As a Data Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Consultant, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Primary responsibilities include working with IBM Consulting clients on implementing, configuring and extending the Modern Data Accelerator assets.
• Responsible for providing feedback to the Development Team on MDA extensions. This includes analysis, design testing, and feedback activities.
• Assists in MDA Demos and training activities

Required Professional and Technical Expertise :

• Knowledge of Data Architecture and Data Products
• NodeJS User Interface Experience
• Python Development Experience
• GenAI Development Experience

Preferred Professional and Technical Expertise :

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non-technical audiences

As a Data Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Consultant, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Primary responsibilities include working with IBM Consulting clients on implementing, configuring and extending the Modern Data Accelerator assets.
• Responsible for providing feedback to the Development Team on MDA extensions. This includes analysis, design testing, and feedback activities.
• Assists in MDA Demos and training activities

Required Professional and Technical Expertise :

• Knowledge of Data Architecture and Data Products
• NodeJS User Interface Experience
• Python Development Experience
• GenAI Development Experience

Preferred Professional and Technical Expertise :

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non-technical audiences

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Job Summary:

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set:

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set:

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities:

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

Responsibilities:

· Lead and manage the project team, ensuring alignment with client goals, schedules, and deliverables.

· Develop, update, and monitor the overall project schedule, addressing delays and ensuring milestones are met.

· Oversee the project budget, manage costs, and track expenditures to ensure financial targets are met.

· Act as the main point of contact for clients and stakeholders, providing regular project updates and managing expectations.

· Ensure construction work meets the highest standards, adhering to quality, safety, and regulatory requirements.

· Identify potential project risks and develop mitigation strategies to address them proactively.

· Enforce strict safety protocols and ensure compliance with all safety and environmental standards.

· Oversee contracts and subcontractors, ensuring compliance with terms and timely delivery of project components.

· Mentor junior engineers and team members, fostering a culture of collaboration, continuous improvement, and high performance.

· Ensure successful project completion, including commissioning, testing, and final handover to the client with all required documentation.

Requirements:

· Bachelor's degree in Civil Engineering, Construction Management, or a related field; professional certifications (e.g., PMP) preferred.

· Minimum 5-10 years of project management experience, preferably in large-scale construction projects, with data centre experience a plus.

· Strong understanding of construction processes, systems (HVAC, power, IT infrastructure), and engineering principles.

· Excellent leadership, team management, and communication abilities to work with diverse teams and stakeholders.

· Strong decision-making skills, with the ability to resolve issues and adapt plans under pressure.

Queenie Chua

R24125459

Responsibilities:

· Develop and implement a detailed commissioning plan, outlining all activities, timelines, resources, and testing procedures required for the data center systems (MEP, IT, fire protection, etc.).

· Lead and coordinate commissioning teams, including subcontractors and suppliers, ensuring all systems are tested, verified, and fully functional according to design specifications.

· Oversee the testing, inspection, and verification of all critical systems, including HVAC, electrical, IT infrastructure, power distribution, and other building systems, ensuring they meet performance criteria.

· Identify any system deficiencies or operational issues during commissioning and work with relevant teams to resolve them promptly, ensuring systems meet the required standards.

· Maintain detailed commissioning documentation, including test reports, issue logs, and progress reports, ensuring accurate records of all activities for client handover.

· Work closely with the design and construction teams to ensure that commissioning requirements are incorporated into the final design and installation phases, addressing any discrepancies or modifications required.

· Act as the main point of contact for the client during the commissioning phase, providing regular updates on testing progress, system performance, and any issues. Oversee the final handover process to ensure all systems are fully functional.

· Ensure all commissioning activities comply with local regulations, industry standards, and client specifications, and that systems meet all safety and operational requirements.

· Identify potential risks or delays in the commissioning process and implement corrective actions to mitigate these risks, ensuring the project stays on track for timely completion.

· Provide training to the client’s operations team, ensuring they understand how to operate and maintain the data centre’s systems after handover.

Requirements:

· Bachelor's degree in Mechanical, Electrical, or Civil Engineering, or a related field. Professional certifications related to commissioning (e.g., CxA, LEED, or equivalent) are an advantage.

· Minimum of 5-10 years of experience in commissioning, with a strong background in large-scale projects such as data centers, commercial buildings, or industrial facilities.

· Strong knowledge of commissioning processes, including system testing, validation, and troubleshooting for MEP, IT, and building management systems (BMS).

· Proven leadership abilities to manage commissioning teams, coordinate with contractors, and effectively communicate with stakeholders. Ability to clearly report on system status, risks, and issues.

· Strong problem-solving skills, with the ability to quickly address issues that arise during commissioning and take corrective action to ensure systems meet operational requirements.

Queenie Chua

R24125459

Responsibilities:

· Oversee the planning, design, and execution of all Mechanical, Electrical, and Plumbing (MEP) systems for the data centre construction project, ensuring they meet technical and regulatory requirements.

· Lead and coordinate MEP engineers, subcontractors, and vendors to ensure seamless integration of MEP systems into the overall construction schedule.

· Review and approve MEP designs, ensuring they are aligned with project specifications, client requirements, and best practices.

· Provide technical support to the project team, assisting with complex MEP-related issues and resolving design or construction challenges.

· Ensure MEP installations meet the highest quality standards, including compliance with local regulations and international best practices.

· Oversee the procurement of MEP materials and equipment, and manage subcontractors to ensure timely delivery and quality of work.

· Manage the MEP portion of the project budget, track costs, and implement cost-saving measures without compromising quality or safety.

· Enforce strict adherence to health, safety, and environmental (HSE) standards within all MEP works on-site.

· Track the progress of MEP works, preparing regular reports on milestones, issues, and performance to the Project Manager and stakeholders.

· Oversee the commissioning of MEP systems, ensuring all systems are properly tested and integrated before the final handover to the client.

Requirements:

· Bachelor’s degree in Mechanical or Electrical Engineering, or a related field. Professional certifications (e.g., PMP, CEM, LEED) are a plus.

· Minimum of 5-10 years of experience in MEP management, with a strong background in data centre construction or other large-scale projects.

· In-depth knowledge of MEP systems (HVAC, electrical, plumbing, fire protection), as well as design and installation processes.

· Strong leadership abilities with the capability to manage teams, coordinate with stakeholders, and communicate complex technical information clearly.

· Proven ability to identify and resolve technical issues, implement effective solutions, and make decisions under pressure to keep the project on track.

Queenie Chua

R24125459

Responsibilities:

· Lead the overall design process for the data centre, ensuring all architectural, structural, and MEP (Mechanical, Electrical, and Plumbing) elements are integrated into a cohesive design that meets the client’s requirements and project goals.

· Manage and guide the in-house design team, external consultants, and subcontractors, ensuring that designs are delivered on time, within budget, and to the required quality standards.

· Oversee the review and approval of all design deliverables, including drawings, specifications, and technical documents, ensuring compliance with local regulations, international standards, and project specifications.

· Act as the primary point of contact between the client and the design team, addressing client concerns, providing regular updates, and ensuring client satisfaction with design solutions.

· Identify design risks early in the process, working with relevant stakeholders to mitigate risks and resolve design-related issues in a timely manner.

· Drive innovation in the design process by recommending value engineering solutions, cost-effective design alternatives, and methods to optimize the functionality and efficiency of the data centre.

· Ensure the design complies with all relevant building codes, safety standards, and environmental regulations, as well as the requirements of regulatory bodies and local authorities.

· Develop and manage the design phase of the project schedule, ensuring that key milestones are achieved and that the project progresses on time.

· Work with the project team to establish and manage design-related costs, ensuring that the design process remains within budget and that resources are allocated effectively.

· Maintain accurate design documentation, ensuring that all changes, approvals, and communications are properly documented. Provide regular design progress reports to the Project Manager and stakeholders.

Requirements:

· Bachelor’s degree in Architecture, Civil Engineering, or a related field. A Master's degree or professional certifications (e.g., PMP, LEED, etc.) would be an advantage.

· Minimum 5-10 years of experience in design management within the construction industry, with a focus on large-scale, complex projects like data centres or commercial buildings.

· Strong understanding of design principles, architectural and engineering systems, and familiarity with data centre design requirements, including specialized systems like HVAC, electrical, and IT infrastructure.

· Proven leadership and team management capabilities, with the ability to coordinate and motivate cross-disciplinary teams. Excellent communication and interpersonal skills to liaise effectively with clients, stakeholders, and contractors.

· Strong ability to identify potential design issues early and implement effective solutions. Proficient in making decisions under pressure while maintaining project quality and client satisfaction.

Queenie Chua

R24125459

Responsibilities:

· Review and approve the structural design, ensuring compliance with project specifications, regulatory requirements, and best practices for data centre construction.

· Manage and lead a team of structural engineers and designers, providing technical guidance and ensuring efficient project execution.

· Collaborate closely with the architectural, MEP, and construction teams to ensure structural elements are integrated seamlessly with the overall building design.

· Supervise on-site structural work to ensure it adheres to design specifications, quality standards, and safety regulations.

· Ensure all structural work is completed according to the highest quality standards, conducting inspections and overseeing testing processes for structural components.

· Oversee the review and approval of structural calculations, ensuring that load-bearing and stability requirements are met for the data centre’s unique design and operational needs.

· Monitor and manage the structural work schedule, ensuring key milestones are met on time and within budget. Address any potential delays or cost overruns.

· Identify and mitigate risks related to structural design, construction methods, and materials. Resolve any technical challenges that arise on-site promptly and effectively.

· Ensure that all structural work complies with local building codes, safety standards, and environmental regulations. Work with authorities to secure necessary permits and approvals.

· Ensure that all structural work is completed to specification and provide the necessary documentation for final handover to the client, including as-built drawings, structural certifications, and testing reports.

Requirements:

· Bachelor’s degree in Civil or Structural Engineering, or a related field. A Master's degree or professional certifications (e.g., Chartered Engineer status) is an advantage.

· Minimum 5-10 years of experience in structural management within the construction industry, with a strong focus on large-scale, complex projects such as data centres, commercial buildings, or industrial facilities.

· Strong knowledge of structural design principles, materials, and construction techniques, with experience in data centre and other specialized construction projects.

· Proven leadership skills with the ability to lead and motivate a team of engineers, work cross-functionally with other teams, and communicate effectively with clients, contractors, and stakeholders.

· Strong analytical and problem-solving abilities, with experience in making critical decisions related to structural design, materials, and site challenges to maintain project timelines and quality.

Queenie Chua

R24125459

Responsibilities:

· Manage and oversee all CSA construction activities, ensuring that civil, structural, and architectural works are completed according to the project’s design specifications, quality standards, and safety requirements.

· Supervise daily site operations to ensure CSA works are progressing as per the construction schedule and in compliance with local regulations and safety standards.

· Collaborate with the design, structural, MEP (Mechanical, Electrical, and Plumbing), and commissioning teams to ensure that CSA systems are properly integrated into the overall project plan.

· Ensure that all CSA works meet the specified quality standards by performing regular inspections and audits of on-site construction activities and materials.

· Oversee the work of subcontractors and vendors performing CSA-related tasks, ensuring adherence to timelines, specifications, and safety requirements.

· Monitor and manage the CSA construction schedule, ensuring that milestones are achieved on time and that work progresses in a timely and coordinated manner.

· Track and control the CSA-related budget, ensuring that the project remains within financial constraints, and implement corrective actions if there are potential cost overruns.

· Enforce strict adherence to health, safety, and environmental (HSE) standards and ensure CSA work activities comply with project-specific safety protocols and regulations.

· Identify potential risks to the CSA construction process and take proactive steps to mitigate issues, delays, or design conflicts. Address unforeseen challenges as they arise.

· Ensure the timely completion and handover of CSA-related components, including documentation such as as-built drawings, materials certifications, and other required reports for final client approval.

Requirements:

· Bachelor’s degree in Civil Engineering, Structural Engineering, Architecture, or a related field. A Master’s degree or professional certifications (e.g., PMP, Chartered Engineer) are an advantage.

· Minimum 5-10 years of experience in construction management with a focus on CSA works, particularly in large-scale projects such as data centres, commercial buildings, or industrial facilities.

· Extensive knowledge of civil, structural, and architectural design and construction practices, with experience in managing CSA works from ground up through to finishing stages.

· Strong leadership and interpersonal skills, with the ability to manage teams, subcontractors, and stakeholders while maintaining clear and effective communication at all levels.

· Exceptional problem-solving and decision-making abilities, particularly in managing complex site challenges, ensuring that CSA work is executed efficiently and safely, and resolving any issues promptly.

Queenie Chua

R24125459

At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties.

We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success.

Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results.

Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress.

At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.

Join us at #TeamCPF! Together, let's redefine possibilities and leave a legacy that echoes for generations.

What you will be working on

As a member of the Data Exploitation & Process Engineering section, you will drive process re-engineering to enhance operational efficiency and sustainability. Your role includes deploying data analytics for insights, supporting data management through governance and process coordination, and developing the Healthcare Datamart. You will also integrate it with the Unified Data Platform (UDP) and create healthcare dashboards for data-driven decision-making.

In this role, you will:

• Work with stakeholders to design and implement a comprehensive data management framework, processes, and standard operating procedures (SOPs), ensuring consistent data quality and adherence to best practices across the organization.
• Partner with both internal and external stakeholders on data analytics projects to uncover insights that drive policy reviews and support the formulation of operational strategies aimed at achieving business goals and improving performance.
• Work closely with the IT support team to develop, manage, and maintain the healthcare data mart and associated IT systems, ensuring the timely availability, accuracy, and integrity of healthcare data for advanced analytics and decision-making.
• Manage day-to-day operations, including the preparation, analysis, and collation of reports and statistical submissions, ensuring timely and accurate delivery of data to stakeholders.
• Drive ongoing improvements in data management processes, leveraging feedback and insights to enhance operational efficiency, streamline workflows, and ensure data-driven decision-making at all levels.
• Collaborate across departments, aligning data initiatives with broader organizational objectives and supporting a culture of data-driven decision-making.

What we are looking for

We value the diverse talents and experiences that each individual brings to the table. While mastery of every requirement may not be necessary, familiarity and expertise in some of the following areas will position you for success within this team.

• Proven experience in data analytics, with a prior experience in analysing and interpreting complex datasets to drive actionable insights.
• Good analytical and numeracy skills, with familiarity in statistical and visualisation tools such as Python, PowerBI, SAS, and Tableau.
• Ability to apply critical thinking and problem-solving skills to interpret complex data, identify trends, and develop actionable insights.
• Ability to work independently and adapt to changing priorities and challenges.
• Ability to collaborate effectively with both internal and external stakeholders, fostering productive relationships to achieve desired outcomes.
• Good verbal and written communication skills, with the ability to clearly articulate complex concepts.
• Attention to detail, ensuring accuracy and integrity of data while managing and analysing large datasets.
• The seniority of appointment and actual corporate job title will commensurate with individual work experiences.
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs.Additionally, there is potential for emplacement into a permanent position.

What you can expect

Being part of #TeamCPF means embarking on a challenging and rewarding career in a progressive workplace that values productivity and growth. Here’s what awaits you:

• Opportunities to engage in a mix of formal and informal training, keeping your skills sharp in our ever-evolving technological landscape.
• Promotion opportunities based on your capability and on-the-job performance.
• A vibrant community of like-minded and friendly colleagues, where collaboration and creativity thrive.
• A hybrid work model that offers flexibility for remote work, subject to exigencies of service.
• Flexible dress code that empowers you to choose your appropriate outfit for the day.
• A comprehensive rewards package that includes annual leave, pro-family leave, medical and dental benefits, and access to recreational activities.

About Central Provident Fund Board

At the Central Provident Fund (CPF) Board, we believe in developing individuals who are inspired to do their life’s best work, through 3Ps: Purposeful Work, Professional Growth, People & Culture.

Purposeful Work – The CPF Board helps 4 million members save for their retirement, healthcare and housing needs. Beyond being a pension fund, we are unique in being a national social security organisation, and we serve CPF members knowing that we make a difference.

Professional Growth – At CPF Board, you will have the opportunity to learn on the job and pick up new skills and knowledge. Although you are joining one organisation, you will have access to many career paths in the years ahead.

People and Culture – When you join CPF Board, you become part of a mission-oriented organisation with a strong culture of teamwork, collaboration, and innovation. As an employer, we value our people as our greatest asset, and foster a culture of respect, diversity, and inclusivity, where everyone's voice is heard, and contributions are recognised and celebrated.

Come and be a part of #TeamCPF today, to make a difference in the lives of others and in the future of Singapore.

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Location: East

Mon to Fri 9am to 6pm

Salary: $2500 to $3300 depends on experience

Work life balance-Go back home on time

Training provided

Job Description

• Supporting role for Sales team.
• Processing purchase orders and expediting delivery schedules
• Interact, engage and/or respond directly to customers’ needs & requirements.
• Occasionally required to visit valued customers along with our sales persons to co-address critical business related issues such as ordering management, forecasting, pricing and so forth.

Requirements

• Able to communicate in both Mandarin and English fluently to liaise with customers
• Cheerful personality
• Able to start work immediately
• Fresh/Entry level welcome as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

SIA will be conducting interviews for Direct Entry First Officers. If you meet the following requirements, we will be pleased to receive your application:

• Possesses a valid Class 1 Medical Certificate, recognized or can be validated by Civil Aviation Authority of Singapore (CAAS)
• Holds a valid Airline Transport Pilot Licence (ATPL), Commercial Pilot Licence with Multi-Engine Aircraft Instrument Rating (CPL/MEIR) with frozen ATPL, or Multi Pilot Licence (MPL), recognized or can be validated by CAAS.
• 1500 total multi-crew flying hours on jet engine aircraft with MTOW > 20T. Candidates with less than 1500 but more than 700 hours on these aircraft may be shortlisted based on merit, and may be put through a longer training programme if successful.
• Able to speak and understand English with ICAO English Level 5 or above for inflight radio-telephony communications
• Minimum height requirement of 1.62m to carry out safety and emergency procedures on board

Training

Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating.

Remuneration and Service Benefits

You will enjoy an attractive salary, along with various allowances and benefits.

Bond

Successful candidates who are provided with type rating training will be required to enter a training bond.

Job Description:

The role is for the position of VP – Network Data Architecture ASO TIS Job function in Singapore. The successful candidate will be part of a growing dynamic regional team that oversees IT design and development of Network Solutions In the region.

We are seeking a talented Network Architect to join our team. The Network Architect will be responsible for designing, implementing, and maintaining the network infrastructure to ensure the confidentiality, integrity, and availability of our organization's data and systems.

Roles & Responsibilities:

• Network Design and Architecture: Lead the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Data Flow Management: Ensure efficient, secure, and optimized data flows across the organization's network infrastructure, including data canters, branch offices, and cloud services.
• Technology Strategy and Roadmap: Collaborate with IT leadership to develop network strategies and roadmaps, ensuring alignment with business goals and future technology trends.
• Capacity Planning: Perform ongoing network performance monitoring and capacity planning to handle current and future data demands.
• Security Compliance: Collaborate with peer teams to ensure networks are designed and implemented with security best practices, regulatory compliance (e.g., GDPR, HIPAA), and threat mitigation in mind.
• Vendor Management: Manage vendor relationships and evaluate third-party network technologies, products, and services to support business requirements.
• Documentation and Standards: Develop and maintain documentation for network architecture, including diagrams, configuration guides, and operational procedures.
• Cross-Department Collaboration: Partner with application, cloud, and infrastructure teams to optimize overall system performance and deliver integrated solutions.
• Troubleshooting: Act as the top-level support for diagnosing, troubleshooting, and resolving complex network issues, ensuring business continuity.

Technical Capabilities

Arch, Design and Implement Network Solutions:

• Design and implement Network solutions to protect the organization's network from unauthorized access and attacks.
• Review current designs and re-design to improve quality of services and to ensure modernized, fit for purpose Network infra for employees.

Develop and Maintain Network Security Policies, Standards, and Procedures:

• Develop network data security policies that outline the organization's security objectives and requirements.
• Establish security standards and procedures for configuring and managing network security devices.

Contribute into Risk Assessments for Data / Connectivity Audits:

• Participate in regular risk assessments on core infra to identify potential security vulnerabilities and threats.
• Contribute to security audits to assess the effectiveness of existing controls and identify areas for improvement.
• Recommend security enhancements based on the findings of risk assessments and audits.

Collaborate with IT Teams:

• Work closely with IT teams to integrate requirements into network infrastructure and applications.
• Provide guidance on implementing best practices and standards.
• Collaborate with application developers and system administrators to ensure that business requirements are met.

Enhance Network Traffic Monitoring and Innovate Automations:

• Enhance network traffic monitoring to effectively detect issues
• Take appropriate actions to mitigate the impact of incidents and prevent future occurrences.
• Look for predictive analysis/solutions to improve user experience, quality and capabilities of networks.

Provide Technical Guidance and Support:

• Provide technical guidance and support to team on network best practices.
• Assist in troubleshooting network Problems and coming up with solutions to address them.
• In-depth insight and oversight onNetworking Protocols: Expertise in IP networking protocols (e.g., BGP, OSPF, MPLS, VLANs, IPsec, TCP/IP, QoS) and related technologies.
  Cloud Networking: Hands-on experience with cloud networking in platforms such as AWS, Azure, and Google Cloud, including hybrid cloud designs and integrations.
  Network Automation: Knowledge of network automation tools (e.g., Ansible, Python scripting, Terraform) to automate configuration, deployment, and management processes.
  Virtualization: Experience with network virtualization technologies such as SDN (Software-Defined Networking) and NFV (Network Function Virtualization).
  Security Technologies: Proficient in network security technologies like firewalls, VPNs, IDS/IPS, DDoS protection, and identity access management (IAM).
  Network Monitoring: Familiarity with network monitoring tools (e.g., SolarWinds, Netscout, Wireshark ) for performance and anomaly detection.
  Data Center Architecture: In-depth understanding of data center networking (e.g., spine-leaf, fabric architectures) and cloud connectivity
  

Job Requirements:

• Min 15 years of experience in networking, with at least 7+ years in an architectural or senior engineering role.
• Experience in leading the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Cisco Certified Internetwork Expert (CCIE), AWS Certified Advanced Networking, or other equivalent certifications.
• Strong understanding of enterprise-level network architectures, data center environments, and cloud integration.
• Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of innovative problem-solving and ability to troubleshoot complex network systems.
• Experience in managing network infrastructure projects from initiation to completion, including budgeting, planning, and execution.
• Bachelor’s Degree: Degree in Computer Science, Information Technology, Network Engineering, or a related field is required.
• Master’s Degree (Preferred): An advanced degree in a relevant field is a plus, particularly in network architecture, cybersecurity, or cloud technologies.

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10067214

The incumbent is responsible to design, develop and implement AR and FRDMP programs, scripts, batch jobs for AR/ FRDMP systems. He/she will work with stakeholders across various functions to deliver technology solutions to address their business needs.

Job Responsibilities

• Perform impact analysis for upstream and downstream changes that affect the systems.
• Utilize programming methodologies and languages and adhere to coding standards, procedures and technologies while contributing to the technical code documentations.
• Design, develop and deploy the programs, shell batch scripts, complex MSSQL and T-SQL scripts (packages, stored procures, functions, and triggers).
• Follow the organizational SDLC processes to deliver the project or enhancement requests, create/update the SDLC documents including functional and non-functional specifications, technical design documents, test plan, test cases, release procedures, system operational documents, user manuals etc.
• Participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow; participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
• Investigate and troubleshoot the production issues and system problems escalated by IT operation team, identify the root cause, provide workaround to rectify the issue/problem, and work out the long-term solution to fix issues/problems permanently.
• Involve in regularly maintenance activities, e.g., yearly DR drill, quarterly support for server or platform software patching, etc.
• Provide ad-hoc support for other IT service requests, e.g., data extraction, data alteration, extract system logic, answer to users’ inquiry about the data/logic in the system, etc.
• Manage, maintain, and support applications and the corresponding operating environments, focusing on stability, quality, and functionality against service level expectation.
• Evaluate the current system state, identify aspects which could be improved and recommend changes to achieve the improvement.
• Coordinate production release preparation, provide on-call support and afterhours/weekend support as needed to cover change deployment.
• Highlight or escalate risk and issues to relevant parties in a timely manner.

Job Requirements

• Masters or bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 2 years’ experience on MS SQL Server development (SSIS packages, stored procedures, functions, triggers).
• Familiar with Software Development Life Cycle (SDLC) process.
• Possess problem-solving ability and work well in a challenging technical environment, with capability to multi-task whilst delivering high quality solutions.
• In-depth understanding of database management systems.
• Strong communication and influencing skills.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.
• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.
• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.
• Implement data quality checks, data validation, and ensure accuracy in processed data.
• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.
• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.
• Programming Languages: Python, Scala
• ETL Tools: Informatica, SAS
• Database Management: Oracle, MySQL, MS SQL Server, MongoDB
• Scripting: SQL, PL/SQL
• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook
• Version Control and Build Tools: Maven, SBT, Git
• Methodologies: Agile, Scrum
• Operating Systems: Windows, Unix, Linux
• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL DataWarehouse, Azure Data Lake Storage, BLOB Storage

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368