Total 777 Information Technology job vacancies

We are seeking an experienced DCS Engineer to support the design review, planning, and delivery of mission‑critical data centre infrastructure.

The role focuses on validating data centre layouts, power, cooling, and cabling designs, reviewing vendor submissions, and coordinating implementation to ensure compliance with standards and regulatory requirements. You will work closely with vendors, contractors, and internal operations teams in high‑availability environments.

Requirements:

• Degree in Engineering (Electrical / Mechanical / Computer or related)
• Minimum 5 years’ experience in data centre design, planning, or infrastructure delivery
• Strong knowledge of rack layouts, cabling, power, and cooling systems
• Experience engaging vendors and managing delivery
• Familiarity with mission‑critical data centre standards
• Certifications such as CDCDP, ATD, CDCE, CDCMP, or PE are an advantage.

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

EA Registration No.: R1658484, Amita Raj

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description

To achieve excellence in preventative and reactive maintenance programs incorporating industry best practice, innovative maintenance techniques and statutory and contractual compliance. Oversee the management and control of all plant, mechanical and electrical systems and to co-ordinate remedial action with the Engineering Team in the event of Business Critical failures. To provide leadership and direction to multi skilled Engineering Operations teams made up of directly employed staff and appointed vendors. Ensure that all staff and vendors employed within the clients facilities strictly adhere to client and JLL’s policies and procedures. Act as point of escalation for critical failures to assist the technical team to make safe, identify, analyse, rectify and report improvements. Reports to the Data Centre Operations Manager.

Major Responsibilities

• Manager the site operations, including effective hiring, motivation, development, training and discipline of the site operation technicians and maintenance teams.
• Monitor KPI and up-time requirements.
• Support site reviews, including maintenance standards, equipment replacement, security, change control, single points of failure, Tier adherence and operational risk.
• Ensure delivery of planned and reactive activities, utilizing the CMMS platform within financial operating targets.
• To perform additional tasks as required by the Data Centre Operations Manager, and Client Critical Facilities Manager.
• Support advice and consultation to operate the client’s facilities with regard to facilities engineering matters.
• Responsibility for site repair and maintenance carried out by subcontractors to ensure work completion, quality and method of working for compliance with specification and ordinance requirements.
• Monitor, measure and report upon the performance of all specialist contractors in terms of their ability to carry out the work against the agreed contractual budget.
• Lead and Support meetings regularly with contractors, specialist vendors and suppliers to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below expectations.
• Support daily cadence meetings, monthly operation meeting and quarterly business review with UOB
• Ensure that maintenance documentation meets the required standards and sufficient information is provided to operate an effective asset management regiment.
• Assist/support the client with statutory compliance requirements/certifications for the site.
• Ensure asset information is maintained and changes updated within the CMMS.
• Ensure site operations, including incident management and escalation is performed in accordance with approved Client/JLL procedures.

Ideal Experience

• Tertiary qualifications in a mechanical, electrical or operational engineering discipline.
• At least 3 years’ experience in the operation of electrical and mechanical services in Tier III or equivalent data centre or critical facility.
• Resourceful, analytical and problem-solving skill
• Good communication and interpersonal skills and ability to interact with a wide range of client, client stakeholders and vendor staff
• Possess relevant DC certifications
• Understands continuous improvement initiatives, client relationships and preparation of reports.

Role Overview

As our Data Engineer, you will own the lifeblood of our legal AI platform — the data pipeline that keeps our knowledge graph accurate and current. You will build CDC (Change Data Capture) pipelines to synchronize our Neo4j knowledge graph with Singapore’s official legal publications, implement data quality validation frameworks, and ensure version control across statutory amendments. When a new Gazette is published, your pipeline is what makes our AI know about it within days — not months.

Key Responsibilities

• Design and implement CDC pipelines to capture incremental changes from Singapore Gazette, AGC consolidated statutes, and other authoritative legal sources

• Build automated data ingestion workflows: scraping, parsing, structural analysis of legal documents (Act → Part → Division → Section → Subsection)

• Implement temporal metadata extraction: effective dates, repeal dates, amendment lineage, and version tracking for every statutory provision

• Develop data quality validation framework: automated checks for temporal conflicts, missing citations, entity mismatches, and cross-jurisdiction inconsistencies

• Manage Neo4j graph data loading and incremental updates — updating specific nodes without full graph rebuilds

• Build monitoring dashboards for data pipeline health: ingestion latency, error rates, coverage metrics

• Implement data versioning and rollback capabilities for audit compliance

• Collaborate with Backend Engineer on ETL-to-KAG integration and with QA on data accuracy validation

Requirements

• 2+ years experience in data engineering, ETL development, or data pipeline architecture

• Proficiency in Python and/or Go for data processing scripts and pipeline orchestration

• Experience with graph databases (Neo4j preferred) or relational databases (PostgreSQL)

• Hands-on experience with CDC tools or patterns (Debezium, Kafka Connect, or custom CDC)

• Understanding of data quality frameworks and validation methodologies

• Familiarity with AWS data services (S3, Glue, Lambda, or Step Functions)

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with web scraping and document parsing (BeautifulSoup, Scrapy, or similar)

• Background in legal data, regulatory data, or structured document processing

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect)

• Knowledge of NLP-based entity extraction or named entity recognition

On behalf of one of its clients, an Insights & Strategy Consultancy, the French Chamber of Commerce is looking for a Data & Insights Manager – Financial Services.

Our client is a premium subscription-based insights and data platform, partnering with leading luxury brands across multiple luxury verticals. The platform enables financial services players to better understand affluent and High Net Worth (HNW) consumers, strengthen client acquisition and retention strategies, and grow market share in highly competitive environments.

This role combines strategic consulting, client advisory, and business development, helping financial services clients unlock growth opportunities through high-value consumer insights.

Key Responsibilities

- Partner closely with Senior Directors to identify, scope, and structure consulting engagements, develop commercial proposals, and assess return on investment.

- Translate affluent and HNW consumer data into clear, insight-led strategic narratives that demonstrate measurable business impact for financial services clients.

- Play an active role in business development, upselling, and account expansion, contributing directly to revenue growth and repeat engagements.

- Present insights, strategic recommendations, and commercial implications to senior client stakeholders, including C-suite and regional decision-makers.

- Act as a trusted advisor and subject-matter expert during client meetings, workshops, and industry events in Singapore and the wider APAC region.

- Deliver high-impact insights, strategic frameworks, and actionable roadmaps tailored to banking, insurance, and wealth management organizations.

- Lead client workshops and training sessions to embed insights across marketing, CRM, digital, and product teams.

- Collaborate with project managers and cross-functional teams to ensure on-time, on-budget delivery of consulting engagements.

- Build and maintain strong, long-term client relationships, driving adoption of recommendations and measurable post-engagement outcomes.

- Contribute to the development and growth of the subscription-based insights and data offering for financial services brands in Singapore and APAC.

- Meet or exceed individual revenue and upsell targets, supporting sustainable account growth.

- Ensure high levels of client satisfaction, evidenced by strong post-engagement feedback and visible client action.

Requirements

• 8+ years’ experience in consulting, insights, analytics, or solution engineering within financial services.
• Strong consultative, storytelling, and presentation skills with senior stakeholders.
• Proven track record of meeting revenue, upsell, or utilisation targets.
• Experience leading client workshops and strategic sessions.
• Confident public speaker with international client exposure.
• Strong commercial mindset and ability to turn data into actionable recommendations.
• Collaborative and comfortable working with cross-functional teams.
• Willingness to travel across EMEA and APAC.

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 13,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 13,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Key Highlights:

• Office Hours: Mon – Thurs: 8.30– 6pm | Fri: 8.30 – 5.30pm
• Work Location: Ghim Moh
• Contract Duration: 8 months
• Salary: $2,200-$3,000
• Opportunity to support data transformation initiatives and exposure to change management and data platform implementation projects

Key Responsibilities:
Change Management & Project Coordination

• Review, monitor, and coordinate vendor deliverables for change management initiatives, ensuring alignment with organizational context, tone, and audience
• Track progress of deliverables and ensure timelines are met

Stakeholder Engagement & Communications

• Support planning and coordination of internal communications and engagement activities
• Review and refine messaging to ensure clarity and relevance for stakeholders

Training & Onboarding Support

• Coordinate training sessions and onboarding activities, including scheduling and attendance tracking
• Review and enhance training materials with vendors to ensure alignment with organizational needs
• Identify gaps in training approaches and propose practical improvements

Monitoring & Reporting

• Track change management activities, key milestones, and deliverables
• Identify potential risks and opportunities, and escalate when necessary

Administrative Support

• Provide administrative and logistical support for data platform and project-related activities

Key Requirements:
Functional / Technical Competencies

• Diploma or Degree in Business Administration, Communications, Public Administration, Social Sciences, or related fields
• Candidates from other disciplines with relevant experience are welcome to apply
• Familiarity with change management frameworks

Generic Competencies

• Strong writing, content review, and communication skills
• Proactive with good judgment in identifying gaps and proposing solutions
• Strong coordination and stakeholder management skills
• Able to manage multiple timelines and priorities effectively

Only shortlisted candidates will be notified.

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BGC Group Pte Ltd (Outsourcing)

EA 05C3053

Responsibilities:

• Building and maintaining comprehensive data analytics capabilities for the PathFin.ai Programme to generate actionable insights
• Developing analytics frameworks to track participant engagement, AI adoption trends, and Programme effectiveness metrics
• Creating interactive dashboards for Programme monitoring, stakeholder reporting, and strategic decision-making
• Identifying potential leads and opportunities for Programme expansion based on data analysis
• Generating automated reports on platform usage patterns, event attendance, and knowledge contribution rates
• Providing data-driven recommendations to support Programme growth, participant satisfaction, and operational efficiency

Requirements:

• 5 years of experience in data analytics or similar roles
• Experience with dashboards and reporting
• Build and manage data systems to track Programme performance
• Analyze data to find useful insights (e.g. user activity, trends)
• Create dashboards for reporting and decision-making
• Generate automated reports (usage, events, engagement)
• Identify growth opportunities using data

Skills needed:

• Data analysis (SQL, Excel, Python or similar)
• Dash board tools (Power BI, Tableau, etc.)

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
As an experienced technology professional, you will be responsible for:

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable Data Analytics and ML solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data Analytics and machine learning
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

Basic qualifications

• 7+ years of technical specialist, design and architecture experience
• 7+ years of external or internal customer facing, complex and large scale project management experience
• 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

Preferred qualifications

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
• Experience with automation and scripting (e.g., Terraform, Python)
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI.
• Ability to obtain Singapore government security clearance.

About the Team:

Shopee’s Data Infrastructure team builds the company’s stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc.

Job Description:

• Manage one of the Data Suite products, including but not limited to Data Map, Data Integration, Data Development, Data Management, Data Quality, Data Services, Data Metrics, Data Visualisation, etc.

• Responsible for requirements analysis, product design, product prototyping as well as product operation.

• Understand user needs and big data use cases, abstract complex requirements or scenarios into solutions, and implement them in the product to empower users.

• Develop and maintain user relationships and communication channels with users, synthesize product features from users’ requirements and feedback.

• Explore and continuously learn the best practices from the big data industry, and continuously plan the product blueprints in the long term.

Job Requirements:

• Bachelor’s Degree or higher in any field.

• At least 1 year of full time product management / technical product management experience.

• Prior experience with data-related products is preferred, as this role supports the Data Infrastructure team.

• Familiarity with the full data lifecycle, including management, development, and product application

• Excellent stakeholder management and cross-functional collaboration skills

• Strong logical thinking with a proactive, service-oriented mindset.

Job Description

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.

• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.

• Translate business data requirements into technical specifications and scalable solutions.

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.

• Design and implement secure, cloud-based data infrastructure and access mechanisms.

• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.

• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.

• Collaborate with data stewards to enforce data governance, quality, and security policies.

• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.

• Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices.

• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements

1. Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

2. 5–10 years of experience in data engineering, cloud infrastructure, or platform engineering, with strong foundation in data system design, data structures, algorithms, and data architecture modelling.

3. Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop), along with proficiency in Python and SQL.

4. Experience with orchestration and DevOps tools (Airflow, Azure Data Factory, Docker, Git, Terraform), CI/CD pipelines, and infrastructure-as-code practices; familiarity with Databricks, Snowflake, or Denodo and building batch/real-time data pipelines.

5. Strong understanding of data governance, security, and privacy (especially in public sector environments would be an added advantage), with excellent communication, stakeholder management, and mentoring capabilities.

This is a 1-year Contract position under People Advantage(Certis Group). We appreciate your application and regret only shortlisted candidates will be notified.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (www.certisgroup.com/privacy-policy).

EA Personnel Name: Siti Khatijah

EA Personnel No: R22111204

EA License No: 11C3955

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. 

In this role, you will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. You will lead large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales.

Qualifications

Job responsibilities

• Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property.
• Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls.
• Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management.
• Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI.
• Help onboard other engineers and foster a culture of engineering excellence across the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience with designing and operating large-scale distributed systems.
  

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in AI-driven large-scale data reasoning and inference processes.
• Experience in AI, specifically in agentic software engineering.
• Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship.
• Familiarity with cybersecurity solutions and related product landscapes.
• Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers.

About the company
A leading financial services group with a strong global presence is looking to expand its regulatory and governance capabilities in Singapore. The organization is recognized for its commitment to excellence and long-term stability in providing comprehensive risk management solutions.

About the job

This is a critical senior position within the compliance division focused on spearheading the organization's data governance strategy and ensuring alignment with regional regulatory standards.

• Lead the end-to-end development and implementation of the corporate data governance framework, including all associated policies and standards.

• Establish robust data lifecycle protocols and classification schemes to ensure information is managed securely and efficiently across the business.

• Design and execute monitoring mechanisms to evaluate data quality and integrity across various enterprise systems and databases.

• Drive data literacy initiatives across all business units to strengthen organizational understanding of data control and management obligations.

• Collaborate closely with the Data Protection Officer and key stakeholders to assess risk levels and monitor the effectiveness of governance controls.

Skills and experience required

• At least 6 of specialized experience in data governance or data management within the financial services sector.

• Proven track record in developing and maintaining data governance framework, policies, and procedures.

• Strong analytical and project management abilities with a focus on resolving complex governance issues.

• Exceptional stakeholder management skills with the ability to provide advisory support to diverse business units.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim. (EA: 94C3609/ R1435181 )

We are seeking a detail-oriented and analytical individual to support digital content operations and performance tracking. This role focuses on ensuring content accuracy, managing workflows, and generating insights to improve overall digital performance.

Key Responsibilities:

Content Management & Operations:

• Manage daily website content updates, uploads, and maintenance, including listings, metadata, and digital records
• Process content update requests from internal teams and external stakeholders efficiently
• Coordinate content approval workflows in line with established standards and compliance requirements
• Perform thorough quality assurance checks before content goes live
• Monitor published content to ensure accuracy, consistency, and relevance

Analytics & Reporting:

• Extract and compile performance data for regular reporting
• Support trend analysis to identify insights from datasets
• Assist in preparing reports on campaign performance and user engagement
• Collaborate with cross-functional teams to support funnel and performance analysis

Requirements:

• Basic data analytics skills with ability to interpret data and identify trends
• Proficiency in Excel or Google Sheets, including handling CSV files
• Strong written and verbal communication skills
• High attention to detail with a strong focus on data accuracy
• Ability to adapt quickly and learn new tools and systems
• Strong problem-solving skills to resolve content and data issues
• Experience with web analytics tools and performance tracking
• Knowledge of data extraction and automated reporting processes
• Understanding of digital marketing funnels and conversion metrics
• Familiarity with content management systems and website maintenance

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

We are seeking highly motivated and skilled Data Center/IDF/MDF Smart Hands Support Engineers (L1 & L2) to join our dynamic team. As a Smart Hands Engineer, candidates will be responsible for providing remote and on-site technical support for our critical data center infrastructure, including IDF/MDF rooms. Techs will perform a range of tasks, from basic troubleshooting and equipment handling to more complex issue resolution and project implementation.

This role requires a strong understanding of data center environments, excellent technical skills, and a commitment to delivering exceptional customer service. Willingness to travel locally within Singapore and internationally across APAC.

Responsibilities:

• L1 & L2 Support: Provide first and second-level technical support for data center infrastructure, including servers, network devices, storage systems, power infrastructure (UPS, PDUs), and environmental monitoring systems.

• Remote Hands Support: Execute remote instructions from senior network engineers, including server reboots, basic troubleshooting steps, and equipment configuration changes.

• On-Site Support: Perform on-site tasks such as equipment installation, racking and stacking, cabling, visual inspections, and component replacements.

• Troubleshooting & Diagnostics: Diagnose and resolve technical issues related to hardware, software, and network connectivity. Escalate complex issues to L3 engineers or vendors as needed.

• Monitoring & Alerting: Monitor data center infrastructure for performance and availability, responding to alerts and notifications in a timely manner.

• Documentation: Maintain accurate records of all work performed, including trouble tickets, incident reports, and equipment inventory.

• Preventative Maintenance: Participate in preventative maintenance activities to ensure optimal performance and reliability of data center equipment.

• Vendor Management: Work with vendors to resolve technical issues and coordinate equipment repairs and replacements.

• Project Support: Assist with data center projects, such as new equipment deployments, upgrades, and expansions.

• Adherence to Procedures: Follow established procedures and best practices for data center operations and safety.

• IDF/MDF Management: Maintain and support IDF/MDF rooms, including cable management, environmental monitoring, and equipment organization.

Requirements:

• Diploma/Degree in Electronics, Electrical Engineering, Computer Science, or a related field.

• L1: 0-2 years of experience in a data center or IT support environment. Freshers with relevant technical certifications are encouraged to apply.

L2: 2-5 years of experience in a data center or IT support environment with demonstrable L2 support capabilities.

Technical Skills:

• Solid understanding of data center infrastructure, including servers, network devices (routers, switches, firewalls), storage systems, power infrastructure, and environmental monitoring systems.

• Experience with operating systems (Windows Server, Linux) and virtualization technologies.

• Basic networking knowledge (TCP/IP, DNS, DHCP).

• Proficiency in using ticketing systems and documentation tools.

• Strong troubleshooting and problem-solving skills.

• Experience with cabling standards and best practices.

Familiarity with IDF/MDF room standards and best practices.

Additional requirement:

• Willingness to travel locally within Singapore and internationally across APAC.

Certifications (Preferred):

• CompTIA Server+, Network+, A+

• ITIL Foundation

• Data Center certifications (e.g., CDCP, CDCS)

Summary of the Job

• To accurately input, update, and maintain data in company systems and records, while ensuring materials and transactions are correctly matched to the respective production orders, supporting data integrity and operational efficiency.

Job Responsibilities:

1) Data Entry & Record Managemnt

• Enter data into systems (ERP, QC Apps)

• Perform data verification and cross- checking to minimise errors and discrepancies.

• Generate daily, weekly, and monthly QC data reports as required by the QC team.

2) Material & Production Order Verification

• Cross-check:
  - Production Order Number
  - Item/ Part Number
  - Quantity
  - Ensure no mismatch between materials and system records

3) Communicate with production, warehouse, and relevant departments to clarify missing or incorrect data

4) Generate daily handover report for QC to Warehouse and secondary process

5) Assist leader on job order closing, timesheet update using ERP

6) Other duties as and when assigned

Job Requirements:

• Secondary/ NTC in Engineering and above

• At least 1 year experience in Data entry/ documentation control

• Knowledge of MS Office

• Ability to communicate orally in English language and produce written documentation with clearly organized thoughts

• Self-motivated, highly resourceful, and organized

Responsibilities

• Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines.
• Migrate and optimize data workflows from Talend to Spark (PySpark/Scala).
• Collaborate with data architects to define scalable data lake/lakehouse solutions.
• Developer for data-warehousing, ETL and BI projects in Informatica IDMC and Databricks.
• Responsible for all technical development work and support the leads on technical design and systems impact analysis.
• Integrate Spark pipelines with cloud platforms (AWS, Azure, GCP).
• Work with orchestration tools (Airflow, Databricks Jobs, etc.) to schedule and monitor workflows.

Skills/Requirement

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent
• Minimum 6 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 4 project cycles.
• Solid understanding of data warehousing concepts and SQL.
• Familiarity with cloud services (AWS EMR, Azure Databricks, GCP DataProc).

Interested candidates, who wish to apply for the above position, please send in your resume to: ansari.abdulrahman@persolapac.com

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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Senior / Data Engineer

About the Role

We are looking for Senior / Data Engineers to design, build, and optimise scalable data platforms that support analytics and data-driven decision making across the organisation.

You will work closely with cross-functional teams including business stakeholders, analysts, and engineers to deliver robust data solutions and modernise data infrastructure.

Key Responsibilities

Data Architecture & Solution Design

• Collaborate with stakeholders to gather requirements and translate them into scalable data solutions
• Design data architectures aligned with enterprise data strategy and governance standards

Data Pipeline Design & Development

• Build and maintain end-to-end data pipelines across ingestion, transformation, and serving layers (e.g. raw, curated, and business-ready datasets)
• Develop batch and real-time data processing workflows
• Implement data quality checks, validation, and monitoring

Data Modelling

• Design and implement data models (star schema, Snowflake, wide tables)
• Apply Slowly Changing Dimension (SCD) techniques for historical data tracking

Platform Optimisation & Maintenance

• Monitor, troubleshoot, and optimise data pipelines for performance, scalability, and cost-efficiency
• Improve reliability and maintainability of existing data systems

Data Governance & Best Practices

• Ensure adherence to data governance, security, and compliance standards
• Contribute to best practices in data engineering, including metadata management and lineage tracking

Collaboration

• Partner with data analysts, data scientists, and engineering teams to deliver business-impacting data solutions
• Communicate technical concepts clearly to non-technical stakeholders

Requirements

Experience

• 5+ years of experience in data engineering or related roles
• Proven experience designing and implementing scalable data pipelines and platforms

Technical Skills

• Strong proficiency in Python and SQL
• Experience with data processing frameworks and APIs
• Solid understanding of data modelling techniques and SCD implementation

Data Platforms & Architecture

• Experience with modern data architectures (Data Lake, Data Warehouse, Lakehouse)
• Familiarity with distributed data processing and pipeline orchestration

Cloud & Tools

• Experience with cloud platforms (e.g. AWS, Azure, or GCP)
• Familiarity with tools such as Databricks, Airflow, or similar
• Exposure to infrastructure-as-code and DevOps practices is a plus

Other Skills

• Strong problem-solving and analytical thinking
• Ability to work in cross-functional teams and manage stakeholders effectively

Nice to Have

• Experience with real-time streaming pipelines
• Exposure to data governance frameworks and regulatory environments
• Experience supporting large-scale data platform modernisation

For more information you can contact Norean Tan at norean.tan@sanderson-ikas.sg

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

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086

Key Responsibilities

Design and maintain interactive dashboards and reports using Tableau or Power BI to monitor KPIs and support operational/business decision-making

Develop automated data pipelines in Python and SQL to extract, clean, and transform large, complex datasets from multiple sources

Partner with business, product, and tech stakeholders to gather requirements, define KPIs, and translate data into clear business recommendations

Perform root cause analysis on data mismatches and production reporting issues, ensuring accuracy, consistency, and reliability

Manage data assets in platforms like Databricks with Unity Catalog, enforcing governance, access control, and compliance

Lead A/B testing and experiment design to optimize campaigns, product features, and user engagement

Investigate market/operational data usage and entitlements to identify cost-saving opportunities and improve visibility

Liaise with external vendors like Bloomberg, Refinitiv to resolve data definitions, usage charges, and data-related queries

Document data processes, reporting logic, and validation rules to ensure operational clarity and continuity

Mentor junior analysts and promote best practices in data visualization, SQL, and Python Required

Skills & Qualifications

4+ years of experience in data analysis, BI, or data analytics roles

Expert proficiency in SQL: MySQL, PostgreSQL for complex queries and schema design

Strong Python skills with Pandas, NumPy for data manipulation and automation

Hands-on experience with Tableau, Power BI, and Advanced Excel

Proven experience building and maintaining data pipelines and automating reporting workflows

Solid background in data mining, transformation, and statistical analysis including A/B testing and hypothesis testing

Experience with cloud/data platforms: Databricks, GCP, AWS, or Informatica

Strong stakeholder management skills with ability to translate business needs into data solutions Experience supporting production reporting systems and resolving data integrity issues

Preferred Qualifications

Domain experience in financial services/market data, healthcare, or gaming

Experience with Unity Catalog, data governance, and vendor data management

POSITION GENERAL DUTIES AND TASKS :

We are seeking apassionate and skilled Data Scientist to design, develop, and deploy AI modelsthat power personalised customer engagement across digital and non-digitalchannels. This role is expected to work with various stakeholders to develop AIsolutions and transform multidimensional data—structured and unstructured—intoinsights and engagement ideas that enhance customer satisfaction and businessperformance.

•Collaborate with cross-functional teams to gather business requirements

•Perform feature engineering using customer, product, digital, and behaviouraldata

•Design and build scalable AI models

•Evaluate AI model performance using technical and business metrics

•Design end-to-end model pipeline and conduct various tests to ensurerobustness of solution

•Prepare model documentations and testing reports

We are looking for people who

•Bachelor’s or Master’s degree in Data Science, Computer Science,Statistics, or related fields.

•3–5 years of experience in a data science or analytics role.

•Strong command of Python (especially for text analytics and datamanipulation).

•Solid experience with SQL for querying large datasets.

•Familiar with machine learning libraries and GenAI.

•Ability to work with various types of data and derive meaningful insights.

•Strong communication skills and stakeholder management experience

.

Strong analytical, problem-solving, and stakeholder management skills.

Experience with SQL and data analysis/reporting tools.

Excellent communication, documentation, and facilitation skills.

Ability to work across cross-functional teams in a fast-paced environment.

POSITIONGENERAL DUTIES AND TASKS :
· Design, develop, and implement data storesolutions to support operational and business needs.
· Build and maintain robust ETL pipelines usingTalend and implement automated deployment
workflows for these ETL processes with CI/CD tools.· Develop, optimize, and tune Oracle PL/SQL queries,procedures, and packages to ensure high
performance and reliability.
· Ensure data quality, integrity, and securityacross all data platforms.
· Monitor, troubleshoot, and resolve data workflowand performance issues proactively.
· Translate business requirements into effectivetechnical solutions, ensuring alignment
throughout the project lifecycle.
· Prepare and maintain comprehensive documentationfor technical designs, data flows, and
operational procedures.
· Perform thorough testing to guarantee solutionreliability and data integrity.
· Collaborate with project managers, businessanalysts, and cross-functional teams to ensure
solutions meet business goals and stakeholder expectations.
· Support implementation activities and providepost-launch support to ensure smooth operations.
· Conduct system performance tests and implementimprovements as needed.
· Work closely with the delivery team to deliversystems according to specifications, tracking
assigned tasks to meet project schedules and quality standards.

Game changer, armed with data.

You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives
• Identify, understand and solve business problems based on the company's overall targets and design experiments to answer targeted questions
• Develop and automate reports for analytical purposes
• Support key decision makers to improve products and services

What we are looking for in a Data Scientist

Qualifications

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications

Experience

• Experience working with cloud services (e.g. Google Cloud Platform)
• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL

Skills

• Knowledge of Statistical model and/or machine learning modelling
• Proficiency in Python (must), SQL or other programming languages
• Strong problem-solving skills
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentations skills

What makes a (Super!) Data Scientist in Titansoft AKA the "great to haves"

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation

What everyone gets in Titansoft (psst. We didn't get that Great Place to Work in 2024 for nothing!)

• 18 days of rest and relaxation for each year (P.S. It gets even better over the years!)
• Competitive salaries and bonuses bench-marked against big players in the industry (Yeap, those companies!)
• Flexible working hours (Sleep in a little longer after fixing that pesky bug from last night)
• Comprehensive insurance coverage Wellness fund (Fexibilty to use it for medical, dental, EAP or even attraction parks!)
• Very well-stocked pantry (We've never heard of the term 'Hunger Games', nope)
• Communities of Practice and Workshops catered for your growth and learning
• Substantial subsidies and programs to keep that creative flow while having fun (Health promotion program, annual overseas company outing, an annual dinner that nobody will ever forget, etc.)
• Hardcore work and hardcore fun!

Working at Titansoft will probably be unlike any other careers you have ever had. Discover why you should join us!

We have been alerted that Titansoft's name has been misused in scam calls and emails. We only request personal or bank information after candidates complete our interview process and are formally invited to our office, and all official emails come from "@titansoft.com.sg". If in doubt, contact our hotline to verify and report any suspected scams to the police.

Job Summary:

We are seeking a Data Analyst to support product decision-making through experimentation, data analysis, and reporting. This role will work closely with product and cross-functional teams to drive data-informed improvements and optimize product performance.

Job Responsibilities:

A/B Testing & Experimentation

• Design, execute, and analyze A/B tests to evaluate BT product features and optimizations
• Partner with the BT Product Manager to define success metrics and measurement frameworks
• Document testing methodologies, learnings, and best practices

BAU Data Analysis & Reporting

• Analyze and report on core BT product metrics, including DAU/MAU and app downloads, etc.
• Build dashboards and reports to track product health and performance trends
• Provide regular data updates to support product planning and decision-making

Cross-Team Collaboration

• Support the broader EMTM team in scaling data-driven product iteration across publications
• Translate data into clear, actionable insights for non-technical stakeholders

Job Requirements:

• 1–2 years of experience in a data analyst or similar role
• Strong proficiency in SQL, with hands-on experience in Athena and BigQuery
• Solid understanding of A/B testing methodology and statistical analysis
• Experience with data visualization tools (e.g., Looker, Tableau, Google Data Studio)
• Strong communication skills and ability to present findings clearly
• A collaborative mindset and willingness to learn

Job Responsibilities:

• Assist in the preparation, validation and consolidation of HR data for reporting and analytics purposes, as well as in the audit and analysis of division’s performance data to identify gaps and improvement opportunities.
• Organise HR GSS datasets and conduct ad-hoc audit checks to ensure data integrity, consistency and compliance with established standards.
• Develop dashboards and trackers to monitor overall HR GSS’s SLA performance achievements and incident rates.
• Manage office administration such as coordination of team meetings, project tracking and documentations and tracking of Division’s IT assets and stationaries where applicable.
• Participate and support in ad-hoc new HR projects.

Job Requirements:

• 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.

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!

Interested candidates please submit your resume to jacechoo@recruitexpress.com.sg

Jace Choo Oi Kei

Personnel EA License No.: R1875164

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Key Responsibilities:

• Collaborate with business stakeholders to gather, analyze, and document requirements
• Translate business needs into functional specifications and support technical design discussions
• Work closely with data engineering and development teams for implementation
• Perform data analysis and validation using SQL queries
• Ensure alignment of deliverables with business objectives and timelines
• Participate in project lifecycle activities including requirement gathering, UAT, and deployment
• Drive problem-solving initiatives with minimal supervision

Required Skills & Qualifications:

• 8–12 years of experience in Business Analysis / Data Analysis within the data domain
• Strong communication and stakeholder management skills
• Proven ability to work independently and in team-oriented environments
• Experience in writing Functional Specifications and supporting Technical Design
• Hands-on experience with SQL (basic to intermediate level)
• Strong analytical and problem-solving mindset

Preferred Skills:

• Experience working with Data Warehouse / Data Lake environments
• Exposure to Finance Risk Modeling or financial domain projects