Rakuten Group serves over 100 million members in Japan and nearly 1 billion globally, offering more than 70 services across diverse domains such as e-commerce, fintech, telecommunications, media, and advertising.
The Analytics & Data Engineering Department (ADED) drives the group’s data and AI initiatives, delivering advanced data infrastructure and products that power Rakuten’s digital ecosystem.
Our team operates globally across Japan, Singapore, and India, providing scalable data solutions that enable data-driven decision-making and innovation.

The Data Lakehouse Section provides the foundation for Rakuten’s “Digital Twin” strategy — enabling seamless, real-time understanding of customers across services.
We manage one of the world’s largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units.
As a Staff Data Engineer, you will drive technical strategy and lead cross-functional initiatives to evolve our global data platform.

As a Staff Data Engineer, you will operate at a broader scope beyond individual projects, influencing system architecture, technical direction, and cross-team collaboration.
You will work closely with global stakeholders across Japan, Singapore, and India to drive large-scale data initiatives.

Key Responsibilities

Define and drive the technical vision and architecture for data platforms across multiple teams and regions.

Lead cross-team and cross-regional initiatives, ensuring alignment and scalability of data solutions.

Make high-impact architecture and design decisions for large-scale data systems.

Establish and enforce best practices and standards in data engineering, including reliability, scalability, and observability.

Collaborate with engineering leaders, product managers, and stakeholders to shape data strategy and roadmap.

Mentor senior engineers and act as a technical leader and role model across the organization.

Drive improvements in data governance, security, and platform reliability at an organizational level.

Contribute to critical implementations when needed, while maintaining a focus on system-level impact.

Mandatory Qualifications

8+ years of experience building and scaling big data platforms in production environments.

Strong experience in system architecture design for large-scale distributed data systems.

Proven track record of leading cross-team or cross-regional technical initiatives.

Expertise in Python and modern data engineering ecosystems (e.g., PySpark, Pandas).

Deep hands-on experience with Google Cloud Platform (GCP) (BigQuery, Dataflow, Pub/Sub, etc.).

Strong understanding of data modeling, distributed systems, and performance optimization.

Experience with cloud-native architectures, CI/CD, and Infrastructure-as-Code.

Excellent communication and stakeholder management skills, with the ability to influence decisions across teams.

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Responsibilities

• Design, build, and maintain large-scale data pipelines for processing high-volume data
• Develop and optimize data workflows using distributed data processing frameworks
• Work with structured and unstructured data from multiple sources
• Write efficient and optimized SQL queries for data transformation and analysis
• Ensure data quality, reliability, and performance across pipelines
• Troubleshoot and resolve data-related issues and performance bottlenecks
• Collaborate with cross-functional teams including analytics and business stakeholders

Skills & Experience

• 5–10 years of experience in Data Engineering or Big Data roles
• Strong experience with Apache Spark (PySpark preferred)
• Strong SQL skills (data transformation, query optimization, large datasets)
• Experience with Python for data processing
• Experience building ETL/data pipelines
• Exposure to cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Experience working with large-scale or distributed data environments

Ikas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd

EA Licence No: 16S8086 | EA Registration No. R1988468

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

Job Summary:

Privacy Ninja is the trusted DPO-as-a-Service partner, serving over 500 organisations across all sectors. We are seeking a highly skilled and knowledgeable Data Protection Officer (DPO) to join our diverse DPO-as-a-Service team. The ideal candidate will be responsible for providing our clients expert advice and guidance on data protection practices, assisting them with the development of their Data Protection Management Programme (DPMP), and ensuring compliance with the Personal Data Protection Act (PDPA). This role is primarily remote with occasional onsite client meetings, and requires someone who thrives in a virtual work environment—proactive, communicative, and comfortable building rapport both online and in person.

At Privacy Ninja, we look for DPOs who embody the Privacy Ninja C.A.R.E. framework – Character, Adaptability, Relational Communication, and Expertise.

This means individuals with strong work ethic, who are approachable, not afraid to admit mistakes, and committed to continuous learning and self-improvement (Character); who are not resistant to adopting new technologies, tools, AI, and automations (Adaptability); capable of clear, empathetic communication with clients and teams (Relational Communication); and who bring deep professional knowledge in PDPA, data protection, and cybersecurity (Expertise). These four pillars define the kind of professionals who thrive in our fast-paced, high-trust environment.

1. Key Responsibilities:

Client Advisory Services

• Provide expert consultation to clients on all aspects of data protection and PDPA compliance, including relevant incident handling advisory.

• Guide, review, and comment on documentation while providing detailed advisory as needed.

• Address client inquiries and provide solutions to complex data protection issues.

• Stay informed of changes in Singapore data protection laws to offer timely and accurate advice.

• Offer live advisory promptly through client WhatsApp group chats or email communications (or RobotDPO™ advisory chat module when available), within reasonable response time expectations aligned with internal guidelines.

• Enable clients to book calendar slots for guidance or clarification sessions, ensuring timely and structured support.

Data Protection Management

• Assist clients in developing and implementing a comprehensive Data Protection Management Programme (DPMP), based on our DPO-as-a-Service SOPs and deliverables. 

• Conduct questionnaire-based and virtual/onsite audits and assessments to ensure compliance with PDPA and other relevant data protection laws, using our DPO-as-a-Service checklist documents and/or software. 

• Collaborate with clients to create and maintain a robust framework for data protection, based on our DPO-as-a-Service deliverables and framework. 

Compliance and Reporting

• Monitor ongoing compliance with PDPA requirements within client organizations, based on our DPO-as-a-Service checklist and deliverables. 

• Prepare reports and documentation for both internal and external use, detailing compliance measures and any data breaches, based on our DPO-as-a-Service document templates. 

• Recommend corrective actions and enhancements to address compliance gaps and improve data protection practices.

Collaboration and Training

• Work closely with our Client Success Managers to ensure a cohesive approach to client management and service delivery.

• Contribute knowledge and best practices to Client Success Managers and other team members as opportunities arise, supporting a collaborative working environment without it being a core duty.

• Conduct basic PDPA awareness explainer and review sessions for clients, regarding their implemented policies and practices, when within scope or as specifically agreed upon as part of the engagement.  

Adaptability to Technology and Innovation

• Demonstrate a willingness to be trained on new technologies and systems to enhance work efficiency and service delivery

• Leverage automation tools and internal AI-driven solutions to streamline processes and improve client outcomes

• Embrace the use of digital tools to record and manage findings efficiently, reducing reliance on manual paperwork

• Proactively propose ideas and suggestions to improve company policies and practices, both internally and in client servicing

Client Retention and Relationship Building

• Support client retention by actively engaging in meaningful interactions that reinforce trust and demonstrate value throughout the engagement.

• Collaborate closely with Client Success Managers to ensure continuity in service delivery and responsiveness to client needs.

• Take initiative in identifying red flags or client dissatisfaction early, escalating to relevant stakeholders when necessary to support renewal efforts.

• Cultivate rapport with client Data Protection Coordinators (DPCs) and decision makers during audits or advisory sessions, reinforcing Privacy Ninja’s role as a trusted partner.

Evolving Responsibilities and Continuous Growth

• Remain adaptable to additional responsibilities that align with the company’s evolving services, including but not limited to expanded compliance consulting and certifications

• Stay open to learning and contributing to new initiatives that enhance the company’s data protection and cybersecurity offerings.

• Assist in projects or services that support business growth, ensuring alignment with the company’s mission and expertise.

• Take on standalone project-based consultancies for data protection and cybersecurity projects, where and when assigned and within capabilities; additional incentives apply. 

2. Required Skills and Qualifications:

• Proven experience as a Data Protection Officer or in a similar role, with a strong understanding of PDPA and other relevant legislations, with typically 2 years of relevant hands-on experience working as either a Data Protection Officer in a past organization, or as a Data Protection Consultant

• Excellent analytical and problem-solving skills, with the ability to handle complex information

• Strong communication and interpersonal skills, capable of explaining complex data protection principles in an understandable manner

• Demonstrated ability to work effectively in a remote team environment and with cross-functional groups, showing initiative and accountability, with the ability to work independently when required

• Professional certification in data protection or privacy law (e.g., CIPP, CIPM, CIPT) is highly desirable, and cybersecurity (e.g., CISSP) 

• Familiarity with AI tools such as ChatGPT preferred, with a proven track record of quickly learning and integrating new technologies into work processes

3. Personal Attributes:

• Proactive and responsive – takes ownership of follow-through and communication, even when working remotely.

• Comfortable interacting in both virtual and in person client settings.

• Flexible and adaptable to varying client needs and internal workflows.

• Team player who shares knowledge openly and constructively with a geographically dispersed team.

• Approachable and easy to work with, open to feedback, and collaborative in nature.

• Naturally curious and eager to keep learning in a fast-evolving data protection landscape.

4. This Role May Not Be The Right Fit If –

• You have no prior, hands-on experience serving as a Data Protection Officer or supporting PDPA compliance work.

• You prefer a traditional office environment and find remote work challenging.

• You are not comfortable communicating consistently and clearly through chat, email, or video calls as part of a remote work setup.

• You prefer close supervision or frequent direction to stay on task.

• You’re uncomfortable managing multiple clients or adapting to different industries.

• You prefer to wait for clear instructions before taking action, rather than working proactively.

• You find it difficult to stay responsive, self-motivated, or accountable in a fully remote setup.

Why join us?

• The convenience of mostly Work From Home (WFH), with the exception of onsite audits and ad hoc client meetings

• Competitive salary

• 13th month bonus

• KPI-based annual performance bonus

• Annual paid leave – starts at 7 days annually, +1 day for each year with us, capped at 20 days

• If you’re naturally curious, enjoy sharing your expertise to help others, and love engaging with new people, this role offers the chance to explore how different organisations operate and broaden your exposure through real client interactions

Is this for you? Please send your latest CV along with any relevant professional certifications (e.g., Practitioner Certificate in Personal Data Protection Course) to hr@privacy.com.sg .

About the Role

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

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

Job Scope

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

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

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

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

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

Requirements

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

• Knowledge of Microsoft Excel and data analysis concepts.

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

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

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

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

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

Responsibilities:

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

Qualifications:

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

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

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

Work location: Central
Working hours: Monday to Friday office hours
Salary: up to $2650 per month

6 months contract (extendable to 12 months)

Job Scope:

• Support changes in the Chart of Accounts (COA) in the central system, including data verification, system testing, and process documentation
• Assist with system continuous improvement
• Assist with the maintenance of master data in the central system
• Organise and update user guides and Standard Operating Procedures

Requirements:

• Degree in Accountancy, Business, Finance, IT, Systems, or related disciplines
• 1-2 years of relevant working experience, familiar with finance processes
• Keen interest in Ops Tech roles
• Good critical thinking, problem-solving, analytical skills
• Time management skills
• Good communication and presentation skills

Interested applicants may apply or email your CV to nadirah.hirwandy@tg-hr.com

SINGAPOREANS ONLY

POSITION GENERAL DUTIES AND TASKS :

- Up to 4 years of IT experience

- Proven analytical abilities with solid experience in a Production Support setting.

- Strong SQL and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills

- Familiarity with Teradata or Hadoop.

- Familiarity with any job scheduling tool.


Roles/Responsibilities

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Provide operational support and ensure SLI of Applications

- Proactively Identify and Identify opportunities for preventive Maintenance

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Participate in Disaster Recovery and Business Continuity exercise

Experience Level as below

Entry 3 - 4 years.

POSITION OVERVIEW : Senior Data Engineer

POSITION GENERAL DUTIES AND TASKS :
As a Senior Data Engineer, you areresponsible for designing, developing, and implementing
scalable data store solutions that support both operational and strategicbusiness needs. The role demands strong technical expertise, a proactivemindset, and a commitment to continuousimprovement, compliance, and innovationin data engineering practices.
· 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.
· Take ownership of assigned deliverables,proactively identify areas for improvement, and
implement solutions. Demonstrate initiative in addressing issues, optimizingprocesses, and
proposing innovations to enhance data engineering practices.
· Takes accountability in considering business andregulatory compliance risks and takes
appropriate steps to mitigate the risks.
· Maintains awareness of industry trends onregulatory compliance, emerging threats and
technologies in order to understand the risk and better safeguard the company.
· Highlights any potential concerns /risks andproactively shares best risk management practices.

We are looking for people who
· Minimum 7 years of hands-on experience in TalendETL development.
· At least 5 years of end-to-end experiencedesigning, building, and implementing data store/data
marts/data warehouses.
· Strong proficiency in Oracle PL/SQL development,including performance tuning and
optimization.
· Strong knowledge of key Oracle performancefeatures such as query optimizer, execution plans,
and indexes.
· Experience working with Oracle Autonomous Database(ADB) is preferred.
· Solid understanding of data modelling, datagovernance, and data integration best practices.
· Excellent technical skills in ETL tools forintegration with Oracle and other RDBMS databases.
· Good technical skills in UNIX shell scripting andscheduling.
· Have experience working in Agile environments withdistributed, cross-functional teams.
· Ability to evaluate, understand, and implementdetailed business, functional, and non-functional
technical requirements.
· Experience in the financial services industry isan advantage.
· Excellent problem-solving skills, attention todetail, and the ability to approach challenges from
multiple perspectives.
· Strong communication and collaboration abilities.
· Independent team member capable of making soundjudgment calls in fast-changing or
ambiguous environments.
· High level of integrity, takes accountability ofwork and good attitude over teamwork.
· Takes initiative to improve current state ofthings and adaptable to embrace new changes.

• Analyzes complex datasets to generate meaningful and actionable insights.
• Extracts, cleans, and transforms large datasets from multiple internal and external sources.
• Applies statistical analysis and data modeling techniques to identify trends, patterns, and improvement opportunities.
• Translates analytical findings into actionable recommendations to enhance business strategy and performance.
• Develops and manages Digital Control Tower dashboards, reports, and data solutions.
• Designs and builds interactive dashboards and visualizations using tools such as Tableau or Power BI.
• Creates and maintains automated reports to track and monitor key performance indicators (KPIs).
• Ensures data accuracy, consistency, and accessibility across all reporting and analytics systems.
• Collaborates closely with business stakeholders to gather requirements and define data‑driven solutions.
• Communicates insights effectively to both technical and non‑technical audiences.
• Mentors junior analysts and provides guidance on analytics best practices.
• Leads or contributes to cross‑functional analytics initiatives and projects.

Requirements:

• Holds a Degree in Data Analytics, Business Intelligence, or an equivalent qualification.
• Minimum 3–5 years of experience in data analysis or business intelligence.
• Strong proficiency in SQL and Python or R for data analysis and automation.
• Experience with data visualization tools such as Tableau or Power BI.
• Solid understanding of statistical analysis and analytical techniques.
• Experience in data cleaning, transformation, and ETL processes.
• Familiarity with databases and data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Ability to work with complex datasets and generate actionable insights.
• Strong business acumen with the ability to translate data into practical business recommendations.
• Good communication and stakeholder management skills.
• Strong problem‑solving and critical thinking abilities.

Location: 
Pioneer Yard 

50 Gul Road, Singapore 629351 

(Islandwide transport provided) 

Working Hours: 
Monday – Thursday: 8:00am – 5.15pm 

Friday: 8:00am – 4.30pm 

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.  

We regret that only shortlisted candidates will be notified.  

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012. 

About the Company

Headquartered in Singapore, join a high-growth global tech firm scaling at pace. A fast-moving environment yet stable environment where you will drive innovation across our international data footprint.

About the Role

You will own the design and optimization of our global data ecosystem, ensuring high-performance pipelines and robust governance.

• Architect scalable ETL/ELT pipelines using the full AWS Stack (Glue, Redshift, Lambda).

• Drive CI/CD automation, CDC, and performance partitioning for high-speed data delivery.

• Manage regional data lakes (S3) and build complex dimensional models.

• Ensure elite data quality and strict GDPR/PDPA compliance.

Skills & Experience Required

• Minimum 3 years in Data Engineering.

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin.

• Expert in Python and SQL, hands-on with AWS (Glue, Redshift, S3, Athena, EMR).

• Databases: Skilled in Relational (PostgreSQL) and NoSQL (DynamoDB/MongoDB).
  

  To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002 )

This role reports to the Distribution Compensation Operations Lead and supports distribution channels across the end‑to‑end compensation process, ensuring that compensation reports and payouts are accurate, timely, and compliant with internal controls and regulatory requirements. The role will also support ongoing change initiatives as the organization continues its digital transformation journey, where strong interest in business processes and data analytics is essential.

Job Description

• Review and validate various distribution and compensation reports, such as production tracking and performance reports.
• Manage end‑to‑end validation activities to ensure outputs are aligned with defined business rules, delivered accurately and within agreed timelines.
• Understand and translate business requirements and requests into meaningful data analysis and visualizations.
• Analyze data to identify trends, patterns, and insights to support business and operational decision‑making.
• Contribute analytical insights into business processes by collaborating with cross‑functional stakeholders.
• Propose solutions and support the development or enhancement of processing models, presenting clear and explainable outcomes that support operational execution and compensation strategies.
• Troubleshoot data or process issues and implement interim solutions to ensure business continuity.

Who We Are Looking For

• Strong business acumen with the ability to balance business objectives, process efficiency, and risk management.
• Hands‑on experience with data analytics tools such as Python, Power BI, SQL, Alteryx, Anaplan, or similar technologies.
• Comfortable working in a fast‑paced environment with tight timelines.
• Able to manage ambiguity, priorities tasks effectively, and handle multiple workstreams.
• Enjoys collaborating with stakeholders from diverse backgrounds and functions.
• Strong problem‑solving skills with the confidence to make sound judgement calls when required.
• Demonstrates effective communication and interpersonal skills, with the ability to listen, engage, and build consensus while adhering to sound data governance and management principles.

Working Experience

• Minimum 2 years of experience in data analytics, business analysis, or finance operations.
• Familiarity with databases, cloud environments, and FP&A or finance‑related tools.

Education

• Degree / Diploma in Finance, Statistics, Mathematics, Economics, or a related discipline.

Interested applicants please send your resume in MS Words format toprasant.sirohi@ambition.com.sg and attention to Prasant Sirohi (R22106307)

Shortlisted candidates will be notified

www.ambition.com.sg

EA Registration Number: R22106307

Data provided is for recruitment purposes only

Business Registration Number: 200611680D. License Number: 10C5117

Job Description

• Industry/ Organization Type: ICT Services Provider (Data Centre)
• Position Title: General Manager
• Working Location: North-East Region
• Working Hours: 5 Days, Monday – Friday (9am – 6pm)
• Salary Package: Basic Salary + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Oversee daily data centre operations to ensure continuous uptime, reliability, and service availability.
• Develop, implement, and enforce operational policies, procedures, and best practices.
• Lead incident management processes, including troubleshooting, root cause analysis, and corrective actions.
• Manage and monitor critical systems such as UPS, generators, cooling systems, BMS, etc.
• Plan and coordinate preventive maintenance, shutdowns, and infrastructure upgrade activities.
• Manage vendors and contractors, ensuring performance meets agreed service level agreements (SLAs)
• Oversee contract management, including renewals, negotiations, and compliance with procurement policies.
• Evaluate vendor performance regularly and recommend improvements or alternative solutions.
• Maintain strong relationships with external partners to ensure seamless support and service delivery.
• Supervise preventive and corrective maintenance of electrical, mechanical, and IT infrastructure.
• Ensure full compliance with safety, environmental, and regulatory requirements.
• Monitor facility capacity and resource utilization and plan for future expansion needs.
• Drive initiatives to improve energy efficiency and optimize operational costs.
• Lead, mentor, and develop a team of data centre engineers and technicians.
• Plan and manage staffing schedules to ensure smooth 24/7 operational coverage,
• Conduct audits and risk assessments to maintain compliance.
• Act as the main point of contact for stakeholders, providing regular updates, reports, and coordination with internal teams.

APPLY NOW!!!

• Bachelor’s degree in Engineering, Information Technology, or a related discipline.
• At least 8 years of experience in data centre operations, including a minimum of 5 years in a leadership role.
• Strong knowledge of data centre infrastructure management, including electrical, mechanical, and IT systems.
• Experience in data centre design, implementation, and operations management.
• Familiar with servers, racks, cooling systems, power systems, and storage infrastructure.
• Knowledge of industry standards such as ISO 27001 and related compliance requirements.
• Proven leadership and people management skills to effectively lead teams in a high-availability environment.
• Excellent communication and stakeholder management abilities.
• Capable with budgeting, forecasting, and operational planning.
• Ability to develop and implement processes to enhance efficiency, reliability, and performance.

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 #84120 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 | Rachael Lee | EA Reg No.: R2093131

Role Overview

The Senior Network Engineer is responsible for delivering enterprise and data center network solutions for NTT DATA clients. The role focuses on post-sales project delivery, working closely with project managers, solution architects, and customers to ensure successful implementation of complex network environments.

Key Responsibilities

Responsibilities:

• Deliver technical solutions to clients and take responsibility for the standards of work, project sign off and client satisfaction.
• Provide client support, assisting with troubleshooting and design, configuration and escalated problem management.
• Act as key project team members charged with the analysis of client and technical requirements, specifications development, solution design and development, and in some environments may consult on testing and deployment processes.
• Expected to be technology leads for specific technologies and to use their deep knowledge of these technologies to propose enhancements.

Education:

• Degree in Computer Engineering, Computer Science, Information Technology or related field
• CCIE, CCNP, CCNA F5, or other relevant

Requirements:

• At least 5 – 10 years' professional technical experience related to software development, systems design and deployment, or networking and infrastructure within a large scale (preferably multi- national) technology services environment
• Experience in designing and building complex LAN and large WAN
• Expertise in routing/switching technology, including BGP, OSPF, etc.
• Expertise in designing and building complex data center network with Software Defined Networking (SDN) solutions such as Cisco Catalyst Center, Cisco ACI, EVPN or any OpenFlow protocol.
• Experience in designing and building complex WAN with Software Defined WAN solutions such as Viptela, SilverPeak and Riverbed.
• Experience in designing and building complex campus network with Software Defined Access (SDA) solutions from Cisco or any other SDA vendors.
• Experience in network automation via scripting (e.g. Python, Ruby) or tools (e.g. Ansible, Algosec, Chef)
• Experience in designing and building network security (Checkpoint, Palo Alto, Fortigate, Cisco firewall, IDS/IPS, VPN, SSL, Cisco ISE).
• Experience in designing and building complex LAN and large WAN in F5 Context, LTM and GTM
• Experience in project management methodologies
• Singaporean/PR preferred

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements
- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

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 outin 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• Reg No: R1770602 (Teng Min Yee)

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.