Total 786 Information Technology job vacancies

Your new company

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

Your new role

• Embed data, analytics, and predictive intelligence into everyday decision-making.
• Build predictive models to surface early warnings, risks, and proactive intervention triggers.
• Partner with product teams to define hypotheses, experiments, and user‑centric insights.
• Translate complex data into clear, strategic recommendations and product enhancements.
• Ensure ongoing model performance, fairness, and real‑world impact on client outcomes.
• Own data stewardship: dashboards, visualization, quality standards, and long‑term analytics roadmap.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• 7+ years’ experience in data science or product analytics within outcome‑driven organizations.
• Strong proficiency in SQL and Python for large‑scale data analysis.
• Advanced expertise in statistics and machine learning for insight generation.
• Hands-on experience with data pipelines, databases, analytics tools, and model deployment.
• Strong stakeholder engagement skills, effectively bridging technical and non‑technical teams.

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

2+ years of experience in B2B, lead generation or marketing analytics.

2+ years of recent SQL & Python experience with a deep understanding of structure and unstructured databases

Basic understanding of Python, R or other language to performance data analytical tasks

Working knowledge in relevant technologies –Salesforces, Teradata, Big Query, Notebooks

Able to drive collaboration within a matrix ed environment.

Bachelor’s degree (Computer science, Information technology, or a similar field.) – MBA or advanced quantitative degree is a plus.

We are looking for a skilled Data Engineer with hands-on experience in workflow orchestration, data integration, and cloud-based big data platforms. The role focuses on migrating and re-platforming existing integration workflows, building reliable ETL pipelines, and contributing to Lakehouse-style data architectures that support both batch and streaming workloads.

The ideal candidate has practical experience working with integration platforms, structured data ingestion, and distributed data processing frameworks, and is comfortable operating in non-trivial enterprise environments with multiple applications, data volumes, and operational constraints.

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality &Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

What Success Looks Like in This Role

• Existing workflows are successfully re-platformed with minimal disruption.
• Data pipelines are stable, observable, and easy to operate.
• Platform limitations are addressed through clean, maintainable automation.
• Data ingestion and processing meet performance and reliability expectations.
• Stakeholders trust the data pipelines and integration workflows in production.

5 day week @ AMK area

Maestro HR
damien lee tian hong
R1106726
16C8462

We are seeking an experienced Tech Lead (Java) to lead the design and delivery of high‑performance, secure, and resilient banking applications. The ideal candidate brings deep expertise in Java/JVM technologies, microservices, APIs, and integration patterns—combined with hands‑on leadership of agile delivery teams in highly regulated banking environments.

You will drive end‑to‑end solution design, oversee engineering quality, mentor developers, and partner with Product, Architecture, Security, and Operations to deliver mission‑critical systems.

Key Responsibilities

• Lead end‑to‑end technical design for Java-based microservices and APIs, ensuring alignment with architecture and security standards.
• Define and implement non-functional requirements including performance, scalability, resilience, observability, and security.
• Review and create technical designs (HLD/LLD), ensure clean architecture and DDD principles.
• Develop high-quality code using Java 11/17, Spring Boot, Spring Cloud, and guide coding standards, code reviews, and secure-by-design practices.
• Optimize application performance including JVM tuning, connection management, and thread optimization.
• Design and build integrations with core banking and financial systems using APIs, messaging, and event-driven patterns (Kafka/RabbitMQ).
• Collaborate with data teams on models, lineage, masking, and compliance requirements.
• Design and implement data ingestion, transformation, and ETL/ELT pipelines across on‑prem and cloud data platforms.
• Partner with Data Engineering teams to design data models, schema evolution, lineage, masking, quality checks, and compliance workflows.
• Work with DevOps to enable CI/CD, automated testing, and modern deployment patterns (blue‑green, canary).
• Implement observability solutions including logging, tracing, metrics, SLIs/SLOs, and dashboards.
• Ensure strong security and compliance aligned with banking standards (OAuth2/OIDC, TLS, MAS TRM, PCI-DSS, GDPR).
• Lead engineering teams (onshore/offshore), manage delivery plans, risks, and align with product roadmaps.
• Provide reliable estimates, delivery timelines, and stakeholder updates throughout the SDLC.
• Establish shift-left testing, TDD/BDD, contract tests, and test data strategies.
• Ensure robust UAT readiness, release documentation, and production runbooks.
• Drive root cause analysis (RCA), post‑incident reviews, and continuous improvement.

Qualifications

• Bachelors/Masters degree in Computer Science, Engineering, or related field.
• 8–12 years of total experience, with 3+ years as a Tech Lead in complex, distributed systems.
• Strong proficiency in:Java 11+/17+, Spring Boot, Spring Cloud, REST/GraphQL, JPA/HibernateAPI Gateway patterns, service mesh (Istio/Linkerd) exposure is a plusMessaging: Kafka/RabbitMQ; Datastores: RDBMS (Oracle/PostgreSQL), NoSQL (Redis/Cassandra/MongoDB)Build/CI/CD: Maven/Gradle, Jenkins/GitLab/Azure DevOps; Containers: Docker, Kubernetes/OpenShiftTesting: JUnit, Testcontainers, WireMock/PACT, Cucumber; Performance: JMeter/GatlingObservability: OpenTelemetry, Prometheus/Grafana, ELK/SplunkSecurity: OAuth2/OIDC, Keycloak/Okta/AAD, mTLS, Vault/KMS
• Solid understanding of networking (DNS, TLS, proxies, firewalls) and Linux.
• Solid background in data platforms, ETL/ELT pipelines, and distributed data processing.

Preferred Banking Domain Experience

• Built or modernized solutions in one or more of:Payments (ISO 20022, SWIFT), Cards, Lending, Core Banking, Treasury/Markets, Trade FinanceRisk & Regulatory (Basel, BCBS 239), Fraud/AML/KYC, Customer 360
• Experience with CAB/ITIL, deployment windows, multi‑zone/DMZ patterns, and HA/DR architectures across data centers or cloud regions.
• Exposure to low-latency trading, event-driven and near real-time processing, and reconciliation controls.

Soft Skills

• Strong leadership and mentoring; able to elevate engineering practices across squads.
• Clear communication with both technical and non‑technical stakeholders.
• Outcome‑oriented, pragmatic decision‑making; balances delivery speed with risk and quality.
• Excellent documentation and presentation skills.

Certifications (Nice to Have)

• Oracle Certified Professional: Java SE, or equivalent.
• Spring Professional, CKA/CKAD, Red Hat OpenShift.
• Cloud (AWS/Azure/GCP Architect/Developer).
• Security (CCSP, CSSLP) or ITIL Foundation.

This is a Group/global role with responsibilities split across being a Head of Data Analytics and leading on Financial Analysis. The role is responsible for building and managing in-house analytics with the aim of using analytics to develop insights and drive commercial decision-making. This involves high-level responsibilities in developing a Data Analytics strategy to support business strategy, leading on analytics projects across the F&B operations and member behaviour analysis along with analysing the financial performance of the business (e.g., P&L analysis, financial model building). The role is cross-functional and has interactions with all departments in the business. Given the mix of analytics and financial analysis, the holder must have had extensive experience of both fields across APAC and EMEA.

Responsibilities

-        Build and grow in-house analytics capabilities; developing data and analytics strategy
-        Develop techniques and processes to transform raw data into meaningful insights and information using programming tools and visualisation software
-        Leadon data mining, modelling and conducting analysis to provide commercial insights to drive business performance (including developing predictive analytics capabilities)
-        Build and manage production of reports and dashboards (financial, product sales, member behaviour), including visualising and interpreting findings
-        Leadon data governance and ensuring data integrity across systems/reports
-        Business partner with other departments and stakeholders on various analytics tasks
-        Support strategic projects, including financial model development
-        Work with in-house Technology team to ensure alignment on new technologies and AI implementation

Qualifications needed

-        Qualified Accountant (e.g., ACA, ACCA, CIMA)
-        Bachelor’s or Master’s degree in a relevant subject (e.g. data science, statistics and/or customer behaviour)

Job requirements

-        Proven leadership experience: building and leading Analytics teams; developing analytics strategy and roadmap to support business strategy
-        10+years of experience in analytics, commercial insights and financial analysis
-        Essential: past experience working with private members clubs and F&B
-        Regional experience across APAC and EMEA
-        Experience working with different types of analytics and data: financial, F&B sales, customer behaviour; including generating of monthly reports into these
-        Strong commercial acumen: ability to translate data into commercial insights and communicate these to stakeholders in a cross-functional capacity
-        Analytics experience throughout data lifecycle: extraction of raw data, transformation, mining and modelling of this, through to visualising and reporting.
-        Technical skills: proficient in using SQL, Python/R, Power Query, Excel and visualisation tools (e.g., Power BI)
-        Experience working with both financial systems (e.g., Xero, Jonas, 365), ERP and POSsystems

Only shortlisted candidates will be notified.

Duties and Responsibilities

·       Source and map ESG data to support sustainable investment analytics for regulatory and client reporting

·       Utilize tools like Python, Power BI/Tableau for the analysis and visualization of ESG data, delivering promptly upon reporting requirements

·       Keep up to date with ESG regulations, notably in the EU (SFDR, CSRD etc.) and the UK and emerging regulations and disclosure standards (e.g. IFRS ISSB)

·       Contribute to the improvement and automation of our ESG data sourcing, processing, analysis, and reporting practices including evaluating external data and solution partnerships

·       Lead development and integration of AI solutions within the Global ESG space to the Global Sustainable Investment team

·       Act as the central point of contact on ESG data aggregation, working with the wider business to define, test and implement a central repository of key data for use across the firm

·       Oversee and execute proper maintenance of systems and databases to ensure the accuracy and integrity of ESG data, including development of a common ESG taxonomy and data catalogue

·       Advise business on ESG data availability and how to effectively utilize ESG data for strategic decision-making

·       Work on various ESG data projects with internal stakeholders, incl. global sustainable investment team, investment teams, risk, client services, product to meet reporting requirements and enhance ESG solutions

·       Develop various ESG reporting templates and analytics tools for investment teams. This assistance is operational support in nature

·       Ensure the firm’s ESG data capabilities are kept up todate in line with changing regulatory environments and evolving client and business needs

·       Provide ESG data inputs and analytical support for enterprise-wide projects such as climate stress testing, focusing on research and operational processes

Knowledge and Skills

·       Adept with writing code (Python is the preferred language) to manipulate large datasets is essential

·       Strong SQL knowledge will be considered favourable

·       Genuine interest in ESG

·       Willingness to (further) develop knowledge of ESG data and analytics

·       Ability to build strong relationships at all levels

·       Have strong attention to detail, be numerate and logical in their approach to problem solving

·       Ability to take ownership and responsibility and to be able to multi-task and support the team

·       Possess a high aptitude of analytical and mathematical skills which are required for calculating, reviewing, understanding and disseminating data

·       Must demonstrate strong service orientation by supporting internal departments with timely and accurate responses to client requests, and by engaging effectively with internal and external stakeholders in a support capacity.

·       Able to communicate effectively both written and orally

·       Advanced Microsoft Excel skills are a prerequisite

·       Data visualization skillsets will be considered favourable

·       Must show the ability to meet deadlines, establish priorities and concentrate on detailed information sometimes under stressful conditions

·       The ability to cooperate in a team environment is critical even when working remotely

Experience and Qualification

·       Previous experience with/exposure to ESG data (MSCI, Sustainalytics, Bloomberg etc.)

·       Experience in reporting in line with UK and EU regulations, incl. SFDR, EU Taxonomy and TCFD would be a plus

·       Familiarity with carbon accounting standards such as PCAF preferred

·       Educated to degree level or equivalent in Mathematics, Finance, Accounting, Data Science, Data Analytics or a related field

·       ESG CFA preferred, but not required

·       Deep understanding of data transformation and governance, skilled in managing metadata to ensure data quality and adherence to standards

·       Experience with the use of FactSet and/or Bloomberg

·       Experienced in agile project delivery, adept at breaking down complex business requirements into concise, actionable user stories.

·       Widespread knowledge of investment products

Key Responsibilities:

• Pre-sales support: Work closely with sales and delivery team to define, demonstrate, build solution and estimate for a potential opportunity.

• Providing vision on industry trends and client challenges to develop compelling value propositions for prioritized industries

• Developing Go-To-Market approaches for the Singapore/APAC Cluster across geographies and industries, aligned with NTT DATA Group’s Data & AI portfolio and offerings

• Supporting the Sales League in identifying both target customers and relevant Data & AI solutions to enhance sales performance

• Engaging in client discussions, identifying new opportunities, and driving them with Sales Teams

• Augmenting Sales Teams for effective pre-sales activities (e.g., customer engagement pitches, solutioning, proposals)

• Leveraging the most appropriate global capabilities (e.g., Centers of Excellence, Global Delivery Centers, and local practices), assets, delivery models, and methodologies to deliver optimal sales and delivery solutions

• Differentiating NTT DATA’s Data & AI customer proposals through innovation, leveraging Group capabilities (e.g., AI Labs, Innovation Centres, Robotics Lab, Research Centres)

• Bridging market demand with skill supply plans, contributing to the development of short- and long-term recruitment and reskilling strategies to support growth

• Compiling and implementing development plans for Migration/upgrade of Data and AI platform.

• Ability to guide the development team on the design, testing, and modification stages.

Knowledge and Attributes:

• At least 10 years of experience in consulting and/or IT services;

• Having led data-driven projects with direct connection to business outcomes: data platform with modern technologies (Azure, AWS, Google, Snowflake, Databricks); data government projects (Informatica, Collibra, Azure Pureview); AI projects (Custom ML/AI models, Gen AI, Agentic AI);

• Experienced in strategic selling of Data and AI solutions in Singapore.

• Being talented to blend Business perspective and Technological solutions;

• Relevant CxO relationships, preferably in Singapore, both towards business and IT stakeholders;

• Knowledgeable of Data & AI market dynamics;

• Fluent in English with excellent communication/oration skills.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in information technology/systems or Equivalent.

• Hands on experience in any of Data and AI platforms.

• Prior Pre-sales experience with systems integration (SI) organization is preferred.

Required experience:

• Advanced track record as a developer and architect of new systems/solutions.

• Advanced client engagement and development consulting experience.

• Advanced experience managing expectations when balancing alternatives against business and financial constraints.

• Advanced experience in a variety of architectures for specific domain or specialization.

• Advanced designer and development know-how.

• Advanced experience presenting technical solutions to non-technical audiences.

• Advanced experience working in an agile development environment.

Job Descriptions:

• Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems and structured cabling systems.

• Managed DC/Building landlord ensuring preventive maintenance on data centre infrastructure and systems are performed promptly.

• Respond to alarms, troubleshoot issues, and ensure prompt resolution.

• Liaise with DC/Building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.

• Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.

• Ensure strict adherence to data centre physical security procedures.

• Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.

• Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.
  

Requirements

• Minimum 5 years of experience in data centre facility management.

• Experience working in a high-pressured environment with 24x7 on-call responsibilities

• Strong knowledge of electrical, mechanical and fire suppression systems in data centres.

• Knowledge of structured cabling system and rack-and-stack will be advantage

• Strong understanding of incident, problem and change management procedures based on ITIL best practices

• Proficiency in troubleshooting and problem-solving.

• Excellent communication and interpersonal skills.

• Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform 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. R1877971 (Derrick Tiew Yong Han)

Background in banking or other mission-critical facilities is a MUST

We are seeking an experienced Data Centre Delivery Services Engineer to lead and support the planning, design, and implementation coordination of data center infrastructure. The ideal candidate will have at least 5 years of hands-on experience in interpreting DC plans, designing layouts, reviewing vendor submissions, and managing infrastructure implementation in line with technical and operational standards.

Responsibilities

• Read, interpret, and validate data centre floor plans and technical drawings
• Design and plan DC hall layouts for newly allocated spaces, including rack positioning, structured cabling, power, and cooling design
• Review and assess vendor-submitted data centre plans, evaluate proposed technologies, and clarify design justifications
• Present findings and proposals to internal stakeholders through clear reports and presentations
• Coordinate and oversee the implementation of data centre infrastructure with vendors, contractors, and internal DCO teams
• Ensure that implementation follows approved designs and complies with safety, regulatory, and operational standards
• Contribute to the improvement of internal design standards and delivery practices

Requirements

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field
• Minimum 5 years of experience in data center design, planning, and implementation coordination
• Proven ability to interpret and work with data center schematics and technical layouts
• Strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure
• Experience working with vendors, contractors, and internal engineering teams in infrastructure project delivery
• Good communication and stakeholder management skills
• Familiarity with regulatory and industry standards in high-availability data centre environments

Relevant certifications are highly regarded:

• CDCDP® – Certified Data Centre Design Professional
• DCDC – Data Centre Design Consultant
• ATD – Accredited Tier Designer
• CDCE® – Certified Data Centre Expert
• CDCMP® – Certified Data Centre Management Professional
• PE (Professional Engineer) certification is an added advantage, especially for validating and endorsing design compliance

Interested candidates, 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 you that only shortlisted candidates will be notified.

Gelangre Reyanelle Gelario | REG No : R1870995

PERSOL SINGAPORE PTE LTD | EA License No : 01C4394

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Senior Data Centre Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities. This role provides technical leadership in managing critical M&E infrastructure, supports service delivery excellence, and ensures compliance with safety, operational, and regulatory standards.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan, supervise, and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Technical Leadership

• Provide technical guidance and mentorship to junior engineers and technicians.
• Act as escalation point for complex technical issues.
• Support audits, certifications, and compliance initiatives (e.g. ISO, SS 564, Uptime).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 4-5 years of relevant experience for a data centre

Work Locations: Bedok/Woodlands (Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $5500

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Location: One-north

Working Hours:

Office hours

Mon-Thur : 830am - 6pm, Fri : 830am - 530pm

Job details:

• Provide administrative support under the Division Management Office (DMO) team.
• Help with planning activities, prepare reports, assist with various office administrative tasks.
• To participate in ad-hoc HR projects, helping to organize and coordinate activities and support other process improvements initiatives.
• Develop dashboards and trackers to monitor overall performance achievements and incident rates.

Job requirements:

• Proficiency in creating dynamic dashboards in Microsoft Excel
• Strong attention to detail and analytics skills.
• Good communication and interpersonal skills.
• Organised, proactive, and able to work independently with minimal supervision.

Interested candidates, kindly send a copy of your resume to: healthcare7@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: healthcare7@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599

Duration: 1 yr contract
Location: Tuas
Salary: Up to $3700
Working Hours: Office hours 5 days - role is Mon - Fri Onsite

Job Scope:

• Accurate data entry from batch records
• Support process monitoring and analytics
• Manage & validate data collection systems (e.g. GDM, Webstatistica)
• Collaborate with data consumers and technical teams
• Ensure compliance with SOPs, policies & training requirements

Job Requirements:

• Min. Diploma/ Degree in any field
• Prior experience in science/ chemistry etc
• Must have GMP experience

Interested applicants please submit their detailed resumes via email to melissa@recruitexpress.com.sg

All applications and personal information received will be treated with the strictest confidence.

Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
EA Licence No.: 99C4599

We are looking for a Data Engineer (Python and Scala/Java). This is a 6-month contract role (renewal is subject to project requirements).

Requirement:

• 2–6 years of relevant experience in software/data engineering
• Proficiency in Scala/Java and Python
• Strong communication skills with a good command of English
• Solid experience with ETL processes, including the Spark suite (PySpark)
• Hands-on experience with the Hadoop stack (Hadoop, Hive, HDFS)
• Ability to design and develop Data APIs
• Experience with Operational Data Stores (ODS), Master Data Management (MDM), and data modelling
• Proven experience in building data frameworks and data architectures

Good to have:

• Experience in data warehousing, data lakes, and data management, including data processing and optimisation
• Intermediate knowledge of Artificial Intelligence (AI) and basic Data Science concepts
• Experience with BI tools, e.g., Tableau dashboard development and reporting

Job Summary

Develop and maintain Linux embedded firmware and driver programs, perform chip testing and debugging, and create software control algorithms for power management to support advanced embedded system solutions.

Responsibilities

• Develop, port, optimize, and maintain firmware for Linux embedded systems to enhance device performance and reliability
• Design and implement driver programs for peripheral modules to ensure seamless hardware integration
• Conduct chip testing, debugging, and driver development to validate hardware functionality and software compatibility
• Develop software control algorithms focused on power management to improve system efficiency and stability

Preferred competencies and qualifications

• Bachelor's degree or higher in Communications, Electronics, Computer Science, Automation, Mathematics, Physics, or related fields
• Ability to read and interpret embedded microprocessor datasheets to support hardware-software integration
• Familiarity with embedded microprocessor principles and hardware concepts to troubleshoot and optimize embedded systems
• Knowledge of common data structures and skills to analyze and design algorithms for software development
• Strong C or C++ programming and debugging skills applied in embedded software design and development
• Clear logical thinking, strong learning capability, proactive attitude, and a strong sense of responsibility to drive project success

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

Get to Know the Team

You'll join the Data Science team focused on grocery and retail services across our region. The team builds intelligent systems that make shopping more intuitive—from predicting what customers need before they search, to ensuring fresh groceries arrive on time. We work with Engineering, Product, and Operations teams to turn complex data challenges into practical solutions that serve millions of customers and merchant partners daily.

Get to Know the Role

You'll own data science projects from problem definition through to production deployment. Your work will directly shape how customers discover products, how we predict demand across neighbourhoods, and how we balance supply with real-time demand. You'll architect ML solutions, build predictive models, and deploy services that operate at scale. You'll also guide the team's technical direction and contribute to our research and IP portfolio.

The Critical Tasks You will Perform

You will:

• Architect and deploy agentic AI systems that predict shopping intent and power autonomous shopping assistants—allowing conversational discovery, automated reordering, and personalised recommendations for grocery and retail customers.
• Build spatio-temporal demand forecasting models that process complex signals (transactional, behavioral, and geospatial data) to generate granular SKU-level predictions across multiple time horizons—optimizing inventory positioning and reducing stock-outs and waste.
• Develop supply-demand balancing algorithms that use contextual signals to adjust platform visibility and nudge demand—allowing real-time optimization of merchant and driver supply allocation across neighbourhoods.
• Create predictive models for order lifecycle reliability that identify high-risk orders prone to cancellation, predict fulfillment failures due to inventory gaps, and flag transactions requiring proactive intervention—safeguarding the end-to-end delivery experience.
• Design customer targeting and segmentation models that decode unique shopping patterns to identify underserved customer segments—driving sustainable demand growth through intelligent automated targeting.
• Establish ML production standards by implementing versioning, automated testing, and performance monitoring for ML pipelines—ensuring model reliability and allowing iteration.
• Lead technical roadmap development by evaluating latest methodologies, contributing to research publications, and building intellectual property that advances our AI capabilities in commerce.

The Career Conversion Programme (CCP) (Attach-and Train) for Advanced Biopharmaceuticals Manufacturing Executives/Professionals is a talent development programme aimed at building the next generation of skilled manpower for Singapore’s Biopharmaceuticals manufacturing industry in anticipation of hiring demand. 
 

The training programme consists of 15 months of local attachment with GSK. Due to the nature of the programme, we can only consider Singapore Citizens and Singapore Permanent Residents. Due to the nature of this traineeship programme, kindly note that training allowances are CPF exempted.

For more information, please visit: https://www.wsg.gov.sg/home/individuals/attachment-placement-programmes/career-conversion-programmes-for-individuals
Please apply for the role here: https://jobs.gsk.com/en-gb/jobs/437451

Role Description:

The role has the accountability to ensure that quality compliance standards are defined, established and maintained on site in accordance with both internal (corporate) and external regulatory expectations on current Good Manufacturing Practices (cGMP).

Trainee to be involved in:

• Establish/maintain quality compliance standards consistent with Quality Management System (QMS) by providing support in areas such as:

- Reviewing site policies, procedures and training materials related to quality system

- Providing advisory support to business on compliance area

• Provide QA consultation with stakeholders to resolve issues on Document and Data Management

• Manage quality related Key Performance Indicator (KPI), including data collation, regular KPI metrics reporting and identification of issues and opportunities for improvements in site quality performance

• Ensure the effective implementation of the GMP and Data Integrity training

• Steer and/or implement compliance initiatives, standardization of quality systems across key quality systems and quality improvement projects

Education / Requirements:

• Graduated with a Bachelor's Degree in a relevant science discipline

• Relevant experience in the pharmaceutical industry is a bonus

• Preferably with experience in Quality functions

Competencies / Skills:

• Good knowledge of quality and manufacturing process

• Good interpersonal and influential skills

• Good oral and written communication skills

• Growth mindset

• Project Management skill

• Analytical thinking

• Teamwork

• Integrity

• Eye for details

What do we offer?

• Monthly training allowances (not subject to CPF contributions)

• On-the-job training while working with a diversified team of professionals 

• Understand and experience the GSK Culture 

• Implement technical knowledge and skills that you have acquired

• Apply and develop soft skills such as interpersonal, communications and negotiation skills 

• Transport to and from site to MRT stations in centralised locations all across Singapore  

Where will I be based?

You will be based at one of our manufacturing site in Singapore near Jurong.

Location: One-north

Working Hours: Mon-Thur : 830am - 6pm, Fri : 830am - 530pm

Job details:

• Develop dashboards and trackers to monitor overall performance achievements and incident rates.
• Provide administrative support
• Help with planning activities, prepare reports, assist with various office administrative tasks.
• To participate in ad-hoc HR projects, helping to organize and coordinate activities and support other process improvements initiatives.

Job requirements:

• Min Diploma in Human Resources, Business Analytics, Statistics, or related fields.
• Prior internship or work experience in HR or data-related roles is a plus.
• Strong proficiency in Microsoft Excel (pivot tables, VLOOKUP, charts) and PowerPoint
• Strong attention to detail and analytics skills.
• Good communication and interpersonal skills.
• Organised, proactive, and able to work independently with minimal supervision.

Interested candidates, kindly send a copy of your resume to: healthcare7@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: healthcare7@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599

• 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

Job Description & Requirements

We are looking for a motivated Hadoop Engineer with 3 years of hands-on experience in managing Cloudera Hadoop environments.

Key Responsibilities

• Optimized Hadoop algorithms
• Monitor Hadoop cluster performance and ensure service availability
• Handle incident management and perform vendor log collection for Cloudera products
• Execute application stop-start and configuration requests as per operational needs
• Perform job failure analysis queue management and resource allocation
• Perform NiFi template migrations
• Contribute to backup and recovery operations for critical datasets
• Participate in Cloudera minor version upgrades and hotfix deployment under supervision
• Support DR drill activities and synchronization between production and DR environments
• Monitor platform using Cloudera Manager Grafana and ELK dashboards

Required Skills Experience

• 3 years experience with the Hadoop ecosystem HDFS YARN Hive Spark Oozie
• Basic understanding of Cloudera Manager
• Proficient in shell scripting
• Familiar with Kerberos authentication Ranger security and user access management
• Understanding of patch management and platform upgrade workflows
• Programming of Python or Ansible scripting for automation
• Experience in CICD based cluster operations
• Familiarity with AWS or Azure based Hadoop deployments

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Scientist

Responsibilities:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities

Requirements:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

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Interested applicants can also email CV at asmita@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Scientist"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Chauhan, Asmita
EA Personnel Registration Number: R1980706

By applying for this role, you have read and acknowledge the Data Privacy statement - http://www.nsearchglobal.com/data-protection-notice/

1.     Data Pipeline Development & Management

·      Design, build, and maintain robust data pipelines usingAWS Glue

·      Implement ETL/ELT processes for data ingestion frommultiple sources

·      Optimize data workflows for performance and scalability

·      Monitor and troubleshoot data pipeline failures andperformance issues

2.     Data Infrastructure & Engineering (with IPOS ITDepartment)

·      Manage and optimize AWS Redshift data warehouse operations

·      Configure and maintain data storage solutions (AWS S3,data lakes)

·      Implement data partitioning, indexing, and compressionstrategies

·      Support Infrastructure as Code (IaC) for datainfrastructure deployment

3.     CI/CD & DevOps for Data (with AWS partners and IPOS ITDepartment)

·      Develop and maintain CI/CD pipelines for data workflowsusing GitLab

·      Implement automated testing for data pipelines and dataquality

·      Support version control and deployment strategies for dataassets

·      Configure AWS Lambda functions for data processingautomation

4.     Monitoring & Support (with IPOS IT Department)

·      Set up monitoring and alerting for data pipeline health

·      Provide technical support for data-related issues

·      Collaborate with technical teams on data architecturerequirements

·      Optimize query performance and database operations

5.     Documentation & Reporting (with IPOS IT Department)

·      Document data pipeline architectures and technicalspecifications

·      Maintain runbooks and operational procedures

·      Conduct monthly progress meetings (1 hour) to report onsystem health

·      Track engineering tasks through SHIP-HATS Jira

·      Maintain technical documentation on SHIP-HATS Confluence

RequiredSkills & Experience:

·      Strong background in data engineering and data pipelinedevelopment

·      Proficiency in SQL, Python, and shell scripting

·      Extensive experience with AWS data services (Redshift, S3,Glue, Lambda, CloudWatch)

·      Data warehouse design and optimization experience

·      Strong CI/CD pipeline knowledge (GitLab preferred)

·      Infrastructure as Code (IaC) experience (Terraform,CloudFormation)

·      Knowledge of data modeling and database design principles

·      Strong troubleshooting and performance optimization skills

Thankyou!

Data Analytics Engineer (Contract)

Location: Singapore

Contract Type: 12-months Contract (Extendable & Convertible)

Keywords: Data Transformation, Data Architecture, Qlik Sense, Qlik Cloud, Snowflake, SQL, Python, Cloud (AWS/Azure), Data Governance, Analytics

Company / Role Overview

A well-established consumer retail organisation is looking to hire a Data Manager to support ongoing data transformation and analytics initiatives. This is a hands-on individual contributor role focused on building scalable data pipelines, managing cloud-based data platforms, and enabling business intelligence capabilities across the organisation. The role sits within the technology function and reports directly to the Head of Technology, working closely with business stakeholders to deliver reliable, high-quality data solutions. Exposure to AI-driven use cases is beneficial, particularly where data solutions have been embedded into operational workflows.

Key Responsibilities

• Design and implement end-to-end data pipelines, covering ingestion, transformation, modelling, and delivery
• Develop and maintain scalable cloud-based data architectures to support reporting, analytics, and evolving AI use cases
• Prepare structured, high-quality datasets to enable business intelligence and advanced analytics
• Act as the technical owner of enterprise data platforms, ensuring performance, stability, and continuous improvement
• Configure and manage data warehouse and analytics environments, including troubleshooting and optimisation
• Implement and maintain data governance standards, including data quality checks, validation rules, and documentation
• Support development of dashboards and reporting layers, improving accessibility and usability of data for business users
• Work closely with stakeholders to translate business needs into practical data solutions and promote self-service analytics

Job Requirements

Must-Have:

• 4–5 years of experience in data engineering, data analytics, or data platform roles
• Proven experience working on data transformation or data platform initiatives in an enterprise environment
• Hands-on experience with Qlik Sense and/or Qlik Cloud for analytics and reporting
• Strong proficiency in SQL and experience with data transformation tools
• Experience working with cloud-based data platforms (e.g. Snowflake or equivalent)
• Familiarity with cloud environments such as AWS and/or Azure
• Strong ownership mindset with the ability to work independently and manage multiple priorities

Nice-to-Have:

• Experience integrating AI or machine learning outputs into business workflows (not just exposure)
• Familiarity with Python or similar languages for data processing or analytics use cases
• Experience with additional BI tools such as Power BI or Tableau
• Exposure to data governance practices including lineage, quality, and compliance
• Background in retail or consumer-driven environments
• Demonstrated career stability (e.g. longer tenures in prior roles)

If this role aligns with your experience and career goals, please send your application to AviralBhargava@argyllscott.sg.

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Focus: Engineering Analysis, Carbon Modelling & ESG Strategy

Role Purpose:

As a Sustainability Analyst, you will bridge the gap between engineering principles and environmental

strategy. This role is designed for an analytical professional who can take, raw data from industrial or

corporate environments and transform it into clear, actionable decarbonization roadmaps. You will use

your engineering logic to ensure that sustainability goals are not just ambitious, but technically

feasible.

Key Responsibilities

1. Advanced Data Analysis & Tool Building

 Excel Modeling: Build and manage complex, automated spreadsheets to calculate energy

intensity, and water usage.

 Automation: Utilize Advanced Excel (Power Query, Pivot Tables, and Arrays) to clean

large datasets from clients and create repeatable calculation templates.

 Quality Assurance: Audit client data for technical consistency, ensuring that engineering

units (kWh, tonnes, MJ) are converted and reported accurately.

2. Engineering-Led Sustainability Strategy

 Process Assessment: Review engineering diagrams (P&IDs), utility bills, and equipment

specs to identify energy-saving opportunities.

 Technical Feasibility: Assist in evaluating green technologies (e.g., HVAC upgrades,

electrification, or waste-to-energy systems) from both a carbon and cost perspective.

 Benchmark Modeling: Compare client performance against industry standards using first-

principles engineering calculations.

3. Reporting & ESG Frameworks

 Impact Visualization: Translate spreadsheet data into compelling charts and dashboards for

client presentations.

 Compliance Support: Draft technical sections of sustainability reports in alignment with

global frameworks like GHG Protocol, GRI, or CDP.

 Continuous Learning: Stay updated on emerging green technologies and carbon

regulations to provide & "ahead-of-the-curve" advice.

Requirements & Qualifications

 Experience: Minimum 2 years of professional experience in consulting, energy

management, or a technical engineering role.

 Education: Degree in Engineering (Mechanical, Chemical, Environmental, or Civil).

 Excel Skills: Advanced proficiency is non-negotiable. You should be comfortable handling

large datasets, building interactive models, and using complex formulas to solve problems.

 Analytical Mindset: A "detective" approach to data—finding the story within the numbers and

identifying errors in technical reports.

 Sustainability Flair: A demonstrated interest in the green transition, circular economy, or

renewable energy. You don't just "do the math"; you care about the impact.

Why This Role?

This role offers the opportunity to apply a "hard" engineering skill set to the "soft" world of corporate sustainability. You will be the technical backbone of the team, ensuring that every sustainability claim the client makes is backed by rigorous data and sound engineering logic.