Marketing, or related fields).

• 5–10 years’ experience in digital delivery, business process automation, data analytics, project controls or related consulting roles.

• Demonstrated experience delivering Power BI dashboards, including data modelling and DAX.

• Practical experience with Power Apps and business workflow automation (e.g. Power Automate).

• Experience designing or supporting process digitalisation and automation initiatives in a project or operational environment.

• Strong analytical, structured problem solving and stakeholder engagement skills.

• Ability to communicate digital and technical concepts clearly to non technical users.

• Self- organised, proactive and capable of working independently.

• Fluent in spoken and written English.

Desirable

• Master’s degree (MSc or equivalent).

• Proficiency in Mandarin (spoken and/or written), with the ability to communicate effectively with Mandarin speaking stakeholders, vendors or project teams.

• Experience supporting projects with international or cross regional stakeholders.

• Experience in infrastructure, construction, energy or capital projects.

• Experience producing digital communication or marketing content (e.g. short videos, demos, enablement materials) to support solution adoption.

• Experience contributing to governance, standards or internal capability building initiatives.

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group
We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.   

Enterprise and Data Technology
Enterprise & Data Technology builds and advances the technology that underpins our enterprise and data capabilities. It brings together our core technology and data experts to design and deliver platforms for integration, analytics, and innovation. By combining these strengths into one coordinated group, we create seamless solutions that connect systems, improve data accessibility, and leverage AI at the platform level to enable smarter decision-making. Through modern, scalable, and secure technology, the team empowers the organisation with tools that drive insight, collaboration, and operational excellence. 

What impact can you make in this role?
You will be empowered to be at the top of your game by providing technical contributions to achieve data-driven outcomes to power critical investment data & analytics in GIC’s vision of being a tech-driven, global, long-term investment firm. 

What will you do as a Data Engineer?

Be part of an ambitious team that provides investment data services for enterprise activities. You can make a difference in our forward-looking journey to shape our world of investments.

• Play a pivotal role in building and supporting enterprise investment data & analytics systems consumed by investment professionals and platforms across the firm. You will also develop and maintain relationships with business leaders, product management and technical teams to understand priorities and expected business outcomes.
• Develop business solutions using your strong analytical skills, and help the team bring technology value directly to the business. You will also be exposed to key investment processes across the firm, learning valuable business domain knowledge.
• Lead software delivery for fast-moving agile projects with modern DevSecOps practices (e.g. Github, Jfrog, Jira) and data technologies (eg. Databricks, Python, DBT, Airflow). You will also work with external experts and solution architects on with AWS cloud native technologies.
• Actively provide technical leadership, direction and mentorship to raise the quality bar for engineering talent – attracting, retaining, and improving the best developers in the industry.
• Become an excellent team player with a collaborative mind-set, you will work directly with investment and technology professionals at different levels. You will also work alongside experienced professionals across our extended Technology team in GIC as well as have exchanges with other industry partners. 

What makes you a successful candidate?

• Join us if you have a passion for data and want to be part of a team in building and developing GIC’s data foundation and infrastructure.
• 8+ years hands on experience working and leading development work in data engineering, including data analytics, data transformation, data modelling, reporting, data visualization, preferably in financial institutions or in asset management services
• Experience in the following skills:Extensive experience in Python, PySpark, SparkSQL, SQL, DBT, and PandasGood understanding and experience with cloud services, such as AWSGood experience with Docker, Kubernetes, GitHub workflows, and other DevOps capabilities such as CI/CD pipelines and TerraformGood experience in visualization or BI tools such as Tableau, or Microsoft Power BIStrong understanding in data architecture, management & governance concepts related to lake-house, data lineage and data quality
• Willingness to learn with attention to detail, demonstrating a strong passion in technology and/or financial data
• Strategic thinker and problem solver who approaches tasks with motivation and commitment
• Good system design thinking being able to structurally breakdown problems, simplifying complex problems into parts to drive overall business outcomes
• Good presentation skills, and communication skills across technical and non-technical audiences, effectively translating complex technical concepts into business terms
• Strong people leadership to engage with Data Engineers and guide hands-on development to demonstrate their mentorship and connectedness with the everyday needs of developers
• Strong business leadership to engage with our stakeholders in all functions and levels. Ability to collaborate and influence cross-department business and technical partners to contribute to the development of technical strategies
• Bachelor’s or equivalent degree in Science, Technology, Engineering and Mathematics (STEM) related discipline is advantageous.

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact. 

Flexibility at GIC 
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/

To be considered for the role, please submit a formal application through the GIC Careers site at:
https://careers.gic.com.sg/job-invite/16670/

Job Title: Big Data Development Engineer (Bachelor Fresh Graduate)

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 welcome bachelor’s degree graduates who have strong foundations in computer science and are passionate about backend development and big data technologies. You will participate in building and maintaining bigdata platforms, contribute to data processing workflows, and support system deployment.

Job Responsibilities

1. Backend Development (Top Priority)

• Participate in backend development of big data products using Java/Python.
• Assist in implementing data processing pipelines and simple algorithm components.

2. Big Data Projects (Important)

• Contribute to data modeling, ETL tasks, and distributed computation projects.
• Collaborate with senior engineers to analyze data and optimize workflows.

3. System Operations & Maintenance (General)

• Assist with deploying and upgrading big data software systems.
• Help monitor system health and performance using tools like Grafana or Prometheus.

4. Research & Documentation (Additional)

• Participate in technical exploration of new tools and frameworks.
• Prepare documentation for features, deployment steps, and design notes.

Qualifications

Education

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

Technical Skills

• Solid foundation in Java or Python
• Familiarity with data structures, algorithms, and computer systems
• Basic understanding of big data ecosystems (e.g., Hadoop, Spark, Hive, Kafka) — coursework or projects acceptable
• Exposure to Linux, SQL, Docker, or other engineering tools (bonus but not required)

Soft Skills

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

Suitable for Candidates Who

• Are bachelor's fresh grads with strong CS fundamentals
• Have completed related academic projects or internships
• Want to grow into a big data backend engineer or data engineer role

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

Job Description

• Industry/ Organization Type: Cleaning/ Maintenance Services
• Position Title: Data Centre Cleaning & Maintenance Technician
• Working Location: Islandwide
• Working Hours: 6 days (Mon-Sat, 9am – 6pm)
• Salary Package: Basic + OT + Performance Bonus + Extra 2 days Leave/ month
• Duration: Permanent

Key Responsibilities

• Carry out cleaning tasks at assigned sites (e.g. vacuuming, mopping, disinfecting, etc.)
• Support installation works as instructed.
• Inform supervisors when supplies are low, equipment is damaged, or facility issues need repair.
• Assist with deliveries.
• Perform general housekeeping in the warehouse and storage areas.
• Follow safety and cleanliness requirements.
• Use cleaning and maintenance equipment safely and properly.
• Perform any other duties assigned by the Manager or Management.

APPLY NOW!!!

• Comfortable using cleaning tools and equipment.
• Willing to learn and adapt to different tasks and responsibilities.
• Basic English skills (able to read instructions and communicate).
• Willing to work overtime when needed, including after hours and weekends.
• Able to work well in a team and independently with minimal supervision.
• Good communication skills; responsible and reliable.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82315 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

About Innowave Tech Singapore
Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Roles & Responsibilities
We are seeking a Data Scientist with an interest in data analytics, insight generation, and optimization for manufacturing data. In this role, you will work independently alongside senior data scientists to analyze manufacturing datasets involving time-series sensor data, develop statistical analysis, and explore AI/ML.

Your Role and Impact
This role will focus on analyzing complex manufacturing datasets, developing predictive models, and implementing solutions for customers.

What You’ll Do

1. Data Analytics & Insight Generation.

2. AI/ML Modeling.

3. Collaboration & Deployment.
   

What We’re Looking For

* Educational Background:

Minimum Poly, Bachelor’s, or Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Applied Mathematics, Engineering, or a related field.

* Technical Expertise:

• Proficiency in Python.
• Solid understanding in statistical analysis and machine learning/deep learning frameworks (Scikit-learn, LightGBM, XGBoost, TensorFlow, PyTorch).
• Experience in data visualization (Plotly, Seaborn, etc.).
• Knowledge in software engineering best practices (modularity, version control, testing).

* Soft Skills:

• Ability to work in cross-functional teams and communicate insights effectively.
• Strong problem-solving mindset and attention to detail.
• Self-motivated learner who quickly adapts to new tools and technologies.

* Bonus Skills:

• Knowledge of IoT data and manufacturing processes.
• Experience in deploying models.
• Experience with LLM (prompt engineering, RAG).

The Data Engineer is responsible fordesigning, building, and maintaining data infrastructure that supportsanalytics, applications, and enterprise reporting needs. This includesconstructing scalable pipelines, managing data flows across systems, andenabling reliable storage, integration, and retrieval of information acrosscloud and on‑premise environments. The role involves close collaboration withcross‑functional teams to deliver data‑driven solutions that are robust, secure,and high-performing.

Key Responsibilities

1. Data Architecture & Development

• Design, create, and deploy data models, tables, views, and data marts across data warehouses, operational data stores, data lakes, and data virtualization environments.
• Build backend APIs and database structures to support applications and data products.

2. Data Extraction & Transformation

• Perform data extraction, cleansing, transformation, and blending across multiple sources.
• Conduct web scraping activities when needed, using appropriate automation tools.
• Ensure data reliability, accuracy, and consistency through well-structured data processing workflows.

3. Data Pipelines & Processing

• Develop and maintain large-scale batch and real-time data pipelines using modern data engineering frameworks.
• Implement ETL/ELT processes leveraging tools such as SSIS, AWS Glue, AWS DMS, Python, Lambda, ECS tasks, EventBridge, Spring, or similar technologies.
• Integrate data from distributed systems and eliminate data silos through scalable and secure data flows.

4. Collaboration & Product Delivery

• Partner with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver end-to-end data-driven solutions.
• Participate in Agile ceremonies and contribute to continuous integration and delivery practices.
• Engage in pair programming and participate in code reviews to ensure coding standards and quality.

5. Infrastructure, Cloud & Big Data

• Work with cloud platforms such as AWS, Azure, or Google Cloud to build and operate cloud-native data solutions.
• Design and manage data pipelines in big data environments using tools like Spark, Hadoop, Kafka, RabbitMQ, or similar technologies.
• Ensure systems are resilient, scalable, and suitable for production workloads.

6. Data Governance & Security

• Apply data governance principles, ensuring compliant access, secure storage, and proper data handling practices.
• Implement security best practices for data assets and support policy enforcement across systems.

Required Technical Skills

Data Processing & Programming

• Proficient in data cleaning and transformation using SQL, Python (pandas), R, or equivalent tools.
• Strong skills in ETL/ELT pipeline development and workflow orchestration.

Databases & Storage

• Hands-on experience designing and operating relational and non-relational databases such as SQL Server, PostgreSQL, MySQL, MongoDB, Cassandra, Athena, SQLite, VoltDB, or S3-based storage.
• Familiarity with data warehouse, data lake, data mart, and data virtualization concepts.

System Design & APIs

• Solid understanding of system design, data structures, algorithms, and backend development.
• Comfortable working with REST APIs, HTTP protocols, and integrating various data sources.

Big Data & Distributed Systems

• Knowledge of distributed systems and tools (Hadoop, Spark, Kafka, etc.).
• Ability to implement streaming, micro‑batch, or batch processing pipelines.

Web Scraping & Automation

• Experience with web scraping technologies like BeautifulSoup, Selenium, CasperJS, PhantomJS, Node.js, or similar tools.

Security & Data Governance

• Familiar with access control, encryption, audit logging, and other data security practices.

Tools & Environment

• Comfortable working in both Windows and Linux environments.
• Experience using CI/CD pipelines and participating in DevOps-oriented workflows.

Soft Skills & Attributes

• Detail‑oriented with a strong focus on problem solving and analytical thinking.
• Good communication skills, capable of discussing technical topics with both technical and non‑technical stakeholders.
• Collaborative mindset and ability to work as a bridge between engineering and analytics teams.
• Self‑motivated, adaptable, and comfortable managing work in a fast-paced Agile environment.

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Key Responsibilities

Special Projects Leadership

• Lead high-impact, cross-functional projects spanning air network scheduling, airline partner planning, and operational performance.
• Act as a strategic advisor to planning leadership, identifying opportunities for innovation, efficiency gains, and capability enhancement.
• Drive end-to-end project execution from concept through deployment and adoption.

Advanced Analytics & Optimization

• Develop and implement optimization models and analytical frameworks to improve network design, scheduling efficiency, and partner performance.
• Apply data-driven approaches to solve complex planning problems, including routing, capacity allocation, and operational trade-offs.
• Translate analytical outputs into actionable insights for planning teams and leadership.

Automation & Tool Development

• Design, build, and maintain automation tools, scripts, and lightweight products to streamline planning workflows and reduce manual effort.
• Develop scalable solutions that integrate with existing scheduling and planning systems.
• Continuously identify opportunities to eliminate inefficiencies through automation and process redesign.

Cross-Functional Enablement

• Work closely with scheduling engineers, network planning engineers, operations teams, and partner management to embed solutions into daily workflows.
• Adapt tools and approaches to suit a wide range of users, from highly technical to operational planners.
• Provide hands-on support to ensure successful implementation and adoption of new tools and processes.

Experimentation & Innovation

• Lead experimental initiatives focused on advanced automation, optimization techniques, and emerging technologies.
• Pilot new approaches, evaluate outcomes, and scale successful solutions across the organization.
• Stay current with industry trends and best practices in airline planning, logistics optimization, and data analytics.

Standards & Best Practices

• Establish best practices for data usage, model development, and automation within the planning team.
• Ensure solutions are robust, maintainable, and aligned with operational realities.
• Document tools, methodologies, and processes to support long-term sustainability.

Minimum Qualifications

• Bachelor’s degree in Engineering, Data Science, Operations Research, Aviation, or related field, or equivalent experience.
• Significant experience in data analysis, analytics engineering, or operational analytics roles.
• Experience in airline scheduling, air network planning, or aviation/logistics operations.
• Demonstrated experience building automation tools, analytical models, or internal products (e.g., scripting, dashboards, optimization tools).
• Strong problem-solving skills with the ability to work across both technical and operational domains.

Preferred Qualifications

• Experience in air cargo operations or express logistics networks.
• Exposure to optimization techniques (e.g., linear programming, simulation, network optimization).
• Experience integrating tools with planning or scheduling systems.
• Some familiarity with data engineering, APIs, or system integration concepts.
• Experience leading cross-functional or innovation-focused projects.

Key Competencies

• Advanced analytical and problem-solving capability
• Automation and tool development
• Aviation and network planning domain knowledge
• Cross-functional leadership and influence
• Practical, solution-oriented mindset
• Adaptability and ability to work with diverse stakeholders
• Strong attention to detail and execution discipline
• Innovation and continuous improvement mindset

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740