Total 999 data entry job vacancies in Information Technology category

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.

Job Description:
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. 

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. 

What a Data Scientist, VCA does at Visa:
We are looking for a Data Scientist to join our VCA team in Malaysia. This role requires transforming raw data into actionable insights that drive business strategies, improve execution and performance of the full cardholder lifecycle. 

The ideal candidate will work closely with Visa’s clients to gather and manage project inputs, analyze data to form conclusions and recommendations, execute and analyze results to improve outcomes. 

Key Responsibilities:

• Lead, execute, and deliver data science projects for Visa's key clients. 
• Develop project scopes, methodologies, and implement solutions using appropriate tools. 
• Understand the Client’s current initiatives and priorities and align with key stakeholders.
• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. 
• Gather and analyze data from VisaNet (i.e., Visa’s transaction data), client’s owned data and 3rd party data sources to understand customer behavior, preferences and trends to help business develop business strategies, optimization activities and improvement of products, marketing techniques. 
• Maintain quality control and documentation for projects. 
• Innovate with Visa's and client data to meet needs. 
• Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact. 
• Independently develop and articulate a compelling storyline with clear insights and actionable recommendations for clients. 
• Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients. 
• Structure documents and project deliverables leveraging data insights and client inputs. 
• Foster thought leadership and innovation in data science. 
• Manage communication with clients and stakeholders. 
• Identify opportunities for innovation using new techniques. 
• Build visualization capabilities to address client problems. 
• Identify market trends through deep analysis of payment industry information. 
• Manage the transfer of technical knowledge for business solution implementation. 

Client Management: 

• Manage and take ownership of all data-related client deliverables and discussions 
• Navigating complex team dynamics 
• Work independently, seeking guidance as needed while ensuring ownership 
• Influence multiple teams they work with or lead

*This is a hybrid position, expectation of days in the office will be confirmed by your Hiring Manager. 

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)

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]

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

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.

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

As a Data Operations Analyst, you will support the Business as Usual (BAU) production processes within the Market Insight (MI) team. Your responsibilities will include learning and executing tasks related to client deliverables, product coding, data input validation and Quality Checks with a focus on specific industries or categories. You will work closely with internal and external stakeholders to apply requested changes, ensure timely and accurate data delivery, and investigate root causes of any data-related issues.

Key Responsibilities:

• Ensure data integrity throughout the data processing lifecycle.
• Verify the accuracy and validity of processed data.
• Assist in resolving quality issues raised by local operations, statistic operations, and performance excellence teams.
• Adhere to regional and global standards consistently.
• Communicate effectively with stakeholders to:
  • Understand and implement requested data changes.
  • Raise queries and clarify data-related concerns.
• Maintain positive working relationships and open communication across relevant operations teams to meet client expectations.
• Ensure timely delivery of data outputs in line with service level agreements (SLAs).
• Conduct and document Root Cause Analysis (RCA) for any data errors or delivery issues.
• Maintain clear and structured documentation of processes, findings, and resolutions.

Required Skills & Competencies:

• Strong observation skills to identify product features and anomalies.
• Basic understanding of electronic product categorization, coding logic, and market dynamics.
• High attention to detail, especially during price and data validation checks.
• Proactive approach to problem-solving and issue resolution.
• Proficient in using internet search tools for product research and analysis.
• Strong interpersonal and collaboration skills to work effectively within a larger team and with stakeholders.

Education:

• Graduation is mandatory for this role.

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