• 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 Data Warehouse, Azure Data Lake Storage, BLOB Storage

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Job Responsibilities
In the establishment and expansion of overseas data centers, the Site Selection Specialist will assist the Site Selection TPM (Technical Program Manager) in coordinating communication with candidate data centers, as well as with procurement and engineering teams, and tracking each step of feedback from suppliers.
For existing data centers, manage lease renewals by notifying stakeholders 6 months prior to contract expiration to decide on renewal.
In overseas decommissioning projects, assist the Site Selection TPM in communicating with data centers regarding the feasibility and specific plans for decommissioning, and track the implementation of each preliminary action discussed.

Qualifications

• Strong communication and problem-solving skills.
• Over 3 years of experience in data center construction or on-site operations and maintenance; experience with Alibaba data centers is preferred.
• Project management experience; holders of PMP or equivalent certifications are preferred.
• IT background with familiarity in areas such as network architecture, servers, and fiber optics is preferred.
• Fluent in English and Chinese; proficiency in an additional local language is an advantage.
• Willingness to commute to multiple sites within the region; possession of a local driver’s license is preferred.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

We are looking for Business Data Analyst to join one of the government agency!

• Be part of the team to handle government project
• Great working environment and career exposure (Agile, Cloud, Design Thinking, Data Analytics)
• Attractive salary package & employment benefits (up to 24 days leave, medical insurance etc)

Responsibilities:

• Partner with the Government Agency’s business teams to elicit citizen/business needs through human-centric, visual methods such as service journeys and develop the appropriate business case
• Apply Design Thinking / Service Design methodology and tools to develop and execute the approach to derive current state gaps and challenges, and future state design and solutions
• Work with the Agency's project teams to develop user stories, functional/technical specifications and acceptance criteria
• Adopt best practices in data governance, perform data cleansing, pre-processing and feature engineering that facilitate meaningful analysis
• Design interactive visualisation dashboards for data exploration and provide insights to Agency’s business teams
• Evaluate and recommend suitable technology while aligning with Government’s technology directions (such as cloud-based, enterprise architecture and modernization of legacy systems, adoption of SG Tech Stack)
• Identify and adopt the appropriate development methodology (e.g. Agile or Waterfall) in an Outsourced, Co-Sourced or In-house development environment
• Ensure system or product readiness for smooth deployment, adoption and operations
• Analyse impact of requested changes and propose improvements to continuously address changing business needs, and work with support team to understand and address technical problems (Operations & Maintenance phase)

Requirements:

• Singaporean Only
• Min 4 years of experience in business analytics, application solutioning design and testing
• Experience with one of the following: Agile (Scrum/Kanban), Cloud (AWS/Azure), Design Thinking, Data Analytics
• Data manipulation using scripting languages like Python or using ETL tools Visual analytics technologies like Tableau, Power BI End-to-end analytics architecture, preferably with some working knowledge of big data stack

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui (Vivian) | R2090138

ScienTec Consulting Pte Ltd | 11C5781

You will be working closely with the Business Lead and IT Team to support our regional data warehouse projects, playing an active role in requirements gathering and user acceptance testing. You will also be working closely with a team of junior actuarial data analysts to set up the company’s systems to process and consume bordereaux data provided by clients and provide extracts, reports and business insights to down-stream users.

Your Role:

• Assess data quality in the region and for the robust processing of data
• Provide actuarial and business input to the IT Team during requirement-gathering exercises
• Use actuarial and systems knowledge to assess proposed IT solutions
• Plan, support and actively manage the User Acceptance Testing of system changes
• Set up the regional systems to consume the data provided by selected cedents
• Support other members of the Data Team in expanding their actuarial and insurance knowledge
• Liaise with local offices throughout the region, as and when necessary
• Support the change management function in relation to data systems and processes
• Work with other members of the Data Team to analyse available data and to develop dashboards and reports, communicating relevant insights to senior management

Your Profile:

• Nearly-qualified / recently-qualified actuary with 5 to 10 years of experience in life reinsurance
• Thorough understanding of life insurance principles and products in the region
• Proven knowledge and hands-on experience in managing and contributing to IT projects,
• Possess technical computing skills such as SQL and Data Services
• Good analytical abilities and proficient in resolving challenges
• Fluent in English (both verbal and written business level)

Our Benefits:

• Flexible and Hybrid working arrangements
• Generous annual leave allowance
• Competitive dental, life and health insurance coverage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.

Job Description

We are seeking a Junior Consultant for a short-term project, based onsite at the client's office in Changi Business Park, Singapore. This position is ideal for individuals with a few years of experience, who are comfortable working in a bilingual environment (English and Mandarin). The consultant will receive training and will have access to reference materials and Standard Operating Procedures (SOPs) to assist with project tasks.

Key Responsibilities

• Application Usage:
  • Efficiently utilize the client's in-house application as a primary tool for project-related tasks.
  • Conduct searches and gather information using tools such as Google/Baidu and Ripjar Lexis Nexis.
• Data Processing:
  • Support data processing and analysis efforts, ensuring accuracy and adherence to provided SOPs.
• Collaboration:
  • Work collaboratively within the team and communicate effectively in both English and Mandarin to facilitate seamless information exchange.
• Onsite Operations:
  • Perform project activities onsite at the client’s location to meet time-sensitive requirements.

Qualifications

• Experience: A few years of relevant experience, preferably in consulting or data-related projects.
• Language Skills: Proficiency in both English and Mandarin for effective communication and data processing.
• Technical Skills: Basic familiarity with:
  • Google/Baidu search engines
  • Ripjar Lexis Nexis
  • Client’s in-house application (training provided)
• Other Skills: Strong attention to detail, ability to follow SOPs, and adaptability to learn new tools and processes quickly.

Additional Information

• Training: Provided onsite, with access to detailed SOPs and other reference materials.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

About the company
Our client is a renowned leading insurance company.

About the job
This role supports the Regulatory Compliance team, with a focus on data protection, and requires close collaboration with senior management and other business units. The key responsibilities include:

• Ensuring compliance with PDPA by monitoring data policies, identifying risks, and managing privacy documentation.
• Conducting audits, addressing data protection issues, and managing data breach incidents.
• Serving as a contact for data privacy queries, promoting compliance culture, and providing regulatory advice and training.
• Developing compliance programs and addressing any non-compliance areas.

Skills and experience required

• At least 5 years of experience in regulatory compliance, particularly in data protection.
• Strong written and verbal communication skills, and ability to present complex ideas.
• Possess strong understanding of insurance regulations.
• Excellent analytical, negotiation, influencing, and relationship-building skills.
• Self-motivated, independent, adaptable, and strategic thinker able to work with minimal supervision.

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

Morgan McKinley is seeking a Data Scientist for a 12 months contract assignment with a possibility to extend or to go perm!

Job Responsibilities:

• Innovate: Develop and implement cutting-edge LLM-based applications, including AI chatbots, with a focus on reusability and scalability.
• Validate: Design and execute data-driven experiments to assess the effectiveness of our LLM solutions.
• Analyze: Use advanced ML algorithms to dissect large-scale data and provide actionable insights for complex business problems.
• Collaborate: Partner with cross-functional teams to identify new opportunities for LLM applications that can propel merchant growth.
• Evolve: Stay ahead of the curve by keeping up with advancements in LLM and ML technologies, applying your knowledge to continuously enhance our solutions.

Job Requirements:

• A PhD or Master's degree in Computer Science, Operations Research, Mathematics, or related fields.
• A minimum of 2 years of relevant work experience in data science or a similar domain.
• Proficiency in programming languages such as Python, PyTorch, SQL, and Spark.
• Strong grasp of ETL processes and experience with large data platforms.
• Hands-on experience with LLMs and a genuine enthusiasm for exploring their applications.
• Excellent analytical and problem-solving skills, with the ability to contribute both independently and as part of a team.
• Strong communication skills, adept at conveying complex concepts to non-technical stakeholders.

Why Join Us?

• Impactful Work: Be at the forefront of AI innovation and play a crucial role in transforming how businesses operate.
• Dynamic Environment: Collaborate in a fast-paced, supportive setting that encourages growth, learning, and creativity.
• Professional Development: We offer opportunities for continued learning and career advancement in the rapidly evolving field of AI and data science.
• Competitive Compensation: Enjoy a competitive salary and benefits package that recognizes your expertise and contributions.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

The key duties and responsibilities of the role include (but are not limited to):

• To prepare and compile data for report submission
• Referring to database and data entry
• Conducting data quality control

Requirements

• SINGAPOREANS ONLY
• Willingness to keep a working ledger of all tasks done
• Familiar with using MS Word/Excel
• No criminal history (will have to obtain security clearance)

• Reporting to the Team Manager, monitor and ensure product delivery velocity with good & transparent communication
• Be the leader of the unit spearheading new projects with goals / vision aligned with HoD's direction, together with fellow data scientists, under the 5 pillars in the team (Forecasts x 2, Pipeline, Optimization and Visualisation)
• Provide guidance to junior staff in SG office and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for OASIS data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Ensure all products are delivered without exceptional results and address failure with Product Owner within tolerance timeline
• Initiate enhancement of in-house forecast solution with information provided by counterparts/front office through meetings, visits and inquiries
• Follow up on poor forecast accuracy locations and provide suggestions on how to improve the current logics and system
• Analyze forecast inquiries from local offices and RHQ, proposing enhancements to the current logics/models
• Respond to the forecast system users' inquiries with regards to the system forecast value background

Requirements

• Bachelor's Degree in Data Science, Analytics or Mathematics
• Good knowledge of Mathematics/Statistics/Computer Science/Machine Learning
• Proficiency in staff management and related managerial techniques
• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)/ Google Suite (Apps Script is a plus)/ Github/ Jira/ Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Strong problem-solving and risk analysis skill to analyse internal system data as well as the forecast system background data
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred; shipping knowledge will be advantageous

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

(a) Provide input to the development, maintenance and promulgation of the blueprints, roadmaps and reference architectures for Data Analytics infrastructure and services.

(b) Perform analysis of new requirements and develop solutions and manage solution delivery through acquisition or change control.

(c) Enhance our cloud capability by creating and implementing cloud application patterns.

(d) Develop and implement ways to move apps and workloads to the cloud.

(e) Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.

(f) Write and develop cloud automation playbooks for managing and scaling containers, hosts, cloud services, and applications.

(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best practices.

(h) Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services.

(i) Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.

(j) Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents.

(k) Work with DevOps and engineering teams to develop service catalogues.

(l) Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements

(a) Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.

(b) Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.

(c) Experience with

· databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)

· data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)

· data interrogation techniques (e.g. SQL, NoSQL).

· structured and unstructured data analytics.

· statistical computing programming language (e.g. R, Python).

· data quality tools and processes.

· data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).

(e) Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).

(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).

(g) Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.

(h) Exposure to the development, evolution and adherence to the architectures relevant to the domain.

(i) Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).

(j) The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.

(k) Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

(l) Familiarity or experience with health informatics would be preferred.

(m) An understanding of healthcare data governance, data acquisition and data management would be an advantage.

(n) Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

1.1.3 Cloud Exposure (AWS):

(a) Strong knowledge and practical experience with AWS.

(b) Familiarity with modern cloud application architecture.

(c) Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.

(d) Experience with setting up load balancers, cloud networks, and virtual servers.

(e) Infrastructure as code (IAC): Cloud formation, terraform.

(f) AWS identity and access management, integration with active directory.

(g) Familiarity with security and access control measures to control privileged access to test and production environment.

(h) Certification in AWS Cloud Practitioner or AWS Architect.

Internal ref: S- To be uploaded

Regards,

Lini

Recruitment Consultant

R22108463

Role: Contract (1 year, Renewable)

Position: Big Data Support Engineer

Mandatory Skills: Big Data, Data pipeline, Apache and Hadoop

Experience: 6 - 8 yrs

POSITION GENERAL DUTIES AND TASKS:

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

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

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines using PySpark, Dagster, Sqoop, Flume, and Informatica to extract, transform, and load data from various sources to target systems.
• Work with Teradata Utilities and DataStage for ETL processes and optimize data workflows for scalability and efficiency.
• Develop and maintain applications using C#, ASP.NET, and MVC frameworks for data-driven applications and web solutions.
• Work collaboratively with other software developers to integrate backend data solutions with web and application services.
• Use Python libraries (Pandas, NumPy) to clean, manipulate, and analyze large datasets, providing valuable insights to business units.
• Develop, optimize, and troubleshoot complex data transformations and aggregations to support analysis and reporting.
• Build, manage, and optimize data visualizations using Tableau, Power BI, Qlik Sense, and SSRS to empower stakeholders with insightful, actionable data.
• Create customized dashboards, reports, and interactive visualizations to communicate key performance metrics and business insights.
• Leverage knowledge of Teradata and other databases for query optimization, data extraction, and integration.
• Work with distributed computing environments (e.g., PySpark) to process large datasets and support advanced analytics.
• Ensure data quality and consistency across all data sources and pipelines, applying best practices for data governance.
• Perform data audits and implement monitoring solutions to detect and resolve data discrepancies and issues.
• Partner with data scientists, analysts, and business stakeholders to understand data needs and provide high-quality solutions.
• Communicate technical solutions and data insights effectively to non-technical stakeholders.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• 3+ years of experience in data engineering, software development, or data analysis roles with expertise in the specified technologies.
• Proficiency in Python (Pandas, NumPy, PySpark) for data manipulation and analytics.
• Strong skills in C#, ASP.NET, and MVC for application development.
• Experience with ETL tools like Dagster, Informatica, Sqoop, Flume, and DataStage.
• Familiarity with big data technologies, including Spark and Teradata Utilities.
• Strong experience with Tableau, Power BI, Qlik Sense, and SSRS for reporting and dashboard development.
• Experience with Teradata, SQL Server, or similar relational databases for efficient querying and data extraction.
• Knowledge of data quality, governance, and data lifecycle management best practices.

Savita Rai

EA REG NO: R1873418

EA License No:23C2060

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Role: Solution Architect (Data Analytics)

Responsibilities

(a) Provide input to the development, maintenance and promulgation of the blueprints, roadmaps and reference architectures for Data Analytics infrastructure and services.

(b) Perform analysis of new requirements and develop solutions and manage solution delivery through acquisition or change control.

(c) Enhance our cloud capability by creating and implementing cloud application patterns.

(d) Develop and implement ways to move apps and workloads to the cloud.

(e) Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.

(f) Write and develop cloud automation playbooks for managing and scaling containers, hosts, cloud services, and applications.

(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best practices.

(h) Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services.

(i) Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.

(j) Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents.

(k) Work with DevOps and engineering teams to develop service catalogues.

(l) Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

REQUIREMENTS:

(a) Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.

(b) Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.

(c) Experience with

• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)

• data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)

• data interrogation techniques (e.g. SQL, NoSQL).

• structured and unstructured data analytics.

• statistical computing programming language (e.g. R, Python).

• data quality tools and processes.

• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).

(e) Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).

(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).

(g) Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.

(h) Exposure to the development, evolution and adherence to the architectures relevant to the domain.

(i) Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).

(j) The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.

(k) Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

(l) Familiarity or experience with health informatics would be preferred.

(m) An understanding of healthcare data governance, data acquisition and data management would be an advantage.

Cloud Exposure (AWS):

(a) Strong knowledge and practical experience with AWS.

(b) Familiarity with modern cloud application architecture.

(c) Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.

(d) Experience with setting up load balancers, cloud networks, and virtual servers.

(e) Infrastructure as code (IAC): Cloud formation, terraform.

(f) AWS identity and access management, integration with active directory.

(g) Familiarity with security and access control measures to control privileged access to test and production environment.

(h) Certification in AWS Cloud Practitioner or AWS Architect.

If you are keen to explore the above role, please send across your updated resume to [email protected] and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

The successful incumbent who will be part of a global data management team, will be supporting the employee life cycle events globally by leveraging system knowledge to create documentations accurately and to maintain organization data in Workday (HRIS system). In addition, the incumbent will work closely with Regional Data Management team globally.

Requirements

• Degree with min 1 year OR diploma with 5 years of HR operations/organizational management/HRIS
• Experience in using any HRIS system
• Entry level degree holders with internship experience in HR Ops/HRIS welcome to apply too
• Strong communication skills

5 days work week/Central location

This is a 1 year contract with completion bonus

Interested candidates may forward your resume to [email protected]

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

Hybrid working arrangement

• Can choose to go office or work from home
• To attend occasional meetings held in office

Main tasks

• Maintain timely deliverable and accuracy of all critical business reporting and dashboards.
• Collaborate with the different business departments to understand analytical needs and translate them into data requirements with clearly defined data metrics and definitions.
• Coordinate and work with analytics team to optimize the data flow and automate various data sources.
• Day-to-day interaction with dashboard, CRM, and other database on data investigation to track performance of specific business needs.
• Create value for RMS APAC by translating all the data insights to help in making informed marketing, sales, and business strategies.
• Work with local and global analytics teams to drive digital transformation, training, and adoption of solutions.
• Work closely with management to prioritize and do insights generation using data mining and other data manipulation skills.
• Lead ad hoc projects to optimize processes and/or improve the quality of the database.

Skills

• Strong analytical skills, capable of using data analytics to drive business insights and execution
• Experience in solving the business problems by analytical method (modelling, visualization, graph analysis)
• Experience with data visualization tools (Power BI, Tableau, or similar BI reporting platform)
• Knowledge of Salesforce, CRM, Python would be advantageous
• Excellent knowledge of Microsoft Office suite, especially in PowerPoint & Excel
• Strong communication skill
• Team player with strong interpersonal skills and ability to collaborate with multiple stakeholders
• Must be comfortable in a fast-paced, dynamic, and rapidly changing environment while working under pressure and tight date-lines

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!
Interested candidates please submit your resume to [email protected]

Jace Choo Oi Kei
Personnel EA License No.: R1875164
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

The selected candidate shall in capacity of Data Privacy Office is expected to serve as a subject-matter-expert (SME) on regional data-related regulations / legislation and at times serving as the designee / stand-in for the Regional Head on advisory matters, program decisions, or engagement with the business or other partners. The selected candidate would be required to ensure the consistent implementation of Global Data Privacy and Protection Program that enables the Bank to operate in a global, regional and functional manner that is compliant with existing and emerging data-related regulations / legislations. Furthermore, the selected candidate in the capacity of Regional Technology Compliance Advisory is the APAC SME on technology-related regulations (e.g. Information security, Artificial Intelligence) functioning as a Compliance advisor supporting Compliance team across APAC and liaising with System Office of Asia.

Strategic

• Provide regional input in developing and enhancing privacy compliance-related policies, procedures, processes, and internal controls, in particular ensuring consistency and driving a regional or global approach.
• Support of the projects/initiatives of Global Privacy Program and APAC Compliance Program.
• Continuous process refinement to manage and deliver effective advisory

Financial

• Ensure operational activities are performed effectively and assess initiatives to reevaluate resourcing structures

Customer

• Develop and maintain relationships with lines of business in APAC.
• Collaborate and support global / regional projects through the provision of subject matter expertise and assessments.

People

• Develop and maintain cooperative partnership with ACO specialist teams, APAC Country Compliance Officers (and teams), Global Data Privacy teams, Global Cross Border Data Movement team and Legal teams.

Other/Control

• Assist the Regional Head in executing the APAC Data Privacy and Protection program, including Privacy Impact Assessment reviews, collaboration with the line of business privacy leads in APAC, support of global and regional projects, especially project involving cross-border data movement, review and updating Privacy Notices, and advisory support for privacy incidents.
• Provide reports and advice to the Global Chief Privacy Officer and Global Data Privacy and Protection Program leads, as well as to committees and senior management on regional privacy related issues, trends, exceptions, and program enhancements with the APAC region.
• Engage regional Business / Support Unit management to ensure compliance to Data Privacy and Protection Program.
• Maintain a current awareness of the data-related and technology-related regulatory/legislative environment throughout the APAC region and demonstrate a strong working knowledge of privacy principles and technology applications.
• Research privacy and technology regional compliance issues and provide interpretations and clarifications.
• Coordinate remedial measures in response to issues raised in compliance examinations, audits and quality control testing.
• Interact and coordinate frequently with privacy and technology compliance officers in other MUFG regions.
• Interact with regulators regarding privacy-related examinations and ongoing supervision matters, in coordination with Legal and Government Affairs teams.
• On all of the above responsibilities, at times serve as the designee/stand-in for the Regional Head.

Job Requirements:

• Minimum Bachelor Degree
• Minimum 5 years of compliance experience in the banking/financial services industry with an emphasis of privacy compliance.
• Management / supervisory experience in the compliance function of a larger bank of financial institution.
• Strong working knowledge of banking products and services
• Strong working knowledge of privacy-related laws, regulations, and regulatory/legislative processes.
• Preferably, experience in successfully interfacing with regulators in the banking/financial services industry.
• The Certified Information Privacy Professional/Asia (CIPP/A) and /or other relevant certifications preferred.

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

Job ID: 10067966

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

Responsibilities:

• Data Centre Operations & Maintenance:Lead 24/7 operations, ensuring compliance with all regulatory and operational standards, and maintain uptime and system availability.
  Oversee facility infrastructure, including power, cooling, security, and network management to support high-density, mission-critical environments.
  Conduct regular inspections and proactive maintenance to prevent disruptions.
• Cluster Supply Organisation Collaboration:Engage actively in a cross-functional team structure, working with agile methods that support rapid, flexible responses to changing conditions and customer needs.
  Embrace iterative development practices, continuously enhancing products and services to deliver valuable functionalities to customers.
• Team Leadership & Development:Lead a team of data center technicians and engineers, guiding skill development, encouraging accountability, and fostering a “fail fast” approach to enable rapid correction and adaptation.
  Share specialized knowledge across cells and chapters, maintaining open communication for regular, timely feedback.
• Strategic Planning & Process Improvement:Coordinate data center activities, including system installations, upgrades, repairs, and maintenance, aligning with the bank's digital strategy.
  Manage the full product lifecycle, taking quality, compliance, and customer needs into account.
  Implement agile quality assurance and risk management frameworks to ensure secure, reliable operations.
• Capacity & Resource Management:Anticipate capacity needs, optimize space, power, and cooling, and manage a budget to ensure cost efficiency while maintaining performance standards.
  Organize and prioritize regular tasks, using a proactive approach to risk, compliance, and resource management.
• Security & Compliance:Ensure physical and data security, maintaining compliance with regulatory standards (e.g., PCI-DSS, ISO 27001) and internal policies.
  Coordinate disaster recovery (DR) and business continuity (BC) planning, ensuring frequent failover testing and readiness.
• Vendor & Stakeholder Engagement:Manage relationships with vendors and service providers, ensuring adherence to service-level agreements (SLAs).
  Liaise with IT and business stakeholders to align data center activities with broader business goals.

Requirements:

• Degree in Computer Science, Engineering, or a related field
• Financial Services experience is a must
• Minimum of 7 years in data center operations
• At least 4 years in a management role in the banking or financial sector.

What we are looking for:

- Not suitable for Data engineers who have never worked on a user facing application

- Not suitable for middleware system engineers/system integrators

- Not suitable for Pure project managers/scrum masters. The person has to be hands on technically

- Machine Learning System & Dynamic Customer Risk Score Projects Domain Details (EDA process, Stratified sampling, Standard machine learning process, Feature engineering)

- Main Requirements Are:

1. Strong Experience application solutioning for interface connectivity such as APIs for ETL processes

2. Systems Architecture/Technical Design and BAU Issues Resolution

Job Objectives

To support AML (Anti-Money Laundering) Projects/CRs related to KYC Dynamic Customer Risk Score

Key Responsibilities

• Participate in end-to-end projects for system implementation of machine learning system

• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards

• Liaise with application teams across group and countries build the enhancements according to the technical solution plan

• Analyse user requirements and convert requirements to design document and other system documentation to capture key design decisions.

• Ensure scalability and maintainability of applications

• Plan technical deliverables, perform design and development works to meet project’s requirements within schedule

• Perform data mapping and process mapping with interfacing applications

• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested

• Test, maintain and recommend software improvements to ensure strong functionality and optimization

• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing

• Liaise with other application teams and business users to prepare test data to support test scenarios

• Manage project change request approval windows and deployment schedule

• Facilitate and provide technical and testing support before and after production deployment

• Liaise with other units across IT and Business in the organization

• Manage external vendors for project delivery within schedule

Key Requirements

Must Have

• More than 10 years assuming techno functional role in compliance technology(preferred) or risk/finance technology

• At least 8 years of experience in application and process design

• Ability to multitask effectively and handle large amounts of data

• Moderate SQL skills are required

• Highly driven, pro-active and a strong team player

• Excellent interpersonal skills and written and verbal communication skills in English

Good to Have

• Experience in Hadoop ecosystem and technologies

• Experience in NoSQL database or Big Data

• Experience in Git, Jenkins, JIRA

• Experience in SharePoint and Confluence

• Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark•

Key responsibilities:

• Overall accountable and responsible for delivery of testing services across the Payments, Real-time Data, Online API (PROS) Program

• Manage and oversee the day-to-day delivery of test services by Bank appointed vendors in the conduct of testing

• Works with the testing service providers and other BANKS stakeholders to review, provide feedback and sign off on the test strategy, test plans and other test service providers’ artefacts for the testing service delivery

• Coordinates with the Test Governance team to ensure adoption of testing methods, standards and tools, and to coordinate any health checks or audits

• Ensures that any changes to the scope of services are communicated to the respective test service providers and the impact is factored in to the plan

• Engages with various BANKS stakeholders (including but not limited to, application, security, infrastructure, business), testing service providers to ensure testing services meet the banks’ objectives and demand

• Act as the first point of escalation for any issues raised by BANKS stakeholders, testing service providers

• Quantify, manage, track and report test related statuses, SLA and KPIs, and ensure that defined testing transformation SLA and KPI targets are met for the portfolio accountable

• Drive and collaborate with all BANKS stakeholders and test service providers to plan all testing related deliveries for the portfolio accountable

• Participate and contribute in forums, as required, to drive testing transformation and innovation

• Works closely with the Test Engineering Lead to provide inputs around domain specific test engineering requirements and ensure that they are met

• Establishes and maintains effective working relationships with the Vendor Test Managers/Test Leads for the respective domains

• Engages stakeholder communities to get their feedback on testing service delivery and identify improvement opportunities to be fed back to the Testing Centre of Excellence team

Key skills required:

• Payments processing

• Cross border transaction processing

• Vendor management

• Up to $5,500 Basic+ Variable bonus!
• Permanent position/ 5 work days/ Project Data centre @ Tuas [Shuttle service provide at Jurong East MRT station].
• Our client is a reputable MNC & leading A1 main contractor!

Our client is a reputable MNC and leading A1 main contractors diverse in civil and building project.

Job Responsibilities:
• Responsible for all works related to M&E Quantity Surveyor duties.
• Liaise with consultants and subcontractors on progress claim.
• Prepare subcontract documents and purchasing agreements.
• Preparing cost estimation and identify variation works.

Job Requirements:
• Diploma/ Degree in Mechanical/ Electrical/ Quantity Surveying or equivalent.
• Minimum 3 years in construction Building/ Data centre projects.

Other Information:
To apply please click on the APPLY button or email your resume to [email protected] with the following details:
• Reason for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified.
Lionel Cheow
EA License | 14C7092
EA Registration Number | R1105005

• Raffles Place
• Together with the project team, analyze and optimize HR data to improve data quality and ensure accuracy across various modules in the HR system.
• Develop and implement data standards and guidelines to ensure consistency and integrity across all HR data
• Work closely with HR functional stakeholders to understand data needs and requirements, address data related challenges and support HR processes
• Work with IT team to troubleshoot and resolve data issues, ensuring seamless integration and operation of HR platforms.
• Identify opportunities to improve data related processes and workflows, ensuring that data management practices evolve with business needs

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)

Recruit Express Pte Ltd (EA: 99C4599)