Total 846 data entry clerk job vacancies in Information Technology category

Job Title: AI Data Associate
Working Location: Alexandra Technopark
Project Period: Jun to Aug (1-2 days per month)

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Indonesian (reading, writing, and comprehension) is required to review and annotate Indonesian-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

About the role

Join a dynamic team where you will leverage your analytical skills to drive actionable insights through data analysis and visualization. Collaborate with stakeholders to shape data-driven strategies that enhance business performance.

Key responsibilities

• Design and implement methodologies for data collection, ensuring data quality through sanity checks.

• Conduct comprehensive data analysis using advanced techniques to extract insights and identify trends.

• Develop and present dashboards, reports, and visualizations that effectively communicate insights to various stakeholders.

• Collaborate with internal and external stakeholders to discern their analytical requirements and translate data into actionable recommendations.

• Stay abreast of industry trends and best practices in data analytics to enhance strategic insights.

• Work alongside the wider product and marketing team to create digital-driven marketing plans, including content and reporting.

• Manage relationships with agencies to ensure timely delivery of data reports and insights.

About you

• Bachelor's Degree in eCommerce/Digital Analytics, Information Systems, Computer Science, or a related field.

• Minimum of 2 years of experience in data analytics.

• Strong knowledge of data mining, analysis, and visualization techniques.

• Excellent analytical and problem-solving abilities with a strong attention to detail.

• Strong communication and presentation skills to clearly convey complex information to non-technical audiences.

• Ability to work independently and within a team in a fast-paced environment.

• Familiarity with eCommerce platforms, web analytics, and UX-UI tools (such as Google Analytics and Mouseflow).

• Proficiency in Excel, Power BI, or equivalent tools.

• Demonstrated ability to manage multiple projects and priorities effectively, while maintaining a balance between detail and the broader view.

• A passion for innovation in the Digital/eCommerce space and a keen interest in data analysis.

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified 

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd) 

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

• Strong Learning & Career Growth Opportunities
• Opportunity to work with large-scale/real-time data

About Our Client

The hiring organisation is a well-established company within the technology and telecoms sector, known for its innovative solutions and commitment to excellence. They operate on a global scale and are dedicated to fostering a collaborative and forward-thinking environment.

Job Description

• Develop and maintain scalable and efficient data pipelines and workflows.
• Collaborate with cross-functional teams to identify and address data requirements.
• Optimise data architecture to ensure performance and reliability of systems.
• Monitor and troubleshoot data infrastructure to ensure smooth operations.
• Implement data security and governance best practices.
• Support data integration from various sources to drive business insights.
• Create and maintain technical documentation for data solutions.
• Stay updated on emerging trends and technologies in the technology industry.

The Successful Applicant

A successful Data Engineer should have:

• A strong educational background in a relevant technical field.
• Proficiency in data engineering tools and programming languages.
• Experience with database management systems and data modelling.
• Knowledge of cloud-based data platforms and solutions.
• Excellent problem-solving skills and attention to detail.
• The ability to work effectively in a team-oriented environment.

What's on Offer

• Opportunity to work on meaningful projects in the technology industry.
• Exposure to a collaborative and innovative work culture.
• Temporary role offering flexibility and career development.

If you are passionate about data engineering and eager to contribute to a leading organisation, we encourage you to apply today

Contact

Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

Quote job ref

JN-062026-7039991

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

Brief Summary:
We are seeking a skilled AI Data Engineer to design and enhance our data infrastructure, ensuring robust and scalable AI-driven solutions that empower business performance and innovation.

Responsibilities:

• Lead the architecture, operation, and ongoing enhancement of the Data Lake and AI platform.

• Develop and manage scalable data pipelines utilizing cloud-native technologies.

• Monitor and ensure data quality, governance, lineage, and platform security.

• Set standards and best practices for data management processes.

• Create and deploy AI Agents and GenAI-driven solutions.

• Implement Retrieval-Augmented Generation architectures to leverage organizational knowledge.

• Design workflows that streamline business processes and enhance productivity.

• Assess new AI technologies and propose enhancements to organizational capabilities.

Requirements:

• Bachelor's degree in a relevant field.

• Proven experience in ETL/ELT pipeline development with strong SQL skills for large datasets.

• Proficiency in programming with Python or similar languages for backend development.

• Familiarity with LLMs and RAG architecture.

• Experience with relational and NoSQL databases.

• Knowledge of containerization technologies such as Docker and basic understanding of AWS.

• Strong analytical and problem-solving skills, with the ability to operate in dynamic environments.

• Experience with CI/CD practices for data applications is advantageous.

• Familiarity with streaming data technologies and understanding of machine learning workflows is a plus.

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

DBiz is looking for a Data and Artificial Intelligence Scientist to join our team in designing and developing reusable, scalable, and cost-effective cloud-native data and AI products. You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs. The role offers opportunities to participate in multiple projects with industry technology partners, developing data- and AI-driven products and services that have a significant positive impact.

You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs

Primary Responsibilities

• Collaborate with product owners, engineering teams, and industry partners throughout the product development lifecycle, including concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, and product end-of-life
• Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry
• Develop and deploy software components based on microservices architecture
• Participate in agile, secure software development processes and best practices, including documentation of user requirements and software code during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity, and operational costs are met

Key Requirements

• Bachelor’s degree in engineering, computer engineering, computer science, mathematics, statistics, or equivalent
• At least 1.5 years of working experience in a relevant field
• Strong technical knowledge in AI.
• Good understanding of the latest research and technologies in AI for production deployment
• Strong coding experience in programming languages such as Python and/or C++.
• Experience working with libraries for data manipulation, visualization, machine learning, and reporting
• Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, Torch)
• Experience with prompt engineering for models such as OpenAI and Clau
• Hands-on experience developing and deploying AI agents, Retrieval-Augmented Generation (RAG), and vector/graph databases
• Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformation
• Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)
• Team player with the ability to work in a cross-functional team and excellent interpersonal skills
• Strong verbal and written communication skills, as well as strong presentation and engagement abilities

Job Objectives

Analyze and translate business, regulatory, and analytics requirements into scalable data and solution designs. Drive effective stakeholder communication, effort estimation, and validation processes, while enabling data architectures and curation strategies that support reporting, analytics, and AI/NLP-driven use cases.

Key Responsibilities

• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases
• Analyze business and regulatory requirements and translate them into scalable solution designs.
• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
• Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 9+ years of professional experience
• Requirement Analysis & Solution Design
• Data Architecture & Data Modeling
• AI / NLP Use Case Enablement
• Testing & Data Validation
• Stakeholder Communication
• Effort Estimation & Planning

Overall Job Objectives

We are looking for highly motivated and passionate people to provide warm, friendly and exceptional food & beverage service standards within INITIA Group F&B Brands . He / She will be assisting the outlet incharge to boost the sales of the Outlet while delivering an excellent service for customer satisfaction.

Core Responsibilities 

• Host & greet guests in a warm and friendly manner

• Well-versed with outlet’s products and services; can sell products when appropriate

• Provide high standard of service through active interaction with guests

• Adhere to the operations and procedures; and suggest improvements for the betterment

• Well-groom and represent the brands.

• Understand POS/ordering to ensure smooth operation.

• Take note of issues raised by restaurant/bar guests and escalate issues to immediate superior for resolution as soon as possible

• Assist Outlet incharge to promote specific menu/services.

Job Specifications 

• No experience / fresh entry welcome to apply!

• Prefer candidate who with excellent communication skills with good command of Mandarin and English

• Able to work independently and demonstrate POSITIVE energy

• Friendly, outgoing and dedicated to outstanding customer service

• Minimum working days are 1 weekday and 1 weekend each

• Work Visa will not be provided by the company

Key Deliverables

• Greet and host guests warmly while ensuring exceptional customer service and satisfaction.

• Be knowledgeable about the outlet’s products/services and assist in promoting and upselling them.

• Maintain smooth operations by adhering to procedures and handling POS/ordering systems effectively.

• Escalate guest issues to superiors promptly and suggest service improvements where possible.

• Represent the brand with professional grooming and positive interaction.

Benefits of the role 

• Career Progression

• Working location will be premium location at Orchard area

• Collaborative and inclusive work environment that values creativity and innovation.

• Opportunity to work on diverse projects across various industries.

INITIA GROUP is the biggest brand concept leader in Singapore & Malaysia. We have been in the beauty and F&B industry for years and are now in Art, Retail, and Photo Studios. We are a fast-paced growing company, bringing all unique and on-trend concepts. We have a lot of expansions going on and we need additional talents in our growing family.

.

If you’re excited about our company’s vision for this position and want to start the path of becoming one of our future leaders, we’d like to hear from you.

.

You may visit our website to learn more about us: https://initia.sg/

APPLY NOW! 

Position Summary:

We are seeking a highly skilled and motivated Senior Data Engineer to join our team and play a crucial role in building and maintaining our common unified framework, data pipelines, data models, data products, and data engineering tooling.

Position Responsibilities:

• Design, develop, and maintain a common unified data framework that enables seamless integration of data from various sources and systems.

• Create and optimize data pipelines for ingesting, processing, transforming, and storing large volumes of structured and unstructured data.

• Work closely with data scientists and analysts to understand their data requirements and translate them into robust data models.

• Develop and maintain data engineering tooling to improve data ingestion, data quality, data monitoring, and data governance processes.

• Troubleshoot and resolve data pipeline and data-related issues to ensure uninterrupted data flow.

• Monitor data pipeline performance, identify bottlenecks, and optimize data processing and storage for efficiency.

• Evaluate and integrate third-party data tools and technologies to enhance the data engineering capabilities of the organization.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position Requirements:

• Proficiency in any object oriented or/and functional programming languages such as Python, Scala, or Java for data processing and data manipulation.

• Solid understanding of data quality, data governance, security, and lineage concepts.

• Strong ability to troubleshoot data-related issues effectively.

• Excellent communication and collaboration skills to work effectively with cross-functional teams.

• Demonstrated passion for data engineering, automation, and continuous learning

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

Preferred Experience/Education/Skills:

• Bachelor's or master's degree in computer science, Engineering, or a related field.

• At least 6 years of experience working as a Data Engineer with a proven track record in designing and building production grade data pipelines and data models.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

• Knowledge of C# web development using Microsoft .NET would be advantageous.

• Attached to Private Wealth Department
• Create and maintain client static data in the system
• Scanning and archiving of client onboarding and periodic review documentation
• Perform mark-to-market pricing on securities
• Create and maintain asset static data in the system
• Other miscellaneous administrative role within the team

Joy Yeow Zhi Qian
(CEI Registration No: R2096261)
Recruit Express Pte Ltd (EA Licence No: 99C4599)

Position:                          Data Processor (CAD)

Department :                  Hydrographic Survey Operations

About the Role

We are seeking a skilled and detail-oriented Data Processor (CAD) to join our Hydrographic Survey team. The successful candidate will be responsible for processing hydrographic and geospatial survey data, preparing CAD deliverables, ensuring data quality, and supporting offshore and nearshore survey projects.

Key Responsibilities

·      Process hydrographic survey data acquired from multibeam echo sounders, single beam echo sounders, side-scan sonar, motion sensors, and other survey equipment.

·      Prepare bathymetric charts, seabed maps, survey plans, profiles, and as-built drawings using AutoCAD and related software.

·      Perform data cleaning, validation, quality control, and quality assurance checks.

·      Generate survey deliverables in accordance with client specifications and industry standards.

·      Maintain survey databases, project files, and document control records.

·      Assist in the preparation of technical reports, charts, and project submissions.

·      Coordinate with Hydrographic Surveyors, Party Chiefs, and Operations Manager to ensure timely delivery of project outputs.

·      Support offshore and nearshore survey projects by processing and interpreting survey data.

·      Maintain processing records, logs, and documentation.

·      Ensure compliance with company QHSE and ISO requirements.

Requirements

·      Diploma or Degree in Surveying, Geomatics, Geospatial Science, Engineering, GIS, or a related discipline.

·      Minimum 2 years of experience in survey data processing, CAD drafting, or hydrographic survey operations.

·      Proficiency in AutoCAD.

·      Experience with hydrographic processing software such as Qimera, Terramodel, Qinsy, ArcGIS, or similar software is an advantage.

·      Knowledge of hydrographic survey principles and bathymetric data processing.

·      Familiarity with IHO standards and offshore survey deliverables is preferred.

·      Strong attention to detail and analytical skills.

·      Ability to work independently and meet project deadlines.

·      Good communication and teamwork skills.

Preferred Experience

·      Hydrographic Survey and Offshore Survey projects.

·      Bathymetric data processing and chart production.

·      GIS and geospatial data management.

·      Offshore construction support, dredging, cabler route, pipeline route, or port development projects.

What We Offer

·      Competitive salary and benefits package.

·      Training and career development opportunities.

·      Exposure to local and international marine survey projects.

·      Opportunity to work with advanced hydrographic and geospatial technologies.

Interested applicants are invited to submit their updated resume, expected salary, and availability for consideration. Only short listed candidate will be notified.

Fresh graduates with strong AutoCAD and GIS skills are encouraged to apply.

Meta designs, builds, leases and operates innovative and efficient data centers. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring capacity availability, speed to market, risk management, flexibility, and capital and operational cost efficiency. Meta is seeking an experienced, organized and driven development (program) manager to join the Data Center Site Development team and help build our rapidly scaling data center portfolio.

A successful Development Manager candidate demonstrates the ability to think both analytically and strategically, to dive into the details and also assess projects from a global view, and to develop creative solutions and navigate the challenges that accompany projects of large magnitude and scale. The Development Manager is also an experienced project manager who communicates effectively, forms partnerships, and influences and drives desired outcomes with internal and external stakeholders.

Responsibilities

• Site Evaluation & Selection
• Evaluate opportunities for new data center sites, campus expansions, and strategic land acquisitions by conducting market assessments, including analysis of power availability, fiber connectivity, labor markets, land costs, tax environments, and natural hazard exposure
• Lead the diligence and development process to vet prospective sites and assess site risks and opportunities by analyzing regional and site-specific information pertaining to:
• Permitting and land-use data
• Federal, state, and local tax structures, incentive programs, abatement opportunities, enterprise zone designations, and economic development agreements
• Energy availability, cost, and reliability — including renewable energy procurement pathways, grid capacity, interconnection timelines, and utility rate structures — as well as water supply, capacity, and long-term sustainability
• Natural hazard, floodplain, seismic, and climatological data
• Legal, physical risk, and financial implications, including title encumbrances, easement constraints, environmental liabilities, and geotechnical conditions
• Develop and maintain site evaluation scorecards and comparative frameworks that enable data-driven decision-making across multiple candidate locations
• Conduct preliminary desktop and in-person site visits to validate data findings and assess physical site conditions, access, and surrounding land use compatibility
• Regulatory & Permitting
• Facilitate compliance efforts related to real estate, land use, and utility regulatory matters
• Facilitate application and management of environmental permitting processes, including preparation of environmental impact assessments, stormwater management plans, wetland delineation reviews, air quality permits, noise studies, and endangered species consultations
• Facilitate interpretation of regulations and assess their impact on Meta's data center footprint, operations, and future expansion plans
• Monitor legislative and policy developments related to energy, water, land use, and data center operations, proactively identifying risks and opportunities for Meta's portfolio
• Ensure ongoing compliance with all conditions of approval, permit requirements, and development agreements throughout the construction and operational lifecycle of each site
• Utility & Infrastructure Negotiations
• Facilitate negotiations with electric utility companies to secure reliable, cost-effective power supply agreements, including terms related to capacity, redundancy, rate structures, renewable energy commitments, interconnection timelines, and infrastructure cost-sharing
• Facilitate negotiations with water and wastewater utility providers to establish supply agreements, secure adequate capacity for cooling and operational needs, and ensure compliance with discharge and conservation requirements
• Maintain strong working relationships with utility planning and engineering teams to stay ahead of infrastructure constraints and future capacity limitations
• Advocate for infrastructure improvements or upgrades necessary to support data center development, including transmission line extensions, substation upgrades, and water main improvements
• Stakeholder coordination & communication:
• Take the lead role in organizing cross-functional communications and tracking progress toward on-time delivery of projects by key internal and external stakeholders in support of site selection and development efforts
• Work closely with the Site Selection Manager and other key project team members to ensure alignment among all internal stakeholders and to identify creative, efficient ways to overcome obstacles in the site development process
• Coordinate cross-functional responses to external parties such as government authorities, utility companies, regulatory bodies, industry associations, economic development organizations, and community groups
• Serve as the primary liaison between internal teams and external consultants (land-use attorneys, environmental engineers, civil engineers, lobbyists, and real estate brokers) to ensure deliverables are completed on time and to specification
• Facilitate regular project status meetings, maintain action item trackers, and produce executive-level progress reports for leadership review
• Strategy & Portfolio Management
• Support the development of Meta's near-term and long-term data center location strategy and leased portfolio plan
• Support the preparation of project recommendations, business cases, and investment proposals for presentation to senior management for approval
• Support a portfolio of existing sites under construction or in operation to facilitate on-time and quality delivery
• Track and monitor ongoing site development activities, including agreement management, milestone tracking, financial obligation compliance, and renewal/amendment negotiations
• Maintain a comprehensive database of site-specific entitlements, permits, agreements, and regulatory commitments for all sites within the assigned portfolio
• Process Improvement & Tools
• Develop scalable, efficient tools and processes to improve delivery, communication, and knowledge management for data center site development activity
• Create and maintain standardized templates, checklists, and workflows for site evaluation, permitting, and stakeholder engagement
• Identify opportunities to leverage technology to enhance team productivity and decision-making
• Document lessons learned from completed projects and incorporate best practices into future development activities
• This role requires 25-50% travel

Minimum Qualifications

• Bachelor's degree in Real Estate, Engineering, Computer Science, Operations or Business
• 5+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Experience in managing multiple projects and coordinating with internal staff, external consultants, vendors, and other stakeholders across multiple time zones
• Experience with a range of project management tools and software, (e.g., Google Suite, Excel, PowerPoint, project management software, etc.)

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 7+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Advanced / Master’s degree in the academic fields listed above
• 7+ years of experience with evaluation and planning for land use diligence, power and water utilities, cooling technology, site development, entitlements, permitting

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.

• Build Scalable Data Solutions
• Drive Impact Through Data

About Our Client

This organisation is a well-established player in the insurance sector, known for its focus on technology-driven solutions. With a strong presence in the industry, it prioritises innovation and efficiency to deliver exceptional services to its customers.

Job Description

• Oversee day-to-day data operations to ensure seamless functionality and compliance.
• Collaborate with cross-functional teams to address data-related challenges and implement solutions.
• Monitor and maintain data quality, accuracy, and integrity across platforms.
• Develop and optimise workflows to enhance operational efficiency.
• Generate reports and insights for stakeholders, highlighting key metrics and trends.
• Ensure adherence to industry regulations and internal governance policies.
• Provide leadership and support to the data operations team.
• Identify opportunities for process improvements and drive their implementation.

The Successful Applicant

A successful Data BAU Lead should have:

• Relevant qualifications in data management, technology, or a related field.
• Experience in managing data operations within the insurance industry.
• Strong analytical skills and a keen eye for detail.
• Proficiency in data tools and technologies relevant to the role.
• Proven ability to lead and manage teams effectively.
• Excellent communication and stakeholder management skills.
• Knowledge of compliance requirements within the insurance sector.
• At least 8+ years of Data Engineer Experience
• Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
• At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.
• 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred)

What's on Offer

• Temporary role offering valuable experience in the insurance industry.
• Opportunity to work in a technology-driven environment.
• Exposure to key stakeholders and cross-functional collaboration.

If you are ready to take on the challenge of a Data BAU Lead role in the insurance sector, apply now to join this innovative tea

Contact

Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

Quote job ref

JN-062026-7039066

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

About the Role

We are looking for a technically strong and analytically driven Data Scientist to design, build, and maintain end-to-end data and AI/ML solutions.

You will work across the full data lifecycle — from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

What You Will Do

Data Engineering & AI/ML Development

• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms

Project & Product Management

• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle — from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams

Stakeholder Collaboration & Innovation

• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies — particularly Generative AI and LLM applications

What We Are Looking For

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development

• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques — data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only

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All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781