Total 868 data entry job vacancies in Information Technology category in Hong Kong

Responsibilities:

• Lead and advise agencies on data engineering strategy, architecture, and implementation aligned with the Digital Government Blueprint (DGB2.0).
• 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

Requirement:

• 10+ years of experience in data engineering, cloud infrastructure, or platform engineering.
• Deep understanding of system design, data structures, algorithms, and data modeling.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Proficiency in Python, Java, Scala, 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 and implementing batch/real-time data pipelines.

Interested applicants, Please send your updated resume in Word format to hres@itcspl.com

Please indicate Job Code "Data Engineer - 101" on email subject

We regret that only shortlisted candidates will be notified.

Bacalso John Bryan Bedayo (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311

Please visit www.itcspl.com to learn more information about ITC

• Experience: 6+ years in data analytics and business intelligence.
• Education & Certifications: MSc Data Science, NUS; AWS Certified Data Analytics Specialty.
• Key Experience: Built analytics frameworks and dashboards.
• Key Responsibilities: Build and maintain data analytics capabilities for PathFin.ai; develop analytics frameworks for engagement and AI adoption; create interactive dashboards and automated reports.

About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.

As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About the role

Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.

We’re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.

This is an opportunity to apply your skills while picking up new ones and delivering value for millions of customers around the world.

Up to shape what's next in finance? Let's get in touch.

What you’ll be doing

• Understanding our business and its processes through data
• Applying this understanding and knowledge of data to help product and services teams
• Developing documentation and data governance
• Owning the entire ETL process
• Designing key metrics to measure different aspects of the business
• Creating and maintaining new aggregated views and tables to simplify data querying
• Providing clean data sets, modelling data in a way that empowers end users to answer their own questions

What you'll need

• 5+ years of experience in an analytical role, creating impactful data-driven solutions
• A solid background/education in a quantitative discipline
• Great skills with Python, SQL, or other programming languages
• Evidence of exceptional mathematical and statistics knowledge

Nice to have

• An advanced degree in a core STEM subject
• Experience with additional programming languages (Java, Scala, C++, etc.)
• School/university Olympic medal competitions in physics, maths, economics, or programming

Data Engineer (SQL/ETL focus) - 12 months contract
Location: Tanjong Pagar

We are looking for a hands-on Data Engineer to design, build, and maintain data pipelines that support business operations, analytics, and reporting.

This role is ideal for someone who enjoys working with SQL, data integration, and automation, and has experience handling data from multiple systems in a production environment.

Key Responsibilities

• Design, build, and maintain data pipelines and ETL processes
• Develop and optimize SQL queries and data models
• Perform data validation, reconciliation, and quality checks
• Integrate data from multiple source systems into centralized datasets
• Automate data workflows and reporting processes
• Support business users with data extraction and reporting needs
• Troubleshoot data issues and ensure data accuracy and reliability

Requirements

Must-Have:

• 3–7 years of experience in Data Engineering, BI, or Data Platform roles
• Strong proficiency in SQL (advanced queries, joins, aggregation)
• Experience with ETL tools or data integration processes (e.g. SSIS, Airflow, etc.)
• Solid understanding of relational databases (SQL Server, Oracle, PostgreSQL)
• Experience in data validation, reconciliation, and reporting

Good-to-Have:

• Programming experience (e.g. Python, C#, or similar)
• Experience with reporting tools (e.g. SSRS, Power BI, Tableau)
• Scripting experience (e.g. PowerShell, Bash)
• Background in financial services, trading systems, or manufacturing

What We’re Looking For

• Strong problem-solving and analytical skills
• Attention to detail, especially in data accuracy and integrity
• Ability to work independently and manage data workflows end-to-end
• A practical, hands-on engineer who enjoys building reliable systems

Why Join Us

• Work on real-world data systems that impact business decisions
• Opportunity to build and improve data pipelines and automation
• Collaborative and supportive team environment
• Competitive contract remuneration

If you are passionate about working with data and building reliable data systems, we would like to hear from you.

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Join PwC's Cybersecurity & Privacy practice in Singapore as a Data Security Manager. We are seeking an experienced professional to guide top-tier clients, mentor a growing team, and serve as a subject matter expert. This role bridges the gap between technical implementation, strategic advice, and regulatory compliance, focusing on Data privacy regulations such as PDPA, modern DLP and data classification technology, and secure cloud architecture. 

Key Responsibilities 

• Lead data security engagements from strategy and roadmap development to final delivery. 

• Architect and advise on technical controls, including: 

• Data Discovery & Classification 

• Data Loss Prevention (DLP) 

• Encryption technologies and Key Management 

• On Premise and Cloud data security  

• Translate regulatory requirements (such as PDPA, GDPR and other regional / global regulations) into actionable technical and operational controls. 

• Mentor, coach, and develop junior consultants, fostering their careers and building team capability. 

• Support business development by building client relationships and contributing to proposals. 

Required Experience & Skills 

• 7+ years in cybersecurity with a focus on data security and protection. 

• Expertise and experience in Data Protection regulations is required. 

• Proven client facing and project delivery experience, preferably in professional services. 

• Experience with data security technologies: Data Classification, DLP, Encryption, IAM, data security in cloud platforms (AWS, Azure, and GCP). 

• A passion for mentoring and developing teams. 

Preferred Qualifications 

• Tertiary degree in a relevant field (e.g., IT, Cybersecurity, Computer Science). 

• Certifications such as CISSP, CISM, CIPP, CDPSE. 

• Cloud security certifications (AWS, Azure, GCP). 

• Experience in Financial Services (MAS requirements), Technology, or Public Sector. 

• A track record of contributing to business development efforts.

Job Purpose:

The Assistant Manager, Data Management Centre (SSC), supports HR Shared Services by overseeing accurate data processing, maintaining compliance with audit and policy requirements, and ensuring timely delivery of employee-related transactions. The role leads a team in managing SAP data integrity, partners with internal stakeholders, and drives workflow improvements to enhance service quality and operational efficiency.

What You’ll Do:

• Lead & Oversee Daily Operations: Motivate and guide a team of officers to meet Service Level Agreements (SLAs) with Business Partners and deliver reliable HR data services.

• Manage HR Data & System Transactions: Ensure accurate, timely input of employee and company data in SAP, aligned with audit, compliance, and confidentiality requirements.

• Collaborate with Key Stakeholders: Work closely with Payroll, Business Units, GHR, and IS teams to support pay runs, address queries, and implement policy or system changes.

• Drive Process Improvements: Identify gaps, conduct root-cause analysis, streamline procedures, implement enhancements, and update SOPs and training materials.

• Support Governance & Reporting: Handle employee data requests, prepare reports, respond to audit queries, and ensure data integrity for internal and external stakeholders.

What You’ll Bring:

• Education & Experience:  Bachelor’s degree in business, Information Systems, or a related discipline — or a Diploma with 1–2 years of relevant experience, preferably in a Shared Services environment.

• Systems Knowledge: Hands-on experience with SAP or an equivalent HR Information System is an advantage.

• Communication Skills: Good oral and written communication skills, with the ability to interact professionally with stakeholders.

• HR Domain Knowledge: A thorough understanding of HR practices, policies, and procedures.

• Professional Attributes: Detail-oriented, discreet with sensitive data, and able to work both independently and in a team-based setting.

As the Head of Data Analytics at our leading AI company focused on self-developed multimodal large language models (LLMs), you will lead our data analytics team to drive end-to-end data strategy, governance, and insight generation across the entire lifecycle of our multimodal model R&D and commercialization. You will be responsible for building a robust AI-focused data analytics framework, leveraging advanced data science and machine learning techniques to transform raw multimodal data into actionable business and technical insights, and aligning data initiatives with the company's strategic growth goals. This role is critical to optimizing our multimodal model performance, accelerating product iteration, and enabling data-driven decision-making across all business functions.

Key Responsibilities

1. Develop and implement analytics techniques and applications to transform raw multimodal data (text, image, audio, video) into valuable insights using data programming languages and visualization tools.

2. Apply data mining, data modeling, NLP, and machine learning methods to extract and analyze information from large-scale structured and unstructured datasets.

3. Visualize, interpret, and present data insights and dynamic dashboards to technical and business stakeholders to support R&D and commercial decisions.

4. Lead, mentor, and scale the data analytics team; establish workflows, standards, and best practices for data governance, quality, and model evaluation.

5. Collaborate with AI research, engineering, and product teams to design data pipelines, evaluation metrics, and A/B testing frameworks for multimodal model improvement.

6. Oversee data collection, cleansing, labeling, and validation processes to ensure high-quality data assets for model training and fine-tuning.

7. Drive data-driven decision-making across the organization and align data initiatives with company AI strategy.

Qualifications

1. Master’s degree or higher in Engineering, Computer Science, Data Science, Information Technology, Statistics, Mathematics, or a related field.
2. Minimum 5+ years of professional experience in data science, data analytics, or a closely related role, with at least 2+ years in a leadership or managerial position.
3. Demonstrated experience working in AI, large language models, multimodal models, machine learning, or deep learning research/engineering environments.
4. Proficiency in data-oriented programming languages (Python, SQL), big data tools, and data visualization software.
5. Strong knowledge of machine learning, statistical analysis, data mining, NLP, and multimodal data processing.
6. Experience building and managing data teams, defining data strategies, and implementing data governance frameworks.
7. Excellent communication, presentation, and stakeholder management skills.

Job Description: Lead Data EngineerRole OverviewWe are looking for a Lead Data Engineer to design, build, and scale our data automation and ingestion capabilities. This role will play a critical part in shaping how data is collected, processed, and operationalized across the organization.You will lead the development of scalable, reusable data collection and processing systems using Python-based pipelines, APIs, and workflow-driven automation primarily focussing on data automation, pipeline reliability, and production-grade model execution.This is a hands-on role for an experienced data engineer who enjoys building robust systems, improving standards, and partnering closely with analytics, backend, UI, and data operations teams.Key ResponsibilitiesData Ingestion & AutomationDesign and develop scalable, reusable data ingestion systems using Python, APIs, web scraping, and file-based ingestion.Build and maintain data collection methods for diverse data types and sources, including APIs, Excel, flat files, HTML etc.Ensure ingestion pipelines are automated, fault-tolerant, and self-healing, minimizing manual intervention.Pipeline Integration & ExecutionIntegrate ingestion pipelines with enterprise data storage and processing layers.Leverage Decisions (workflow automation software) and internal workflow services to orchestrate and execute data transformation and manipulation workflows.Partner with internal platform and workflow teams to ensure pipelines run consistently at scale.Data Quality, Governance & StandardsDefine and enforce data quality checks, validation rules, and reconciliation logic across pipelines.Ensure strong data governance and cross-system alignment, working closely with backend, analytics, and UI teams.Establish and promote development standards, including Script and module structure, Logging, error handling, Unit testing and validation frameworksReduce technical risk and future rework through consistent engineering practices.Model Operationalization & Data Ops EnablementWork closely with Data Ops and Analytics teams to help transition Python-based models from: Analyst-led prototypesTo production-ready, scalable, and reliable operational modelsEnsure models can be executed efficiently within workflow-driven environments (e.g., Decisions), with proper dependency management, performance optimization, and monitoring.Enable end-to-end execution of data pipelines and models, supporting growing data volumes and increased execution frequency.Provide Technical leadership, Guiding design decisions, reviewing code and architectureRequired Skills & ExperienceSenior-level data engineer (typically 10+ years), with strong hands-on experience and the ability to lead and shape systems rather than just implement tasks.Strong hands-on experience with Python in production data engineering environments.Proven experience building data ingestion pipelines, ETL/ELT-style processes, and automation frameworks using code (not GUI-based tools).Strong knowledge of data manipulation and scraping libraries, including Pandas, NumPy, Requests, BeautifulSoup and Selenium (or similar browser automation tools)Experience working with APIs, authentication mechanisms, and structured/unstructured data formats.Solid understanding of data quality, validation, and governance practices.Experience designing pipelines that are Scalable, Reliable, Idempotent, Easy to monitor and debugFamiliarity with workflow-based execution and orchestration concepts.Strong ability to collaborate across teamsAbility to translate analytical needs into robust, production-grade data solutions.

• 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

YOUR MISSION _________

• Drive process efficiency by automating reporting and improving data workflows, enabling faster and more reliable decision-making through standardized datasets and dashboards

Core Responsibilities

Automation & Digitalization

• Identify recurring manual tasks (report preparation, data consolidation, tracker updates) and redesign workflows to reduce cycle time and errors
• Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable)
• Support digitization of trackers/forms (e.g., standardized templates, structured input, controlled master data)

Data Pipeline & Governance (Light data engineering)

• Consolidate data from multiple sources into clean, standardized datasets (“single source of truth”)
• Maintain backend datasets and ensure refresh schedules and data quality controls that support real-time retail, operations, and data dashboards
• Implement data governance: KPI definitions, data validation checks, version control, documentation in line with APAC database

Dashboards & Self-Serve Reporting

• Design and maintain Power BI dashboards and automated reporting packs for stakeholders
• Create clear metric definitions and user guides to enable self-serve usage

Documentation & Enablement

• Maintain SOPs, process documentation, and training materials for new automated workflows
• Support ad-hoc analytics requests tied to improving repeatable processes

Deliverables / Success Measures

• Accurate and on-time retail ops reporting packs and dashboards
• Improved data quality and governance (fewer reporting errors, clearer KPI definitions)
• Documented processes/SOPs and measurable time saved via automation or workflow improvements
• Effective coordination support to stores and field team

We are looking for Singaporeans with at least an NITEC in IT, who are interested in a Data Center Operator role and comfortable working 12 hour rotating shifts to join us for this 1 year contract role with ES Recruitment.

• Work location: Sin Ming Drive
• Salary: $2300 - $2700 (Depend on experience, company do not provide bonus)
• 12 hour rotating shift (8 to 8), 1 Day, 1 Night, 2 off shift pattern
• Shift allowance: $8 per Day Shift & $20 per Night Shift
• Annual leave 10 days

Requirement:

• Singaporean (Must cleared both CAT2 project clearance and pre-employment check)
• Min Nitec in IT
• Willing to work 12 hour rotating shift (8am to 8pm, 8pm to 8am)
• Keen in data center role
• Willingness to learn attitude
• Able to start work at short notice
• Must serve 2 months notice when hired for this project
• Must be able to commit to a 1 year contract
• Must be willing to wait for the check to be complete

Jobscope:

• Monitor Server and application health
• Batch job & monitoring
• Backup job & Monitoring
• Escalation and alert notification
• Escort DC visitor
• Support Building management maintenance, E.g. power maintenance, Aircon
• Support security advisories
• Remote monitoring service
• Support DR activity
• Support and execute task assign by the Project manager
• Printing service management
• To ensure all the task is completed
• To ensure all the system is well taken care and monitor
• To ensure all back up is executed.
• To ensure all batch job is executed.

ES Recruitment Pte Ltd (09C4235)

Hong Chiew Guat (R1219860)

Key Responsibilities and Attributes :

· Duties include providing support to Citi perimeter security infrastructure, which includes firewall, proxy, and remote access systems.

· Investigation, documentation, and resolution of outages to critical business systems that may be caused by firewall, proxy, or remote access systems.

· Escalation of issues to and tracking of progress in conjunction with Client engineering teams, vendors, or other technical resource teams.

· Working incidents or projects beyond the scope of the level 2 team which may include scheduling multiple changes, software upgrades, or configuration activities to resolve.

Desired platforms/skills include:

· Strong troubleshooting and communication skills, tcpdump/pcap/wireshark experience, Check Point Secure Platform Pro & Gaia, Juniper SRX, Bluecoat Proxy, Palo Alto Networks firewalls, Juniper SSL VPN appliances, Juniper Netscreen firewalls, Cisco ASA with AnyConnect client, Network routing with BGP, Linux/Unix experience preferred.

· Also desired/emphasized is a strong analytical and quantitative capability with attention to detail ability to work in a demanding and environment, exhibiting a high degree of flexibility and ability to multi-task, seeking guidance where necessary, strong verbal and written skills are also desired.