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.

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.

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

• 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. 

We are currently looking for a Trades or Technical individual to join us in the role of Data Centre Technician working within our facilities team operating on a 24/7 basis.

Within this entry-level role, we will provide full on-the-job training to bring you up to speed on all aspects of data center facility management and critical infrastructure, including Cooling, Electrical, Cabling Infrastructure, Building Monitoring, and Fire systems.

Based in Tullamarine, the purpose of this role is to support the Facility Management team with the day-to-day operations of the data centre, by providing high quality & efficient technical maintenance and customer service.

• The successful candidate will be required to work a 4 – 5 – 5 rotating shift roster with day shifts from 7am - 7pm and night shifts from 7pm - 7am.

Key Responsibilities include:

• Delivery of cabling needs, electrical and data, to customer racks and areas
• Attend to Remote Hands requests
• Assist with vendor management for maintenance of all core electrical and mechanical systems
• Ensure that facility problems are identified and resolved in a timely manner
• Monitor building management / monitoring systems 24/7, and quickly and effectively escalate issues internally or to vendors as relevant
• Ensure all visitors and contractors adhere to NEXTDC facility rules.
• Manual handling

This role is not focused on IT but leans more towards a hands-on facility management position, involving practical tasks and operational responsibilities

From time to time, during shifts there may be travel between sites as required.

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 )