About Us:

At our core, we are a digital health startup with a bold vision: we believe in a future where healthcare is personalised, accessible, and affordable for everyone. Over the past four years, we’ve built a telehealth platform that has transformed healthcare in Singapore, Hong Kong, and Japan. But this is just the beginning.

We are looking for someone who shares our vision and is ready to join us on this journey towards reshaping healthcare in Asia. If you’re ready to do something truly impactful, this is the opportunity to create a legacy that will define the next generation of healthcare.

About the Role:

As a Data Engineer, you’ll take full ownership of our data infrastructure overhaul, focusing on creating a reliable, scalable, and efficient data ecosystem. You’ll address tracking issues, implement robust data governance, and ensure seamless data flows between our Customer Data Platform (Segment), BigQuery, and downstream tools.

This role requires a proactive, detail-oriented individual with strong technical skills and a collaborative mindset to work closely with Product, Growth, and Engineering teams.

Why Join Us?

This is more than a job—it’s a mission. While there may be trade-offs in compensation, what we offer is the chance to be part of something transformative. You’ll have ownership over impactful projects and the opportunity to work with a passionate team dedicated to changing lives through technology and innovation.

What You’ll Do:

• Review and resolve tracking inconsistencies, including issues with funnel analysis and data gaps.
• Audit the integration and configuration of Segment and BigQuery, ensuring accurate and complete data collection.
• Conduct a root cause analysis of past tracking issues and implement long-term solutions.
• Build, optimise, and document ETL pipelines to ensure accurate and reliable data flows.
• Enhance tracking schemas, event definitions, and data integration processes to support business needs.
• Collaborate with Product and Growth teams to create a unified tracking plan, ensuring alignment and consistency.
• Develop and enforce data governance standards, including naming conventions, event schemas, and processes for implementing tracking changes.
• Implement real-time monitoring and alerting systems to identify and resolve data anomalies proactively.
• Create robust processes for testing tracking updates in staging environments before production deployment.
• Provide training and documentation to key team members, enabling them to query and interpret data confidently.
• Evaluate and optimise existing tools like BigQuery and Segment for scalability and evolving business needs.
• Design solutions to accommodate new product features, platforms, and growth initiatives without disrupting existing data flows.

Who You Are:

• Strong expertise in data engineering, with a focus on BigQuery and Segment.
• Proficiency in SQL, data modelling, and ETL pipeline development.
• Knowledge of event tracking best practices, including debugging and optimisation for marketing funnels.
• Familiarity with data orchestration tools such as dbt or Apache Airflow.
• Strong understanding of data governance and quality assurance practices.

What We Offer:

• The chance to work on meaningful projects that have the potential to transform healthcare in Asia.
• A collaborative and innovative team culture where your contributions truly matter.
• Ownership over impactful projects and the freedom to explore cutting-edge technologies.

Why Join Us:

• Impact: Be part of something truly transformative—help lead the shift towards personalised healthcare in Asia.
• Ownership: Full responsibility over the engineering function and the freedom to shape technical direction.
• Equity: Share in the long-term success of the company.
• Flexibility: Work remotely, with occasional travel across Asia to collaborate with the team.
• Mission-Driven: Join a team that’s passionate, focused, and committed to making a real difference in healthcare.

Reporting Structure:

• Supervisor(s): Critical Facility Manager

Job Responsibilities:

1. Perform duty and/or shift duty roster to manage Data Centre operations, maintenance, troubleshooting, project rollout, and facilities related matters. This includes maintain and repair of infrastructure systems and critical facilities equipment.
2. Perform Data Centre monitoring and maintenance on infrastructure systems, critical facilities, and associated equipment. This includes raised floor environment, mechanical, electrical, emergency generators, fire/life safety systems and associated equipment.
3. Perform preventive and corrective support to scheduled or unscheduled maintenance on Data Centre infrastructure systems, critical facilities equipment and/or services.
4. Ensure all subcontractors deliver a quality and competent service and all contractual obligations are met.
5. Perform Data Centre and critical facilities work on environmental and management programs.
6. Perform equipment functionality test and data analysis.
7. Perform assets management duty. This includes maintaining of inventory, change and control programs, and purchase of parts and supplies.
8. Promptly respond and attend to incident and/or emergency situations. This includes fire, evacuation, equipment failure, etc.
9. Be the point of contact during significant events/incidents or multi-discipline technical escalations occurring within the specified sites.
10. Provide support, coordinate, and supervise Data Centre maintenance efforts. This includes coordination with internal and/or external parties, contractors, suppliers, and clients.
11. Provide standby support upon activation for shift duty stand-in and/or other coverage.
12. Conduct routine, sanity check and on-going assessment of Data Centre infrastructure systems and critical facilities operations.
13. Comprehend, analyse, interpret documentation. This include maintaining and updating of as-built drawings and schematic diagram.
14. Promote and maintaining the core Values of Engie.
15. Ensure professional image of Engie presented to clients and visitors at all times.
16. Comply and adhere to all regulated protocol and/or Company’s rules and regulation.
17. Perform other duties at time assigned by line managers.

Job Requirements:

1. Degree/Diploma in Electrical, Mechanical, or Equivalent experience.
2. Must be able to demonstrate a career showing continuous personal development with at least two years’ experience in Datacentre or 24/7 critical environment management.
3. Must be a certified Data Centre Professional or equivalent experience.
4. Good experience in 24/7 Datacentre and/or maintaining critical environments.
5. Able to perform standby or coverage of shift duty or on weekends/public holidays.
6. Preferably understand all the associated safety code related requirements relative to providing the service.
7. Experience with Health & Safety, Risk Assessments and Control Measures.
8. Detailed understanding and experience of the electrical and mechanical systems used in a Datacentre and commercial environment, including Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS systems, Battery banks, ATS/STS units, PDU/PMM units, ACMV, chilled water systems, Fire Alarm systems, and Fire Suppression systems (pre-action sprinklers).
9. Experience in operations management including team management and work scheduling.
10. Experience in managing escalation and emergency issues.
11. Experience in vendor management, ability to manage and progress monitoring to ensure objectives are achieve for outsourced support and projects.

Personal Attributes:

• Meticulous and have an eye for details with positive working attitude
• Organized and details-oriented, with a strong focus on accuracy
• Able to work under pressure and tight deadline

Other Information:

• Job Type: Full Time, Permanent
• Work week: 5 days
• Work location : Various location

Within data management office, we govern the use of data across the Group and provide guidance for data management and usage. This optimises the value of data to enable smarter, faster, and more accurate decision-making as well as improve operational efficiency. Above all, we ensure adherence to all data governance standards as determined by regulators.

In analytics transformation office, we help accelerate data monetization initiatives by empowering analytics transformation for the bank.

Job Responsibilities

This role reports to the Head of Data Discovery within the Enterprise Data Management (EDM) Team. Key responsibilities are:

· Project Planning and Tracking: represent Enterprise Data Management and work with the stakeholders to develop and manage project pipeline, project plan, ensuring that business objectives, timelines and milestones are met. Also ensure relevant project management artefacts and documentations are generated.

· Stakeholder Communication: facilitate effective communication among stakeholders, including business users, IT teams, and executives, to provide regular updates on project progress and address any concerns

· Risk Management: Identify potential risks and proactively develop mitigation strategies in collaborations with the project team to minimize disruptions and delays

· Change Management: Develop and execute change management strategies to promote user adoption. Be an agent of change and incubate data monetization culture and agile development methodology across the Bank’s business as well as stakeholders within DMO and the business

· Inquisitive: proactively understand overall business objective for data monetization initiatives as well as the end-to-end data landscape including systems, business process and data flows to support data monetization initiatives

Job Requirements

· Degree holder with 3 to 6 years of relevant working experience, with 2 years spent with Product, Analytics or Artificial/noBusiness Intelligence functions

· Experience in meeting facilitation and preparation of meeting notes

· Demonstrated ability to meet milestones, tight deadlines and communicate effectively on concurrent projects

· Hands on and creative problem-solving skills; project and time management skills

· Willingness to learn new technology and work in creating template, documents and increase efficiency of the department

· Knowledge of big data ecosystems (e.g. Hue, Hive, Impala), SQL, data warehousing, and data modelling a strong plus

· Good IT Skills, MS Suite including Sharepoint

· Inquisitive, pro-active in seeking solutions

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 3 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

Position: Operations Analyst (Banking)
Contract: 12 months
Location: Jurong East
Salary: $3,200 - $3,700

Essential Job Functions:

1. Provide end-to-end OTC transaction life-cycle reporting support for T&M derivatives products to fulfill regulatory reporting obligations.
2. Ensure data accuracy and timely reporting.
3. Ensure risk control, risk architecture, and completeness are adhered to.
4. Be data-driven, build, and measure TMO performance service, quality, and data analysis via DDOM (Data Driven Operating Model) Dashboards.
5. Review legacy processes and exception handling to eliminate inefficiencies and promote changes in behavior across FO & L&C.

Trade Repository (TR) Reporting:

1. Validate daily TR reports for House and/or Client Delegation.
2. Investigate discrepancies and perform root cause analysis.
3. Monitor report acknowledgment and investigate any rejected trades.
4. Review successfully submitted reports and ensure EOD completeness.
5. Engage in the development of TR Reporting (new, revised, and updated).
6. Stay up-to-date with regulatory updates.
7. Support NPA (New Product Agreement) & Lite (inclusive of PIR), review all NPAs related to TR, identify any deviations for execution, and monitor until launch and sign-offs.
8. Support delegate reporting for CFTC end-to-end, from issuing of SLA to tagging of systems and ensuring reporting obligations are met.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. Reg No: R23117785 (Lok Ding Hann)

Job purpose:

We are seeking a proactive and detail-oriented intern to assist the Data Protection Office (DPO) with various tasks in ensuring compliance with data protection regulations and support the Corporate Services Team with administrative and technological tasks as well as initiatives to enhance operational efficiency.

This internship is designed to provide a comprehensive learning experience for individuals interested in data protection, collaboration tools, and team operations. It offers the opportunity to develop valuable skills in privacy regulations, low-code development, and teamwork, while contributing to the organization’s efforts to safeguard information and optimize internal processes.

Key activities:

• Assist in maintaining data protection documentation, including policies, procedures, and personal data inventories;
• Support DPO in conducting data protection impact assessments (DPIAs) and compliance reviews;
• Assist in designing, testing and troubleshooting SharePoint forms and workflows;
• Collaborate with the team to identify and implement solutions for improved efficiency;
• Perform other ad hoc tasks to support the team operations;
• Provide administrative support to the team members.

Formal education:

• University or college degree or comparable
• Self-motivated and result-oriented
• Ability to interact with cross-functional teams
• Strong analytical and problem-solving skills
• Recent graduates with not more than 1 year of professional work experience (excluding internships)
• Basic knowledge of data protection regulations is a plus
• Singaporeans and Singapore PRs preferred

We are hiring top-tier data analyst/data engineers at the different level , 2yrs+ for our trading clients.

What you could expect:

• Dynamic regional team;
• Competitive compensation
• Growth potentials

Job Responsibilities:

• Manage the end-to-end data flow and used for trading flow.

Job Requirements:

• 2+ years of experience in a similar roles.
• Degree from a top-tier univerisities.
• Bacic programming skills in in Python and SQL.
• Strong English communication skills.

License No.22S1076 | EA Reg.: R2197956

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Quality Engineer/Analyst

Internal Code: A24122

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

• Assist with daily site inspections of all Mechanical & Engineering systems and technical equipment, including servicing and maintenance.
• Ensure the site's environmental conditions provide a safe work environment.
• React to Building Management System alarms, and complete emergency repairs as needed.
• Work with third-party vendors, ensuring compliance with company-developed processes, procedures, and all applicable laws and regulations.
• Alert management if subcontractor performance doesn’t meet all requirements per the Master Service Agreement.
• Complete planned preventative maintenance (PM) and reactive maintenance on all equipment.
• Check BMS for running and alarm conditions and respond to HVAC-related client problems.
• Building walkthroughs, taking meter readings from UPS, PDU’s and utilities.
• Provide fixes to facility and plant faults and defects.
• Complete assigned work according to established processes and procedures. Follow all safety processes and requirements and ensure al regulatory requirements and quality standards are met. Conduct routine quality checks for comprehensive maintenance records.
• Complete all required training to ensure successful completion of all job-related responsibilities.
• Use existing procedures to solve straightforward problems while having a limited opportunity to exercise discretion.
• Impact through clearly defined duties, methods, and tasks are described in detail.
• Deliver own output by following defined procedures and processes under close supervision and guidance.

What You’ll Need:

• Training in a Technical discipline having served an apprenticeship or equivalent with 1-2 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Ability to work shifts that may include weekends and holidays
• Must be able to Meet the physical requirements of this role.
• To effectively present information to an internal department, client, management and/or colleagues.
• Ability to follow basic work routines and standards in the application of work.
• Communication skills to exchange straightforward information.
• Working knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
• Strong organizational skills with an inquisitive mindset.
• Basic math skills. Ability to calculate simple figures such as percentages, discounts, and markups.

Responsibilities

• Build scalable and robust software systems using the Hadoop ecosystem, including Hive, HDFS, Yarn, and Spark.
• Develop and optimize data pipelines using PySpark, Scala, and HDFS file formats like Parquet and ORC.
• Create and manage CI/CD pipelines using Jenkins, Bitbucket, and Azure DevOps (ADO).
• Develop automation scripts for builds, deployments, and test frameworks.
• Work with data warehousing systems to handle large-scale datasets effectively.
• Monitor and optimize resource utilization with tools like Grafana and Control-M.
• Leverage scripting languages (Shell, Python) and tools like HortonWorks and SQL engines for efficient data processing.
• Incorporate Java and REST services development as needed for system integration.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
• HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
  

Skillset:

o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

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

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

Major Responsibilities

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

Ideal Experience

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

Meta seeks a highly motivated, well-organized, team player to join our Privacy policy team in the APAC region. The position will lead the Privacy Policy team work on strategic engagement and outreach with privacy, AI and data protection policy stakeholders in APAC.

The ideal candidate has a strong background in privacy and data protection, with a strong grasp on the privacy and AI developments in the key countries in the region. The candidate should also have deep knowledge of and relationships with regulators, key advocacy groups, policymakers, academics, and researchers in the region. The candidate should have excellent analytical skills and be a strong writer, with experience in developing materials for internal audiences as well as privacy regulators, policymakers and other relevant stakeholders. The candidate should also have a proven record of managing high-perfoming teams and interacting with senior management of a large organization. Finally, the candidate should be comfortable working in a fast-paced, cross-functional work environment and presenting to internal and external audiences. This is a great opportunity to work on novel privacy policy issues in an exciting environment.

Responsibilities

• Managing a team of privacy policy experts in the region.
• Lead engagement activities in the APAC region, working closely with the APAC policy teams, and presenting on behalf of Meta regarding privacy and AI issues, including in external meetings and conferences.
• Assess policy impact of legislative and regulatory proposals concerning privacy, Ai, data protection, data security and other related technology issues.
• Work with cross-functional teams to develop and articulate the company's positions on key privacy and data protection issues in the form of internal briefing documents , position papers, and related documents.
• Lead the design and execution of high impact privacy policy and AI strategies and programmatic initiatives in the region.

Minimum Qualifications

• 12+ years experience working on data protection and privacy legal and policy issues in a privacy regulator, law firm, company, non-profit or similar organization
• Bachelor's degree.
• Knowledge of regional privacy policy and legislative frameworks (including AI).
• Experience managing complex cross-functional projects and prioritizing multiple simultaneous projects.
• 5+ years Experience managing a team.
• Proven track record in engaging with privacy experts from civil society, academia, and government.
• Experience working directly with senior business executives and/or high-ranking government officials.
• Effective communication skills and collaborative work ethic.

Preferred Qualifications

• JD or Master’s degree or equivalent in relevant subject.
• Experience advising on or building consumer technology products and services
• Fluent in key regional languages.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

about company

I am currently working with a global IoT leader with strategic investments from Temasek Holdings. They deliver cutting-edge, sustainable IoT and AI technologies that power smart cities and industries worldwide.

Salary structure: Base + AWS. 3 rounds of interview to offer stage. 5 days in office at CBD.

about job

You are responsible for analyzing energy consumption data and developing automated solutions that enhance energy efficiency and sustainability. This role combines data analysis with AI-driven automation to identify patterns, predict energy needs, and implement proactive optimization measures. The ideal candidate will leverage advanced analytics, machine learning, and automation techniques to support organizational goals around energy conservation and cost savings. Gather and process large datasets from energy monitoring systems, IoT sensors, and other sources to create a comprehensive view of energy consumption.

skills and requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, Environmental Science, or a related field.

• Min 3 years of experience in energy data analysis, with a focus on AI and machine learning applications.

• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Knowledge of energy management principles, IoT data sources, and smart grid technology.

• Strong analytical skills with a proven ability to apply AI to complex energy datasets.

• Design, implement, and optimize machine learning models to predict energy demand, forecast costs, and identify anomalies in energy usage.

• Develop AI-powered algorithms for automated energy control and real-time optimization based on consumption trends and environmental data.

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

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

PURPOSE

• To support the refreshed Digital Strategy focusing on GenAI, AI and Modern Data Platform, a senior data product manager is strongly needed to lead the development and launch of new data/AI products typically for Data 360 service and Central Leads Management that meet the needs and expectations of the customers and the business.
• Work closely with the engineering, design, marketing, and sales teams to define the product vision, strategy, roadmap, and requirements.
• Manage shared service team (CTC, TIM, VTC) to deliver the data products timely with excellent quality.
• Conduct market research, user feedback, and data analysis to validate and prioritize the product decisions and measure the product performance.
• Drive group wide adoption for leads management tool and data 360 to deliver significant business value.

KEY ACCOUNTAIBILITIES

• Work with key stakeholders and business sponsors to address business initiatives according to priority and work out the product vision, strategy and roadmap.
• Collect business requirements, create and manage the product backlog and prioritize the features based on the business value and customer feedback.
• Manage the end-to-end project cycle, including developing business cases/charters, project plans, timelines, resource mobilization, cost and benefit analysis, risk mitigation, execution monitoring, and progress reporting/communication.
• Manage share service team (CTC, TIM, VTC) to deliver data products such as Data 360 and Central Leads Management system on schedule with high quality.
• Provide advice, counsel or facilitating services in business requirement analysis, solution design, drive adoption and monetisation, managing budget, project management and presentation to local management teams such as local CTO, group distribution function leader, group digital function leader.
• Coordinate and lead the product launch and go-to-market activities with the marketing and sales teams.
• Analyze and report the product performance, user behaviour, and feedback using various tools and metrics.
• Continuously test, iterate, and improve the product based on the user feedback and data insights.

QUALIFICATIONS / EXPERIENCE

• Bachelors or Masters in Computer Science, Engineering, Business, or related field
• 7+ years of experience as a product manager, product owner, or similar role in the financial industry. Insurance domain knowledge will be a plus.
• Strong experience for common data model design and data as service
• Good experience using business intelligence tools and grasp of data visualization best practices.
• Hands on CRM or Lead Management Solution will be an advantage.

KNOWLEDGE & TECHNICAL SKILLS

• Strong knowledge of the product development lifecycle and agile methodologies.
• Good understanding of AI/GenAI technologies and keen to leverage them in changing the way people feel about insurance.
• Excellent communication, presentation, and interpersonal skills.
• Common model design
• Leads management
• Technical acumen and understanding data pipelines, warehousing, ETL processes and data governance.
• Ability to understand business pain points and design solutions to help the business resolve the issues.
• Ability to work effectively with cross-functional teams and manage multiple projects and stakeholders.
• Ability to think strategically and creatively and solve complex problems.
• Ability to conduct market research, user research, and data analysis using various tools and methods.
• Passion for building user-centric and innovative products that create value for the customers and the business.

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

The Technical Lead will be a key member of the data engineering team. He/she will support the delivery team in designing technology solution to help address complex business and process challenges in client organisation. He/she will ensure the proper and smooth implementation of the technical design.

Job Responsibilities

· Collaborate with project team and client to determine business requirements and environment.

· Provide guidance and quality assurance of development-related project deliverables such as performance, scalability, usability, security, integration complexity and operational costs.

· Assist in proposal development, proof of concepts and provide proposal cost estimation.

· Engage stakeholders to explain the rationale of architecture’s selection, technology choice and integration solutions.

· Provide support and clarification to data engineering teams if there are queries on the technical specification.

· Identify opportunities to improve productivity and optimise / automate processes via the adoption of new technologies or other means.

· Help resolve technical problems as and when they arise

· Coach, develop and supervise team members.

Job Requirements:

· A minimum bachelor’s degree in Computer Science or related fields.

· Managed at least 2 to 3 end-to-end data warehouse / data lake / data visualisation implementation

· Possess 5 or more years of Enterprise Data Management experience.

· Proficient with at least one of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, Azure Data Factory, Data Warehouse, ETL Framework.

· Possess excellent knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau. Preferably possess a good knowledge of AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.

· Able to lead multiple teams and effectively work under pressure when there is an escalated demand in project lifecycle.

· Excellent stakeholder management and influencing skills covering colleagues, partners/vendors.

· Strong problem solving, quantitative and analytical abilities.

· Excellent communication, presentation, collaboration, and delegation skills.

· A client-centric, outcome driven and quality focused team player

Responsibilities

• Defines, develops or modifies application modules or enterprise-wide software systems using disciplined software development processes and makes modules production ready by moving them to libraries, completing forms, following procedures, completing version control documents
• Develop Hadoop and Web-Service based applications and components
• Interface with Users, BAs, and Developers to walk through data design
• Define comprehensive unit test coverage of data transformations
• Demonstrating analytical technical skills
• Should have basic knowledge in BSS data model specially CRM, OMS, Billing
• Be part of a team of Hadoop developers working on Big Data project with ample opportunity to grow professionally, functionally and technically
• Work with other groups to ensure smooth delivery with high standards and quality
• Understand requirements, propose and deliver superior solutions
• Write well-structured beautiful clean code.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume)
• Experience with Java or Big Data Technologies a plus
• Any big data experience with Hadoop, HDFS, cluster management
• 6 years' experience in designing & developing enterprise application solution for distributed systems
• Experience with Hive, Pig & Map Reduce and Hadoop ECO system Framework
• Experience with HBase, Talend, NoSQL databases-Experience Apache Spark or other streaming big data processing preferred.
• 3.5 years of exclusive experience in Hadoop and its components like HDFS, Apache Pig, Hive, Sqoop, Spark, Hbase, NIFI, Cassandra
• Extensive Experience in Setting Hadoop Cluster.
• Good working knowledge with Map Reduce and Apache Pig
• Involved in Design and Development of technical specifications using Hadoop technology
• Involved in writing the Pig scripts to reduce the job execution time
• Involved in developing the Hive Reports.
• Very well experienced in designing and developing both server side and client-side applications.
• Good knowledge and experience in Hadoop Administration.
• Installation and configuration of Hadoop and associated applications.
• Setting up Hadoop in various modes and integrating Hadoop Ecosystem with Hadoop.
• Exceptional ability to learn new concepts.

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

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations
• Some general insurance business knowledge

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company.

- Build an effective toolchain to improve development performance;

- Introduce new AI technologies to our online system, support billions of users all over the world;

- Improve the reliability of the system, manage the challenges of scale and complexity;

- Squeeze extreme performance from hardware and handle huge amount of requests;

- Research, design, and develop computer and network software or specialised utility programs;

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;

Qualifications

- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.

- Strong programming and coding experience with at least one modern language such as C/C++, Golang, Python

- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling)

- Strong analytical abilities and problem solving

- Good communication, self-motivation, engineering practice, documentation, etc.

- At least 1 year of relevant experience.

Preferred Qualifications

- Familiar with large-scale distributed systems like Spark and Elasticsearch;

- Familiar with the web technologies, such as Django / Flask / React.JS etc.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Position Summary:

We are looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful visualizations, and manage data workflows using Tableau, Databricks, and AWS. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.

Role and Responsibilities

• Develop, implement, and maintain data analytics solutions using Tableau, Databricks, and AWS.

• Create and manage interactive dashboards and reports to visualize complex data sets.

• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

• Perform data extraction, transformation, and loading (ETL) processes to ensure data integrity and accuracy.

• Conduct exploratory data analysis to identify trends, patterns, and insights.

• Optimize data workflows and processes for efficiency and scalability.

• Provide training and support to team members on data tools and best practices.

• Stay up-to-date with the latest trends and technologies in data analytics and visualization.

• Build robust and reproducible data ingest pipelines to collect, clean, harmonise, normalise, and consolidate data sources.

Requirements / Qualifications:

• Bachelor in Data Science, Computer Science, Information Technology, or a related field.

• 2 - 3years of experience in the relevant field

• No experience is also welcome, on job training provided!

• Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS.

• Strong proficiency in SQL and data manipulation languages.

• Experience with ETL processes and data pipeline development.

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.

• Ability to work independently and manage multiple projects simultaneously.

• Familiarity with healthcare data and regulations is a plus.

• Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.

Preferred Skills:

• Experience with Python or R for data analysis.

• Knowledge of machine learning techniques and tools.

• Ability to design and implement data models and data architecture.

• Certification in Tableau, Databricks, Sagemaker or AWS is a plus.

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

• Experience in cloud -based data platform.

• An understanding of finance data is a plus.

Position Summary / Project Description

This role is responsible for developing the overall strategy and implementation of the National Health IT Master Plan (HITMAP) in Singapore. We are looking for experienced Programme Manager to plan and deliver Healthcare Analytics programmes. The Programme Manager will be responsible for all components of programme including strategizing, planning and implementation.

Role and Responsibilities

He/she will also work with the delivery teams comprising project managers, change management specialists, business analysts and clinical subject matter experts to deliver the programme initiatives and projects.

· 1. Understand business needs and develop IT strategies and work-plan for a specific/group of business programmes in healthcare analytics domain.

· 2. Engage, influence, communicate and seek approval from programme sponsor(s) and stakeholders to support the programme strategies and plans.

· 3. Manage the programme scope, budget and schedule to deliver the desired programme outcomes.

· 4. Lead and drive the consultants and vendors in delivering the programme/project.

· 5. Oversee the implementation and delivery of the IT programme/projects in healthcare analytics domain.

· 6. Report timely on programme/project’s achievements, issues and progress.

· 7. Obtain endorsement of strategy and work-plan from programme sponsor with support from all stakeholders.

· 8. Lead and drive the programme and project teams (including consultants) towards successfully delivery of programme/projects.

9. On-time delivery of programme/projects.

· 10. Responsible to track and monitor programme and projects are delivered within approved budget.

11. Responsible to defined, monitored and achieved KPIs of programme and projects.

Requirements / Qualifications

· Minimum 10 years of working experience as a Programme Manager or Project Manager, preferably in healthcare IT industry or public services.

· Minimum 3 years of relevant experience in delivering end-to-end industry analytics solutions, from conceptualization to deployment, within the industry with either a consultancy or a technology company.

· Minimum Bachelor’s Degree in Informatics/Computer Studies/IT/Engineering or any other relevant fields.

· Demonstrated leadership capabilities in IT industry

· Proven problem analysis and problem solving skills.

· Good listening skills and an ability to ask questions and probe to uncover issues.

· Good interpersonal, communication and presentation skills

· Have a good understanding of business processes and needs in order to create value in a business context with business intelligence and insights.

· Good knowledge of various business/ enterprise/ clinical/ patient systems/applications and outputs within specific industry domains will be advantageous.

Responsibilities

• Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

• Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

• Design and develop database tables necessary along with the necessary constraints as per the requirement.

• Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

• Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

• Clean, validate, and transform data to conform to target schema and quality standards.

• Work with the Team to execute data quality improvement plans.

• Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements

• Degree in computer science, mathematics, or engineering

• 5-6 years experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Must be a team player and should have good communication skills to interact with client & team members.

Licence no: 12C6060

Job Description

• 3 to 5 years of working experience in IT industry.
• Hands-on experience in at least 1 AliCloud related project is a MUST. More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

Requirements

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to FPT team.
• Bachelor degree or above in IT and engineering, with relevant professional certificates.
• AliCloud related certification is a MUST.
• At least 1 other cloud (non AliCloud) certification will be preferred. More cloud certifications will be a big PLUS.

We are seeking a talented and motivated Data Scientist to join our analytics team, focusing on policy services and payments within the insurance sector. As a Data Scientist, you will analyze complex data sets related to policy administration, customer interactions, and payment transactions to provide actionable insights that drive our business strategies and decision-making processes.

This role will require you to demonstrate your strong analytical skills & ability to story tell key messages back to the business.

Responsibilities:

• Analyze large and complex data sets related to policy administration, payment transactions, customer demographics, policy renewals, and service interactions.
• Develop and implement predictive models and algorithms to improve policy retention, customer satisfaction, payment processing efficiency, and fraud detection.
• Collaborate with policy services, payments, underwriting, IT, and customer service teams to understand business requirements and translate them into analytical solutions.
• Perform data preprocessing, cleansing, and validation to ensure data quality and accuracy.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Use statistical techniques to interpret data and make recommendations for process improvements and strategic initiatives.
• Monitor policy service and payment system performance and identify opportunities for optimization and enhancement.
• Stay up-to-date with the latest industry trends and advancements in data science, analytics, policy services, and payment technologies.
• Document and present analytical methodologies and findings to both technical and non-technical audiences.

Requirements:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
• 4+ years’ experience as a Data Analyst or similar role is preferred.
• Proven experience as a Data Scientist, preferably in the insurance industry or with policy services and payment systems.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with ETL tools, data visualization tools (e.g., Tableau or PowerBI) and statistical analysis (e.g., hypothesis testing, regression, predictive analytics) is a must.
• Strong analytical and problem-solving skills with attention to detail.
• Knowledge of machine learning techniques and algorithms.
• Familiarity with insurance data, policy administration systems, and payment processing is a plus.
• Ability to draw insights from data to provide practical solutions.
• Ability to explain technical concepts in a clear and succinct manner to various stakeholders.
• Being able to work independently once the tasks are defined.
• Being pro-active in identifying ways of improving how we operate as a team.
• Willing to explore data science projects and learn new technologies

Job Responsibilities:

- Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.

- Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.

- Train and fine-tune ML models using appropriate algorithms, techniques, and tools.

- Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.

- Work closely with software engineers and DevOps teams to deploy models in production environments.

- Implement APIs and integrate models into existing systems to enable real-time decision-making.

- Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.

- Continuously refine models and algorithms based on user feedback and performance metrics.

- Perform exploratory data analysis to uncover trends and insights.

- Use statistical methods and visualization techniques to communicate findings to stakeholders.

- Stay updated on advancements in ML and artificial intelligence (AI).

- Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

- At least 2 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.

- Familiarity with Large Language Models and Generative AI technologies is a plus.

- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Strong understanding of statistical analysis, probability theory, and hypothesis testing.

- Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

- Strong analytical and problem-solving skills with the ability to break down complex problems.

- Excellent communication skills to articulate technical concepts to diverse stakeholders.

- Proven ability to collaborate in a team environment and manage multiple priorities effectively.

- Eagerness to learn and adapt to new tools, technologies, and methodologies.

- Commitment to staying updated on the latest trends and innovations in ML and AI.

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)