Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

This entry-level position offers an opportunity to gain practical experience while developing valuable skills in communication, customer engagement, and campaign execution.

You will work closely with a supportive team and mentors who will guide you through the fundamentals of marketing, sales strategy, and client representation.

What You’ll Be Doing

• Collaborate with the team to execute and support marketing campaigns
• Create meaningful customer engagement experiences
• Brainstorm campaign ideas and contribute to problem-solving
• Develop communication, confidence, and leadership skills

What’s in It for You

Campaign Operations & Execution

• Execute and deliver campaign fulfilment through processing of customer rewards,communications or distributors rewards, communications
• Execute campaign tasks including data preparation, marketing consent management, campaign system setup, User Acceptance Testing (UAT), fulfilment coordination, and handling ad-hoc exceptions.
• Support new campaign processes with automation to increase productivity, reduce risk or improve customer/ distributor experience
• Support Campaign Managers in distributor briefings and ground activations, and act as the primary contact for distributor queries on campaign logistics before and after launch.
• Collaborate with cross-functional teams and fulfilment platforms to ensure smooth campaign delivery and an exceptional customer experience.
• Track and monitor campaign performance and budgets against approved targets.

Quality Assurance & Compliance

• Ensure data accuracy, proper segmentation, and compliance with marketing consent requirements.
• Plan and complete user testing for respective platforms to ensure successful campaign deployment or fulfilment.
• Troubleshoot operational issues promptly,including data errors, system glitches, and fulfilment challenges
  
  Joy Yeow Zhi Qian
  (CEI Registration No: R2096261)
  Recruit Express Pte Ltd (EA Licence No: 99C4599)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

APAC Network Services Internal Networks team is responsible for end-to-end engineering and deployment of network infrastructure services within Bank of America. In this role, you will design, implement, and support enterprise grade network infrastructure across routing, switching, wireless, and remote access technologies. You will play a key part in ensuring secure, scalable, and high-performance connectivity across our global environment.

Responsibilities:

• Responsible for hands-on implementation, engineering, and deployment of new services into production.

• Work with support teams, lines of business and 3rd parties that BofA connect to build end-to-end solutions that balance business, security, availability, and resiliency requirements.

• Eliciting, analyzing, and documenting technical application and service requirements.

• Maintain designs patterns and provide feedback into architectural standards.

• Active participation in the change management process.

• Manage stakeholder requirements across projects and ad-hoc consulting.

• 3rd level escalation for troubleshooting issues on the production network.

• Identifying and managing the mitigation of risks within the environment.

• Ensuring documentation is updated to reflect new additions to or modifications in the environment and handed into Operations successfully.

• Collaborate with global engineering domain leads and operations teams from service design through operations transition process for new services.

Skills:

• 10 years with hands-on experience in Network Engineering & Deployment team preferably in the banking and finance industry.

• Strong knowledge of networking communication principles, network standards, and network security practices.

• Strong understanding of DMZ architecture principles, segmentation, and security zoning (Internal, External, Enclave etc)

• Strong knowledge of routing protocols (BGP, OSPF, EIGRP, ISIS) and WAN technologies (MPLS/VPLS)

• Experience in engineering and deployment of network solutions including Routing and Switching (Cisco/Arista) and secure connectivity: VPNs, tunneling (IPSec, SSL/TLS, GRE, MACsec)

• Ability to design and validate secure network flows across DMZ zones, NAT, and DMZ ingress/egress patterns

• Experience in vulnerability remediation and risk mitigation in DMZ environments

• Experience in network analytics through packet capture (Sniffer) analysis and end system diagnostics (Netscout).

• Expertise in creating Application and network diagrams including all pertinent flows and decisions.

• Capability to summarize complex issues into executive summaries.

• Ability to motivate and drive execution, with performance driven with the necessary intensity and optimism to succeed and deliver.

• Possesses strong analytical skills and root cause investigation techniques with a desire to expand horizon to next-gen products, applications, and technology.

• Familiar with product deployments within a global banking environment.

• Willing to work some irregular hours based on the needs of global operating model and the location of clients.

• Communicate with business partners at an enterprise level, interfacing with internal business representatives and information security partners.

• Strong analytical skills with ability to identify gaps, challenge others with positive intent, and drive debate towards identification and remediation of underlying risks.

• Knowledge of regulatory risk management in Technology and Information Security domains preferred.

• ITIL processes knowledge: Change Management, Incident Management, Request Management, and Problem Management

• Maintain designs patterns and provide feedback into architectural standards.

• Active participation in the change management process

Desired Skills:

• Subject matter experts in Network Services technologies and provide leadership and strategic/tactical direction related to the successful deployment network projects.

• Eliciting, analyzing and documenting technical application and service requirements.

• Understanding in Automation (Python, Ansible, YAML, REST API, XML and JSON).

• Manage stakeholder requirements across projects and ad-hoc consulting.

• Working experience of Agile techniques and use of Jira

• Working Knowledge of Market Data delivery networks using both TCP and UDP multicast with an ability to comprehensively troubleshoot through these networks

Overview

A global advisory firm is looking to appoint a senior commercial leader to drive its data center advisory and digital infrastructure practice across Asia-Pacific.

This role focuses on working closely with hyperscalers, colocation operators, developers, and infrastructure investors, providing strategic guidance on data center network expansion, resilience, and operational strategy.

You will play a key role in shaping how clients approach mission-critical infrastructure risk, connectivity, and long-term scalability across multiple markets.

Key Responsibilities

Data Center Advisory & Network Strategy

• Lead advisory engagements focused on data center network planning, redundancy, and performance optimisation
• Provide guidance across the full lifecycle of data center assets, from development through operations
• Support clients in aligning technical infrastructure with commercial and operational objectives
• Advise on uptime, resilience, and service continuity across multi-site platforms

Client Leadership & Industry Engagement

• Act as a trusted advisor to senior stakeholders across hyperscalers, colocation providers, and infrastructure funds
• Build and expand relationships within the data center ecosystem across APAC
• Represent the business at industry events, client meetings, and strategic discussions
• Identify and drive new opportunities within emerging digital infrastructure markets

Infrastructure Risk & Advisory

• Provide insights on risk exposure across design, construction, and operations of data center assets
• Advise clients on risk mitigation strategies linked to power, cooling, and network architecture
• Support complex projects requiring coordination across multiple stakeholders, geographies, and delivery partners
• Work closely with technical teams to bridge engineering considerations with business strategy

Commercial Strategy & Solution Development

• Lead high-value client engagements, including regional pursuits and complex solution structuring
• Develop tailored advisory strategies that integrate technical, commercial, and operational factors
• Collaborate across internal functions to deliver integrated, multi-disciplinary solutions
• Stay ahead of market trends across digital infrastructure, data center design, and network innovation

Requirements

Experience

• 8+ years within data centers, digital infrastructure, or mission-critical environments
• Strong background in client-facing advisory, consulting, or strategic business development roles
• Proven experience working with regional or multi-country projects
• Prior engagement with hyperscalers, operators, or infrastructure investors is highly advantageous

Technical & Industry Understanding

• Strong knowledge of data center operations, network design, and infrastructure systems (power & cooling)
• Understanding of service level expectations, uptime requirements, and operational reliability
• Familiarity with risk frameworks and resilience planning for mission-critical environments
• Exposure to infrastructure investment and stakeholder structures is a plus

Profile

• Commercially strong with experience leading complex client engagements or strategic initiatives
• Able to translate technical detail into clear, actionable advisory insights
• Strong stakeholder management skills across technical and executive audiences
• Entrepreneurial mindset with the ability to build and scale a regional practice

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

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

Required Skills & Experience

•10-12+ years of experience in data migration on enterprise HCM or ERP transformation programmes, with demonstrated ownership of the migration workstream — not just execution within it.

•Proven track record of leading client conversations to define migration scope and approach, including facilitating workshops and driving decisions with senior stakeholders.

•At least 3 full-lifecycle Oracle HCM Cloud (Fusion) implementations with accountability for data migration delivery end to end.

•Sufficient Oracle HCM data knowledge to scope objects confidently across Core HR, Payroll, Talent, Compensation, Benefits, and Absence — and to challenge and advise the client with authority.

•Demonstrated ability to manage and direct a delivery team, maintaining quality and pace in a pressured programme environment.

•Strong facilitation and communication skills — comfortable running workshops, chairing governance meetings, and presenting to senior client stakeholders.

•Experience managing migration risks, issues, and dependencies within a complex, multi-workstream programme.

Desirable

•Experience leading migrations from legacy platforms such as SAP HCM, PeopleSoft, Workday, or bespoke HR systems.

•Working/ hand on knowledge of Oracle HCM data loading tools (HDL, FBDI, Spreadsheet Loader) sufficient to guide and review the team's technical outputs

•Oracle HCM Cloud certification in one or more modules.

•Prior experience in a consulting / Big 4 or System Integrator environment.

•Familiarity with data governance and data privacy frameworks in the context of HR data migration.

Your new company

Our client in public sector is looking for an experienced Data Science Manager to join their team.

Your new role

• Translate strategic direction into actionable ML/AI digital transformation plans, ensuring scalable architecture and responsible AI standards.
• Define and drive CIO Office outcomes and OKRs, aligning with HQ goals and executing long-term roadmaps.
• Identify inefficiencies, anticipate risks, and take decisive action to improve operations and seize opportunities.
• Build cross-functional partnerships and foster a culture of innovation, collaboration, and continuous improvement.
• Develop and manage high-performing teams through coaching, hiring, and creating an environment for sustained performance.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• Deep expertise in satellite data, cloud infrastructure, and government security requirements.
• 10+ years of technical leadership experience in data analytics, database management, and software development.
• Knowledge of space systems such as mission control software, orbital analysis, and space weather tools (preferred).
• Excellent communication and strategic thinking skills, with the ability to translate complex concepts into actionable plans, plus program management experience.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

Job Highlights:

• Uncapped Monthly Commission

• Structured training and mentorship

• Good Company Benefits - Annual Leave, Festive Leave, Birthday Leave, Company Trip

Key Responsibilities:

• Manage full-cycle recruitment: sourcing, screening, interviewing, and shortlisting candidates
• Work closely with the Business Development Team to understand client's hiring needs and requirements
• Drive sales results by matching candidates effectively and closing placements
• Handle job postings, candidate pipelines, and interview coordination
• Maintain accurate records in the CRM

What We’re Looking For

• Sales-driven personality with strong motivation to hit targets

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

https://www.mci.com.sg/wp-content/uploads/2025/09/MCI-Job-Applicant-Data-Protection-Notice.pdf

Ng Zi Ying

CEI Registration Number: R25154197

EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

Aircraft Refueling Technicians (Entry Level Welcome, Mass Hiring)

5 days | Rotating Shift 

Salary: Basic $2,050 + OT + Shift allowances + Transport allowances + AWS

Gross : Up to $3600 - $3900

Address : Changi area

Requirement:

• Preferably working experience with petroleum company, in the Handling / Refueling of aircraft and quality control of aviation fuel.
• Possess a valid Class 4 driving license
• Training Provided

Detailed Duties & responsibilities

1. Safety 

• To be conversant with CHIPS HSSE Policies and IMP.
• Execute all activities ensuring compliance to Company’s HSSE Policies and Management System.
• To adhere all Company’s HSSE Systems and Programs such as Loss Prevention System (LPS) and Smith Driving System.

2. Quality Control

• To carry out daily quality control checks on fuel in mobile fueling equipment. This include visual, dirt, capsule water detector tests and draining and flushing of fueling equipment until satisfactory results are obtained.
• To carry out milipore samplings periodically on mobile fueling equipment.
• To carry out product quality checks during aircraft fueling and upon customers' request to show record for product temperature and density. To collect, label and keep product retention samples correctly.
• To make out aviation delivery receipt and certify product delivered is of the correct quantity and visual quality checks.

3. Equipment and Fueling Operations

• To carry out daily mobile equipment serviceability checks including checking and topping up engine oil, fuel, radiator and battery water.
• Serviceability checks also include equipment like lights, horns, wipers, engine, chassis, pumps, filters, pipes, couplings / nozzles, valves, bonding, brake interlocks, fire extinguishers, hoses, emergency shut-off system and filter water separators / monitors. To request any maintenance when necessary, so that equipment is in a state of readiness.
• To drive mobile fueling equipment and handle them safely in accordance with safe practices and CAG Apron Regulations.
• To operate mobile fueling equipment in accordance with procedures and to monitor and control the fueling operation in an efficient and safe manner. He/she is aided by gauges indicating proper functioning of the equipment.
• To start and stop fueling as instructed by the airline representative.
• To carry out weekly serviceability checks on equipment such as reading and recording pressure differential of filter water separator / monitor and interlock checks.
• To carry periodic checking and testing of fueling equipment such as hose end strainers, testing of PCVs.
• To wash and clean mobile equipment.

4. Documentation

• To prepare Aviation delivery receipts and ensure that particulars and information are correctly stated and to get airline representatives endorsement.
• To record daily serviceability checks and periodic testing results on the appropriate documents.
• To report faults and defects on equipment promptly to duty person and for maintenance follow up.
  

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

What you’ll do:

• Talk to customers and share product benefits

• Create fun, positive brand experiences

• Help with promotions and campaigns

Benefits:

• Fast income growth with bonuses

• Clear progression path into leadership roles

• Full training provided to build communication confidence

• Supportive team with a fun, youthful culture

• Daily interaction, not a desk job

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

About the Role

We are looking for a motivated Data Management Intern to support our data quality, analysis, and process improvement initiatives. This role provides hands-on exposure to real operational data, data visualization, and automation tools within a business environment.

You will work closely with the supervisor to ensure data accuracy, generate useful insights, and improve internal data workflows.

Job Scope

• Data Cleaning & Management: Assist in cleaning and validating customer, supplier, and inventory master data to ensure accuracy, consistency, and completeness.

• Data Analysis & Insights: Perform data analysis to identify trends, patterns, and insights that support operational and business decision-making.

• Data Visualization & Reporting: Create and maintain dashboards and reports to help users monitor key information (knowledge of Power BI is an advantage).

• Process Improvement & Automation: Review existing data management processes and propose improvements, including using Microsoft tools such as Microsoft Lists, Power Apps, and Power Automate.

• Communication & Support: Present insights using data storytelling techniques and assist the supervisor with ad-hoc data analysis, reporting, and related tasks.

Requirements

• Currently pursuing a Degree in Data Analytics, Business Analytics, Information Systems, Computer Science, or a related field.

• Knowledge of Microsoft Excel and data analysis concepts.

• Familiarity with Power BI or other data visualization tools is an advantage.

• Interest in data management, analytics, and process improvement.

• Knowledge of Microsoft Power Platform (Power Apps, Power Automate, or Microsoft Lists) is a plus.

• Strong attention to detail, analytical thinking, and problem-solving skills.

• Self-motivated, proactive, and able to work independently with guidance from a supervisor.

Data Center Sourcing Manager

Job Summary

Altuscloud is seeking a Data Center Sourcing Manager to support the sourcing and procurement of colocation capacity for our cloud infrastructure platform. This role will be responsible for identifying suitable data center partners, conducting technical and commercial evaluations, and supporting vendor selection and contract negotiations to secure reliable and cost-effective infrastructure capacity.

The successful candidate will work closely with Engineering, Infrastructure, and Commercial teams to support the Company's regional growth and expansion plans.

Key Responsibilities

Data Center Sourcing & Procurement

• Support the development and execution of data center sourcing strategies to meet business growth requirements.
• Identify, evaluate, and engage potential colocation providers and infrastructure partners.
• Conduct technical and commercial assessments of data center facilities and service offerings.
• Support capacity planning activities and assist in securing suitable colocation space, power, and connectivity resources.
• Maintain relationships with existing and prospective data center providers.

Technical Evaluation

• Perform technical due diligence on data center facilities, including:Power availability and redundancyCooling systems (air-cooled and liquid-cooled environments)Network connectivity and carrier ecosystemSecurity, operational processes, and facility resilience
• Work with internal technical teams to validate infrastructure requirements and deployment feasibility.
• Assist in evaluating solutions for high-density compute environments.

Vendor Management & Commercial Support

• Prepare and manage Requests for Proposal (RFPs), Requests for Quotation (RFQs), and vendor evaluation processes.
• Support commercial discussions and contract negotiations with data center operators and service providers.
• Review pricing structures, service level agreements (SLAs), and commercial terms.
• Coordinate internal approvals and maintain procurement documentation.

Market Research & Industry Analysis

• Monitor market developments, pricing trends, and capacity availability across key regions.
• Conduct competitive and market analysis to support sourcing decisions.
• Provide insights and recommendations on emerging data center technologies and infrastructure trends.

Cross-Functional Collaboration

• Collaborate with Engineering, Infrastructure, Operations, Finance, Legal, and Business teams throughout the sourcing lifecycle.
• Support contract review and vendor onboarding processes.
• Participate in internal planning and reporting activities related to infrastructure expansion projects.

Requirements

• Bachelor's Degree in Engineering, Supply Chain Management, Business Administration, Information Technology, or a related discipline.
• At least 4 years of relevant experience in data center sourcing, colocation procurement, infrastructure procurement, vendor management, or related fields.
• Experience evaluating or procuring data center capacity, including colocation space, power, cooling, and connectivity services.
• Good understanding of data center infrastructure concepts, including power density, cooling technologies, redundancy models, and networking fundamentals.
• Strong communication, stakeholder management, and negotiation skills.
• Ability to work effectively with both technical and commercial teams.
• Strong organizational and project coordination capabilities.
• Willingness to undertake occasional regional travel when required.

Preferred Qualifications

• Experience supporting cloud infrastructure, AI infrastructure, high-performance computing (HPC), or related technology environments.
• Exposure to data center providers and infrastructure markets in Singapore, APAC, or other international regions.
• Familiarity with high-density rack deployments and advanced cooling technologies.
• Experience working in a fast-growing technology, cloud, or infrastructure-related business environment.

Equal Opportunity Statement

Altuscloud is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace and welcome applications from qualified candidates regardless of background.

Job Responsibilities:

• Lead and drive the full data engineering lifecycle, including architectural design, conceptualization, data modeling, implementation, and operational management of complex data systems.
• Architect, build, and maintain robust, highly scalable data infrastructure, including real-time and batch ETL/ELT data pipelines, utilizing orchestration tools like Apache Airflow.
• Drive the development and continuous improvement of the organization's lakehouse and data warehouse by designing advanced data models and applying modern data transformation practices with tools like dbt.
• Design and automate scalable data processes by integrating diverse systems, APIs, and third-party services to ensure fault-tolerant data flow and synchronization.
• Define and enforce best practices for data governance, quality, and lineage, while establishing comprehensive monitoring and alerting frameworks to ensure system reliability at scale.
• Partner with cross-functional technical and business teams to translate complex business requirements into scalable technical specifications and robust production-ready solutions.
• Architect, deploy, and maintain internal automation solutions and data products. Integrating AI or machine learning components into these solutions to drive efficiency is a strong plus.
• Mentor junior data engineers, conduct code reviews, and provide technical leadership to elevate the team's data engineering practices.
• Any ad hoc duties as assigned.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field is preferred.
• Proven track record and deep understanding of software engineering principles, scalable system architecture, and object-oriented design, with significant experience building enterprise-grade data applications will be a bonus.
• Expert-level proficiency in Python, including extensive experience with data manipulation libraries (e.g., Pandas, NumPy) and frameworks for web scraping (e.g., Selenium). Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Advanced experience designing and deploying complex data pipelines using workflow orchestration tools like Apache Airflow.
• Deep expertise with data transformation tools like dbt and a mastery of modern ETL/ELT design patterns.
• Extensive experience with advanced data modeling techniques (conceptual, logical, physical) and data warehouse schemas (e.g., Star, Snowflake) for large-scale datasets.
• Significant hands-on experience and architectural knowledge of cloud platforms (GCP, AWS, or Azure).
• Highly proficient in SQL with extensive experience in designing, tuning, and optimizing relational databases and modern cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
• Strong practical experience with containerization (Docker, Kubernetes) and designing robust CI/CD pipelines.
• Experience in building AI agents, implementing GenAI solutions in production (AIOps), or developing solutions using Generative AI frameworks (e.g., ADK, LangChain, LlamaIndex) is a advantages.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts clearly to diverse stakeholders and executive teams.
• A highly proactive and analytical approach to solving complex problems, combined with meticulous attention to detail.
• Strong sense of ownership and autonomy, with a proven ability to independently lead major technical initiatives, manage complex projects, and deliver high-impact results.

We are looking for a Data Scientist to join our Data Science and AI Division (DSAD). As an individual contributor, you will apply advanced analytics and machine learning to unlock the value of our data - delivering scalable insights that inform strategy and operational efficiency and contributing to a data-driven culture that enables smarter decision-making across the organisation. Your work will have real impact - from building models that detect fraud and protect citizens, to generating insights that shape policy and regulatory decisions at the organisational level.

What you will be working on

o  Work closely with business teams to understand their data needs, contributing to data science projects that deliver predictive models, dashboards, and other analytical products.

o  Help ensure the integrity and accuracy of data by assessing and validating data quality, identifying anomalies, and working with data engineers to resolve data issues.

o  Apply a range of analytical approaches - from descriptive analytics to advanced machine learning- to develop models for risk scoring, fraud detection, and regulatory reporting that inform operational and strategic decisions.

o  Translate analytical findings into clear visualisations and actionable recommendations for both business teams and leadership.

o  Champion data literacy and good data practices across the organisation, helping to build a culture that values data as a strategic asset.

What we are looking for

• is proficient in statistical analysis, machine learning, and predictive modelling, with hands-on experience in Python, R, SQL, Spark, and data visualisation platforms like Tableau or Power BI
• has some experience building machine learning models at scale, including models for risk scoring or fraud detection
• has some exposure to deploying analytical solutions on enterprise data platforms, cloud platforms like AWS, containerisation tools like Kubernetes, or CI/CD pipelines for scalable deployment
• is self-driven and can manage data science tasks independently, while being open to guidance from senior team members
• is proactive and adaptable, comfortable juggling multiple tasks and delivering results in a fast-paced environment
• enjoys solving complex problems and translating business and regulatory challenges into clear analytical solutions
• thrives working collaboratively across functions, including with product managers, engineers, and business teams
• can communicate analytical findings clearly and persuasively to both technical and non-technical audiences

Field Service Engineer (Semiconductor Equipment, Entry Level Welcome)

4 days, 12 hours shift

Salary: $2,800 - $3,200

Location: Woodlands

Job scopes:

• Install, troubleshoot, repair & service of semiconductor machinery.
• Carry out regular maintenance, repairing of equipment/machines and follow up on work orders, onsite-support equipment/machines installation
• Serves as company contact point with customer on technical matters

Requirements:

• Diploma/Degree in Electrical /Electronic/ Mechanical Engineering
• 1-2 years working experience in Semiconductor Industry, knowledge of electrical & mechatronics.
• Training Provided

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

We are hiring and the details of this position are:

Job title: Data Engineer (Perm role with up to 6mth VB, up to $8000 basic, Azure DevOps, Python)
This role will report to Data and Analytics Lead.

Job Description:
Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimizing data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimizing models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s or master's degree in computer science, data science, software engineering, information systems, or related quantitative field.
• At least 6 years of work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• At least 4 years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must, while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants please send your resume to rita@recruitexpress.com.sg and look for:

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No: 99C4599

EA Personnel Number: R26162019

We regret that only shortlisted candidates will be contacted.

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

About the Role

We are looking for a Data Analyst Consultant to support data-driven decision-making by transforming business data into meaningful insights. The successful candidate will work closely with stakeholders to develop reports, dashboards, and analytical solutions that support business and operational objectives.

Key Responsibilities

• Gather, analyze, and interpret data from multiple sources to identify trends and business insights.
• Develop and maintain dashboards, reports, and visualizations using Power BI or similar BI tools.
• Collaborate with business stakeholders to understand reporting and analytics requirements.
• Perform data validation and quality checks to ensure accuracy and consistency.
• Support ad-hoc analysis and provide actionable recommendations to business teams.
• Work closely with data engineering and technology teams to improve data availability and reporting capabilities.

Requirements

• 2–3 years of experience in Data Analytics, Business Intelligence, or a related field.
• Strong SQL skills and experience querying large datasets.
• Hands-on experience with Power BI
• Proficiency in Excel and data analysis techniques.
• Strong analytical, problem-solving, and communication skills.
• Experience translating business requirements into dashboards and reports.

Nice to Have

• Experience with Python for data analysis and automation.
• Exposure to Databricks, Azure, or cloud-based data platforms.
• Knowledge of data modelling and data warehousing concepts.
• Experience working with financial services, aviation, or asset-intensive industries.

• 3+ years of experience as a Data Analyst, BI Analyst, Reporting Analyst, or similar role.

• Strong analytical skills and ability to work with complex datasets.

• Good SQL skills for querying, validating, and analysing data.

• Experience with reporting and dashboard tools such as Power BI, Tableau, Qlik, or equivalent.

• Good understanding of data quality, data validation, metrics definition, and business rule documentation.

• Experience working with business users to clarify requirements and translate them into reports or dashboards.

• Familiarity with data models, reporting tables, and data pipelines is advantageous.

• Experience in enterprise, public sector, healthcare, or regulated environments is advantageous.

• Strong communication skills and ability to explain data clearly to both technical and non-technical stakeholders.

Kickstart your marketing career with hands-on experience and structured training!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

Support the planning and execution of marketing campaignsEngage with customers to promote brand awareness and campaign objectivesWork closely with team members to ensure smooth campaign operationsContribute ideas during team discussions and campaign brainstorming sessionsMonitor and provide feedback on campaign performance and customer responsesDevelop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

No prior experience required; training will be providedGood communication and interpersonal skillsPositive attitude with a proactive mindset and willingness to learnAble to work both independently and in a team

3️⃣ What We Offer

Structured training and onboarding programmeMentorship and guidance from experienced team membersOpportunities for skills development and career progressionExposure to different marketing campaigns and projects

4️⃣ Additional Information

Position Type: Full-TimeLocation: Singapore

Only shortlisted candidates will be notified.

Job Details:

• Salary: $3,200 - $3,400
• Location: Paya Lebar
• Working Hour: Mon-Fri 830am-530pm

Job Scope:

• General HR support
• HR documentation
• Recruitment support
• Employee onboarding

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

5.5 days, Mon-Fri 9am-6pm/ Sat 9am-1pm (Sat can WFH)

Salary: $2700-$3000

Location: Redhill

Job Responsibilities:

• Liaise with operations and warehouse teams to ensure accurate and timely data processing
• Receive stock checklists, load items to store using trolley, and update records in the system
• Priorities and allocate pick-and-pack orders to courier partners for local and export deliveries
• Oversee store operations and inventory management for car accessories
• Monitor inventory levels, track stock movement, and forecast replenishment needs based on sales trends
• Maintain accurate stock records, manage stock rotation, and ensure timely restocking
• Process customer orders accurately and promptly for both online and in-store sales
• Coordinate preparation, packing, and shipment of orders with suppliers and logistics partners
• Track delivery status and resolve shipment delays, discrepancies, or errors
• Work closely with the sales team to ensure product availability and support customer requirements
• Handle customer enquiries related to order status, delivery, returns, and exchanges
• Prepare basic inventory and fulfilment reports and support other warehouse administrative duties as assigned

Requirements:

• Diploma or equivalent qualification in Logistics, Supply Chain, Business Administration, or a related field
• Basic understanding of warehouse operations, inventory control, and order fulfilment processes
• Able to handle data entry and update systems accurately and in a timely manner
• Comfortable with physical tasks such as loading items using a trolley
• Entry level is welcome to apply as training will be provided

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Training Provided | No Experience Needed | Young Team

Looking for a fun, people-facing role? Join our energetic team where every day feels different and you get paid to yap