Total 874 data entry job vacancies in Information Technology category in Hong Kong

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
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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

Work scope, duties and responsibilities

1. Perform administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time.

Working Day/ Time : Monday to Friday - 1pm to 5pm

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.

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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.

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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

Key Responsibilities:

• Perform accurate and timely data entry of inbound and outbound orders into the warehouse management system (WMS).

• Update inventory records, stock movement, picking and packing details.

• Verify data against physical documents (DOs, invoices, manifests) to ensure accuracy.

• Cross-check shipment information with warehouse operations team.

• Generate daily/shift reports (inventory status, discrepancies, order completion).

• Flag and investigate data discrepancies, missing documentation, or quantity mismatches.

• Support stock take by updating results into the system.

• Prepare labels, documents, and shipment lists for next-day operations.

• Maintain proper filing and documentation for audit and traceability.

• Coordinate closely with warehouse supervisors.

• Ensure data confidentiality and comply with warehouse SOPs and safety guidelines.
  

Requirements

• • 2–5 years of experience in warehouse or logistics operations
  • Prior experience is an advantage
  • Strong organizational and problem-solving skills
  • Good communication skills
  • Familiar with warehouse management systems (WMS) and Microsoft Office
  • Ability to work in a fast-paced environment

  Location: 68 Kalland Pudding Road S349327

  
  Working Conditions

  • Based in airconditioned warehouse environment

  Working hours:
  9am- 6pm (Mon- Fri Only)

  Benefits:
  Outpatient and Hospitalization Insurance
  

Contract Duration: 12 months

Estimated Start Date: 1 June 2026

Estimated End Date: 31 May 2027

Salary: S$2,800 per month

Working Hours

• Monday to Thursday: 8:30am – 6:00pm
• Friday: 8:30am – 5:30pm
  
  About the Role
• We are seeking a Temporary Executive to support data management, engagement coordination, and administrative operations for a 12-month contract period.

Key Responsibilities

Data & Database Management

• Maintain and update youth leader profiles within centralised databases
• Track youth leaders’ engagements across multiple data collection platforms
• Ensure data accuracy, completeness, and consistency

Engagement Coordination

• Manage and maintain the centralised calendar of youth engagements across agencies
• Coordinate invitations for youth leaders to relevant programmes and opportunities
• Work with programme owners to identify suitable youth participants
• Support scheduling and coordination of meetings and engagement sessions

Stakeholder & Programme Support

• Support communication between National Youth Council (NYC) and various government agencies
• Assist with onboarding processes for new youth leaders
• Provide general administrative and operational support for YLE programmes
• Prepare and disseminate programme updates where required

Job Description

Ensure supplier master data accuracy and compliance across ERP systems, with special focus on Spanish-speaking supplier markets.

Interpret information correctly and able to make sound decisions to support the business while maintaining controls during set up.

Apply corporate rules and best practices when reviewing requests to identify errors in global data fields and rejects, escalates or remediates errors, if any.

Create, update, and validate supplier records, including tax IDs, banking details, and certifications in both English and Spanish.

Coordinate with cross-functional teams to ensure consistent quality of data.

Perform regular review and clean-up of master data.

Ensure internal controls relating to maintenance of master data are in place and effective.

Support implementation of master data process improvement initiatives. 

We are seeking an experienced Data Strategy Leader to design, implement, and drive an enterprise-wide data strategy within an SME environment. This role requires a unique balance of strategic leadership, hands-on execution, and stakeholder management, ideally within the Information or Telecommunications domain.

The successful candidate will embed data-firstprinciples across business and technology teams, establish scalableenterprise data platforms, and lead cross-functional teams to delivermeasurable business outcomes.

Data Strategy & Transformation

• Lead the enterprise-wide data strategy, embedding data-first principles across business, product, and technology teams.
• Translate business objectives into a practical, execution-ready data roadmap suitable for an SME operating environment.
• Define and govern enterprise data standards, policies, and operating models aligned to growth and scalability needs.

Data Platform & Architecture

• Design and deploy a scalable enterprise data lake platform, consolidating data across multiple systems and domains.
• Provide hands-on technical leadership in defining enterprise data architecture, models, and integration frameworks.
• Ensure platforms support advanced analytics, reporting, and future AI/ML readiness.

Stakeholder & Adoption Management

• Drive organisation-wide adoption of data capabilities, aligning stakeholders from executive leadership through to delivery teams.
• Act as a key bridge between business SMEs, data engineers, analytics teams, and IT leadership.
• Lead change management initiatives to embed data-driven decision-making into day-to-day operations.

Governance, Quality & Stewardship

• Implement data stewardship and ownership models to improve data quality, accountability, and trust.
• Establish clear data governance processes pragmatic for an SME context (not overly bureaucratic).

Delivery, Execution & Leadership

• Build and lead cross-functional data task forces, bringing together domain SMEs and data experts to accelerate execution.
• Define KPIs and success metrics to track data strategy impact, value creation, and continuous improvement.
• Maintain a pragmatic, delivery-focused approach, balancing long-term strategy with near-term execution.

Required Experience & Skills

• Demonstrated experience leading data strategy initiatives in an SME environment, including hands-on delivery.
• Proven track record of rolling out an enterprise-wide data strategy programme end-to-end.
• Strong stakeholder management skills, with experience influencing senior leadership and cross-functional teams.
• Hands-on experience with enterprise data platforms, data lakes, and modern data architectures.
• Ability to operate at both strategic and technical levels.

• Background in Information, Telecommunications, or adjacent data-intensive industries is strongly preferred.

About the Role

Looking to build a career where data directly drives business decisions? This role offers a unique opportunity to work at the intersection of data analytics and B2B marketing, where your insights will actively shape sales strategy and market growth.

You won’t just maintain data — you’ll transform it into actionable intelligence that influences real business outcomes from day one.

Key Responsibilities

Data Analysis & Strategy

• Develop and manage datasets to support sales analysis and market development
• Translate data insights into clear recommendations for sales direction
• Work with tools such as Microsoft Excel, SAP, Power BI, and internal systems

Marketing & Lead Generation

• Support B2B marketing initiatives, including campaigns and promotions
• Contribute to lead generation strategies and pipeline development
• Collaborate with sales teams to align data insights with business goals

What We’re Looking For

Technical Skills

• Strong proficiency in Microsoft Excel (Modern Excel preferred)
• Exposure to Power BI / Power Automate is advantageous

Mindset & Traits

• Proactive and confident in proposing ideas to improve performance
• Analytical and curious — always asking “why” behind the data
• Detail-oriented with strong commitment to accuracy and quality
• Able to act quickly and take ownership of tasks
• Service-oriented mindset with strong stakeholder awareness

Requirements

• Bachelor’s Degree in any discipline

Why Join Us?

Empowered Culture

• Flat structure where ideas are valued regardless of seniority
• Opportunity to make visible impact on business performance

Growth Exposure

• Hands-on experience across data analytics, marketing, and sales strategy
• Ideal for candidates looking to build a well-rounded commercial skillset

Business Edge Personnel Services Singapore 

EA License No: 96C4864 

EA Personnel Reg No: R26159908 (Tan Ying Ying)

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

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