Total 1,212 data entry job vacancies in Information Technology category in Singapore

Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Engineer

Scope of Work:
Key Responsibilities

• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

Qualifications:

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.

---------------------------------------------------------------------------------------------------------------------------------------------

Interested applicants can also email CV at asmita@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Engineer”

Only shortlisted candidates will be notified.

---------------------------------------------------------------------------------------------------------------------------------------------

EA License Number: 10C3636
EA Personnel Name: Chauhan, Asmita
EA Personnel Registration Number: R1980706

By applying for this role, you have read and acknowledge the Data Privacy statement - http://www.nsearchglobal.com/data-protection-notice/

We are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that enable analytics, reporting, and data-driven decision-making. The role involves working closely with business stakeholders, data analysts, and technical teams to ensure reliable, high-quality data platforms.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes
• Build and optimize data warehouses, data lakes, and data marts
• Ensure data accuracy, consistency, reliability, and availability
• Perform data modelling to support reporting and analytical requirements
• Monitor, troubleshoot, and optimize data workflows for performance and scalability
• Implement data quality checks, validation, and governance standards
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Create and maintain technical documentation

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
• Minimum 3–6 years of experience in data engineering or related roles
• Strong proficiency in SQL and relational databases
• Experience with ETL/ELT tools and data integration frameworks
• Solid understanding of data modelling and data warehousing concepts
• Strong analytical and problem-solving skills
• Good communication skills and ability to work in a team environment

Technical Skills (Preferred)

• Programming experience in Python, Java, or Scala
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with big data technologies (e.g. Spark, Kafka, Hadoop)
• Exposure to data orchestration tools (e.g. Airflow)
• Experience with CI/CD pipelines and version control tools (Git)
• Knowledge of Agile / Scrum methodologies

MRI-Simmons is seeking an Automation Engineer with hands-on ability in designing, developing, and implementing automated tests using Playwright for our web applications. The ideal candidate will be comfortable collaborating with cross-functional teams to ensure quality and reliability of all application features/functions.

• Test Automation Development: Design, develop, and maintain automated test scripts using Playwright to validate the functionality of web applications.

• Test Planning: Collaborate with QA analysts and developers to understand requirements and develop comprehensive test plans and strategies.

• Execution and Reporting: Execute automated test scripts, analyze test results, and report defects using appropriate tools and methodologies.

• Continuous Integration: Integrate automated tests into CI/CD pipelines for continuous testing and deployment. • Test Framework Maintenance: Maintain and enhance the test automation framework to improve efficiency, reliability, and scalability.

• Code Reviews: Participate in code reviews to ensure test scripts are well-written, efficient, and follow coding best practices.

• Documentation: Create and maintain technical documentation related to test automation processes, frameworks, and scripts.

• Collaboration: Work closely with developers, QA analysts, and other stakeholders to identify testing requirements and ensure timely delivery of high-quality software.

• MNC Company
• Basic $3000 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Kallang
• Working day: Monday to Friday
• Working hours: 9am to 6.15pm

Job Responsibilities:

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and company own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
• Other ad hoc duties as assigned

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field
• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Location: Paya Lebar / Punggol Digital District / Mapletree Business City

Working Hours: Office Hours

6 Months Contract

Job Description:

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.
• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.
• Translate business data requirements into technical specifications and scalable solutions.
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Design and implement secure, cloud-based data infrastructure and access mechanisms.
• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.
• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.
• Collaborate with data stewards to enforce data governance, quality, and security policies.
• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.
• Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices.
• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements:

• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related disciplines.

• 5-10years of experience in data engineering, cloud infrastructure, or platform engineering.
• Deep understanding of data system design, data structures, algorithms, and data architecture modelling.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Proficiency in Python and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Familiarity with CI/CD pipelines and infrastructure-as-code practices.
• Experience with Databricks / Snowflake / Denodo and implementing batch/real-time data pipelines.
• Strong knowledge of data governance, security, and privacy (especially in public sector contexts).
• Exceptional communication and stakeholder management skills.
• Proven ability to mentor and develop future technical leaders.

EA License No.: 96C4864

Reg No.: R25128798 HUANG QIMENG

Contract Position Title: Data Assistant

•  Clean, update, and de-duplicate contact and company records in HubSpot
•  Perform accurate data entry and bulk uploads into HubSpot
•  Validate data completeness, accuracy, and consistency across records
•  Flag data gaps, inconsistencies, or system issues to the team
•  Support basic reporting and data extraction when required
•  Assist in processing membership applications and updates
•  Coordinate with internal teams on incomplete or unclear submissions
•  Maintain proper data documentation and audit trails
•  Provide administrative support to the team as required

Requirements

•  Comfortable working with CRM systems (HubSpot preferred)

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

• Work Location - Thomson, Central Region
• Working Hours - Mon to Thurs 8.30am - 6pm, Fri 8.30am - 5.30pm
• Monthly Salary - $3160
• Govt Agency, 12 months contract

Job Scope:

• Collect, analyse, and manage data across programmes
• Support process improvements, research, and policy implementation
• Maintain databases, track fund utilisation, and manage programme referrals
• Develop and maintain Power BI dashboards, including data cleaning and troubleshooting
• Liaise with stakeholders to support placements and referrals
• Assist with events and provide administrative support as required

Requirements:

• Degree in a relevant field
• 1–2 years of experience in an administrative, operations, or data-related role preferred
• Proficient in Power BI, Microsoft Excel, Word, and PowerPoint
• Strong analytical, organisational, and problem-solving skills

Interested candidates, kindly email your resume to: zuli.ng@tg-hr.com

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

Job Title: Data Engineer
Duration: 6 months
Location:

Responsibilities

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.
• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.
• Translate business data requirements into technical specifications and scalable solutions.
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Design and implement secure, cloud-based data infrastructure and access mechanisms.
• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.
• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.
• Collaborate with data stewards to enforce data governance, quality, and security policies.
• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.
• Develop standardized approaches for assessments, discovery, and solutioning grounded in GovTech best practices.
• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Qualifications

• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related disciplines.
• 5-10 years of experience indata engineering, cloud infrastructure, or platform engineering.
• Deep understanding of data system design, data structures, algorithms, and data architecture modelling.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Proficiency in Python and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Familiarity with CI/CD pipelines and infrastructure-as-code practices.
• Experience with Databricks / Snowflake / Denodo and implementing batch/real-time data pipelines.
• Strong knowledge of data governance, security, and privacy (especially in public sector contexts).
• Exceptional communication and stakeholder management skills.
• Proven ability to mentor and develop future technical leaders.

Apply Now via MyCareersFuture
Only qualified candidates are contacted
----

By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at https://bgc-group.com/notice-for-job-applicants

In Ref: SS – JO-JO-28507
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

Job Responsibilities:

• Support clinical departments in identifying and applying data analytics for operational insights
• Assist in analysing financial and operational data to support decision-making
• Prepare regular reports on performance, workload trends, and service impact
• Develop and maintain dashboards and templates for reporting and analysis
• Extract, transform, and analyse data from various sources
• Support creation and optimisation of service and charge codes
• Monitor performance metrics and track outcomes of initiatives
• Automate reporting processes and improve data workflows where possible
• Collaborate with stakeholders to provide insights and recommendations
• Perform other duties as assigned

Requirements:

• Degree in Accounting, Finance, Business, Data Science, Statistics, or related field
• Proficient in SQL, Python, and Microsoft Excel (advanced level)
• Experience with data visualisation tools such as Tableau or similar platforms
• Strong analytical and problem-solving skills

Interested candidates are invited to email your resume to:

jen.ooi@recruitexpress.com.sg
Jenalyn Ooi Huai Sian (R1765551)
Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Job Description:

• Responsible for analyzing the organization and designing its processes and systems.
• Assess the business model and its integration with technology, gather and synthesize information, and identify customer requirements.
• Define the future state and/or business solution.
• Expected to be an SME, collaborate and manage the team to perform, and make team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for your immediate team and across multiple teams.

Requirements:

• Experience in Data Migration and conversion of data.
• Good in SQL scripts.
• Basic SAP Debugging.
• Healthcare industry knowledge will be advantageous.
• Good in Stakeholder handling.
• Business Process Analysis Tools proficiency is required.
• Business Model Strategy, Business Process Design, and Requirements Analysis proficiency are recommended.

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making. The successful candidate will work closely with data scientists, analysts, and application teams to ensure reliable, secure, and high-performing data solutions across the organisation.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and ETL/ELT workflows for structured and unstructured data
• Architect and manage data warehouses, data lakes, and data marts to support analytics and reporting needs
• Optimize data models for performance, scalability, and reliability
• Ensure data quality, integrity, governance, and security standards are met
• Collaborate with business stakeholders, data scientists, and analysts to translate requirements into technical solutions
• Lead troubleshooting and performance tuning of data pipelines and platforms
• Implement monitoring, logging, and alerting for data workflows
• Mentor junior data engineers and provide technical guidance on best practices
• Contribute to architecture discussions, technical standards, and documentation

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
• Minimum 5–8 years of hands-on experience in data engineering or related roles
• Strong proficiency in SQL and data modelling
• Solid experience with ETL/ELT frameworks and data orchestration tools
• Proven experience building and maintaining large-scale data platforms
• Strong analytical, problem-solving, and communication skills
• Ability to work independently and collaborate within cross-functional teams

Technical Skills (Preferred)

• Programming experience in Python, Java, or Scala
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with data warehousing technologies (e.g. Snowflake, BigQuery, Redshift)
• Familiarity with big data technologies (e.g. Spark, Hadoop, Kafka)
• Experience with CI/CD, version control (Git), and Infrastructure as Code (IaC)
• Knowledge of data governance, security, and compliance standards
• Experience working in Agile / DevOps environments

Nice to Have

• Exposure to data visualization or BI tools (e.g. Power BI, Tableau)
• Experience supporting machine learning or advanced analytics workloads
• Prior experience in regulated or large enterprise environments

Work location: Downtown
Working hours: Monday to Friday office hours
Salary: up to $4500 per month

3 months contract (subject to extension)

Job Scope:

• Digital Operations Management:
• Execute daily website content uploads, updates, and maintenance
• Process content update requests from internal teams and external stakeholders
• Coordinate event approval workflows ensuring compliance with established criteria and standards
• Conduct comprehensive quality assurance checks on all files and content before publication
• Monitor published content for accuracy, consistency, and currency of information
• Analytics and Performance Reporting:
• Extract and compile key performance metrics for weekly target performance reports with accurate data delivery to stakeholders
• Support trend analysis to identify patterns and insights from performance datasets
• Collaborate with marketing teams to put together reports for campaign performance and funnel analysis

Requirements:

• Minimum Diploma in any field
• At least 3 years of experience in related fields
• Basic data analytics capabilities
• Proficiency in spreadsheet software (Excel, Google Sheets) and CSV file management
• Strong written and verbal communication skills for effective stakeholder coordination
• Meticulous attention to detail for quality assurance and data accuracy
• Adaptability and learning agility to master new digital tools and evolving requirements
• Problem-solving skills for troubleshooting content and data inconsistencies

Interested applicants please apply or email your CV to nadirah.hirwandy@tg-hr.com

SINGAPOREANS ONLY

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

Minimum of 4 years of experience as a Data Analyst or similar role
Proficiency in PowerBI, Tableau, SQL, and Excel
Strong problem-solving skills with attention to detail
Excellent communication skills for presenting complex information
Ability to work independently as well as part of a team
Familiarity with statistical analysis tools is a plus
Senior Tableau and Power BI technical background
Can communicate with user fluently to gathering requirements, do data analysis and build dashboard.
Test and deploy to user. With Excellent retail data experience.

Data Analyst with knowledge and experience working with PathFin.ai FinTech product.

Building and maintaining comprehensive data analytics capabilities for the PathFin.ai programme to generate actionable insights

Developing analytics frameworks to track participant engagement, AI adoption trends, and programme effectiveness metrics

Creating interactive dashboards for programme monitoring, stakeholder reporting, and strategic decision-making

Identifying potential leads and opportunities for programme expansion based on data analysis

Generating automated reports on platform usage patterns, event attendance, and knowledge contribution rates

Providing data-driven recommendations to support programme growth, participant satisfaction, and operational efficiency

Precisely, we need the AI Engineering who can work on

• Creating AI Model (PathFin.ai preferable product or similar FinTech product) to generate insights.
• Building Dashboards using these insights.
• Drive recommendations for decision support systems.