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

Responsibilities:

• Collaborate with cross-functional teams to gather business requirements
• Perform feature engineering using customer, product, digital, and behavioural data
• Design and build scalable AI models
• Evaluate AI model performance using technical and business metrics
• Design end-to-end model pipeline and conduct various tests to ensure robustness of solution
• Prepare model documentations and testing reports

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related fields.
• 3–5 years of experience in a data science or analytics role.
• Strong command of Python (especially for text analytics and data manipulation).
• Solid experience with SQL for querying large datasets.
• Familiar with machine learning libraries and GenAI.
• Ability to work with various types of data and derive meaningful insights.
• Strong communication skills and stakeholder management experience.

Responsibilities

• Leader in data engineering strategy, architecture, and implementation
• Mapping business data requirements into technical specifications and scalable solutions.
• Architecting and building ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Creating and implementing secure, cloud-based data infrastructure and access mechanisms.
• ETL systems and databases monitoring and optimization for performance, reliability, and scalability.
• Reusable data models construction
• Maintain data catalogues with metadata and lineage.
• Enforce data governance, quality, and security policies.
• Provide guidance for greenfield and brownfield implementations, from problem definition to solution design.
• Establish standards for assessments, discovery, and solutioning.
• Influence adoption of modern data and infrastructure practices.

Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Minimum 10 years of experience in data engineering, cloud infrastructure, or platform engineering.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Experience with Python, Java, Scala, and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Experience with Databricks and implementing batch/real-time data pipelines.
• Exposure to CI/CD pipelines and infrastructure-as-code practices.
• Extensive knowledge of system design, data structures, algorithms, and data modeling.
• Extensive knowledge of data governance, security, and privacy (especially in public sector contexts).
• People manager with mentoring experience.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Work location : Pasir Panjang Wholesale Market
Working Hours : 6pm to 3am, as long as finished keying in can go back earlier sometimes 2am or earlier.

4 off days a month (self arrange with boss prior approval, can be all 4 days together or 4 separate days anytime within a month etc,). If you choose to work on off days, Extra Duty allowance will be provided.

Responsibilities:

Data Entry clerk / Customer Service

Key in order by buyer into system
Able to read the order in Mandarin, and type mandarin characters for other picker/packer to pick up correct order
Support customers query regarding orders or directly take order over phone.

Requirements:
Preferably familiar with type of vegetable

Able to communicate with Mandarin speaking customers professionally regarding orders / take orders

Basic Computer knowledge

Salary : Basic SGD 2200, after probation review salary with good performance.

Job Summary

We are seeking a detail-oriented and proactive Data Provisioning & Platform Operations Analyst to support enterprise data platforms projects for a renowned bank. This role will work closely with business, technology, and data governance teams to ensure secure, compliant, and efficient data provisioning across multiple environments.

Mandatory Skill-set

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related discipline;
• Must have 0-2 years of experience in data operations, data provisioning, or data platform support, preferably within the banking or financial services industry;
• Must have hands on experience in SQL;
• Familiarity with big data technologies such as Hadoop, Spark, data lakes, and data warehouses;
• Strong understanding of data governance, data security, and access control frameworks;
• Must have Strong analytical thinking with attention to detail and a proactive problem-solving mindset;
• Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences;
• Self-motivated team player with strong sense of ownership, drive, and initiative;
• Ability to work independently under pressure and manage multiple priorities effectively.

Desired Skill-set

• Experience with scripting languages (e.g., Python, Shell) and data integration/movement tools;
• Experience in banking or financial services;
• Exposure to cloud platforms (AWS, Azure, or GCP);
• Knowledge of data lineage or data catalog tools.

Responsibilities

• Work with business teams to understand their data needs and provide the required datasets;
• Manage data provisioning processes across different systems and environments;
• Ensure all data movement follows the bank’s data governance and security policies;
• Monitor data usage to ensure accuracy, efficiency, and proper access;
• Set up access and environments for new users on the platform;
• Maintain clear documentation of data processes, data flow, and system setups;
• Troubleshoot and resolve data access or provisioning issues;
• Build good working relationships with business and technical stakeholders;
• Support users with questions on data access and availability.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C5639

Brief Summary:

Join a dynamic team focused on enhancing cybersecurity through data analytics. Leverage your analytical skills to uncover threats and support strategic decision-making in cyber operations.

Responsibilities:

• Analyze, correlate, interpret, and visualize data to identify trends and patterns.

• Formulate and test hypotheses for threat hunting initiatives.

• Produce actionable insights and evidence to inform decision-making processes.

• Compile and share intelligence with counterparts for timely intervention.

• Translate complex concepts and findings into reports and presentations for senior stakeholders.

Requirements:

• A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science and Analytics, or a related field.

• Familiarity with cybersecurity concepts and applications is essential.

• At least 3 years of experience in data transformation, interpretation, and quantitative data analysis.

• Knowledge of statistical techniques and concepts (e.g., regression, properties of distributions, statistical tests) and experience in their application.

• Proficient in using databases and big data analytics frameworks such as Hadoop, Hive, or Spark, with the ability to write complex SQL queries.

• Domain knowledge in Computer Networking, Network Security, or System Security is advantageous.

• A proactive learner with the ability to independently acquire knowledge in new domains or technologies quickly.

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. 

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Responsibilities:

• Works with Solution Architect & Business Analysts on end-to-end solution, evaluate and develop high-quality data solutions.
• Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
• Works cooperatively with others to resolve data and process issues.
• Uses standard data modeling, data flow, and data documentation tools to analyze, document and present data analysis work.
• Plan & develop ETL, Data preparation/aggregation processes from various sources to MSSQL database/PostgreSQL DB
• Maintain, and optimize ETL and other ETL processes to adapt to changes in needs and requirements.
• Participate in MS SQL code reviews and provide guidance on best practices.
• Review new database schema changes.
• Familiar with T-SQL, stored procedures, functions, inline SQL, database structures
• Analyze existing SQL queries for performance improvements.
• Monitor code migration and database change management through various stages of the development cycle.
• Design & Develop procedures and scripts for data migration.
• Develop, implement, maintain policies and procedures, and document database architecture to ensure security and integrity of the databases.

Requirements:

• 5 to 8 years of T-SQL programming.
• 2 to 3 years of Informatica development experience.
• Experience with migration of Informatica PowerCenter to IDMC.
• Experience with performance tuning of sources, mappings, targets, and sessions.
• Experience with Data Architecture and Data Modeling concepts.
• Familiarity with Microsoft SQL Server/PostgreSQL DB.
• Knowledge of git Source Control. and Knowledge of CI/CD pipelines or deployment automation tools.
• Critical thinker and problem-solving skills.
• Team player.
• Good time management skills.
• Great interpersonal and communication skills.

• Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns.
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization.
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration.
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration.
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures.
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques.
• Python: Strong Python programming skills for data processing and automation.
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Requirements:
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional
• Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications.

Be part of a data-driven project delivering insights and analytics solutions. This role supports data analysis, reporting, and project coordination, offering hands-on experience in analytics and stakeholder collaboration.

Job Description

• Support project coordination, including tracking timelines, deliverables, and stakeholders.
• Assist in data collection, validation, and review to ensure accuracy and consistency.
• Consolidate data from multiple sources into structured formats.
• Create reports, charts, and dashboards using Excel to present insights.
• Support testing of data systems, dashboards, and enhancements.
• Work with stakeholders to ensure data solutions meet business needs.

Requirements:

• Singaporean Only.
• 2–3 years of experience in data analysis, research, or project coordination.
• Strong analytical skills and attention to detail.
• Proficient in Microsoft Excel (e.g. pivot tables, charts).
• Good communication and stakeholder management skills.
• Familiarity with Python or R is an advantage.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

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

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Supervises and mentors junior staff on the required daily maintenance and operations of the data centre facilities to ensure serviceability of all active and redundancy equipment.
• Responsible for maintaining and operating critical infrastructure systems such as power, cooling, and fire protection to ensure continuous uptime.
• Oversee preventive and corrective maintenance, lead infrastructure upgrade projects, and coordinate with contractors and vendors.
• Managing risk, responding to incidents, and ensuring compliance with industry standards and regulatory requirements.
• Focus on improving energy efficiency and sustainability within the data center.

Requirements:

• Degree or Diploma in Electrical/Mechanical Engineering or equivalent
• Min 2-3 years of relevant experience in Date Centre or M&E experience in building/construction industry
• Strong technical and functional skills and knowledge of facilities management and operations.
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $5,500 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

We are hiring on behalf of our client, a reputable organisation, for a Data Scientist to develop and deploy data science and Generative AI solutions that support key business functions across investment, industry development, and corporate operations.

This is an exciting opportunity to work on impactful AI initiatives, partnering closely with stakeholders to translate business challenges into scalable, data-driven solutions.

Key Responsibilities

• Collaborate with business stakeholders to understand priorities and identify high-impact use cases
• Design and develop solutions using Data Science and Generative AI techniques to drive measurable business outcomes
• Research and evaluate emerging AI methodologies (e.g. LLMs, Agentic AI, predictive modelling, anomaly detection, NLP, customer segmentation)
• Perform data wrangling and analysis, including preprocessing, cleaning, and feature engineering
• Support deployment, monitoring, and maintenance of AI/ML models and applications
• Develop backend APIs and services for AI model integration and deployment
• Build frontend interfaces and user experiences for AI-powered applications
• Maintain proper documentation for systems, models, and enhancements
• Identify and remediate security vulnerabilities in deployed solutions

Requirements

• Bachelor’s Degree in Computer Science, Data Science, AI, Machine Learning, or related fields
• Strong understanding of AI/ML techniques for regression and classification
• Proficiency in Python and common libraries (e.g. pandas, scikit-learn, matplotlib, NLP libraries such as spaCy/NLTK)
• Understanding of LLM concepts and architectures (e.g. embeddings, context windows, tokenisation, RAG)
• Experience with prompt engineering and context optimisation techniques
• Proficient in Git and SQL
• Familiarity with Business Intelligence tools (e.g. Tableau, Power BI, Qlik, MicroStrategy)

Preferred / Nice-to-Have Skills

• Experience with modern programming languages (e.g. TypeScript, C#)
• Exposure to cloud platforms (preferably AWS)
• Experience with Docker / Kubernetes
• Full-stack development experience, including:Backend frameworks (e.g. FastAPI, Flask, Express.js)Frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases (e.g. Pinecone, FAISS, Chroma)
• Familiarity with AI agents / multi-agent systems
• Strong communication skills with the ability to translate technical concepts to non-technical stakeholders
• Experience with statistical tools (e.g. R, SAS)

All information will be kept strictly confidential. Only shortlisted candidates will be contacted.

TALENT PULSE PTE. LTD.
EA License No: 25S2956

Job Summary

This role involves leveraging advanced data analysis, visualization, and engineering tools to develop data models, automate ETL processes, and deliver actionable business insights that drive strategic decision-making.

Responsibilities

• Analyze complex datasets using Power BI, Tableau, and QlikView/QlikSense to create interactive visualizations that support business objectives
• Develop and maintain SQL and Python scripts (using Pandas, NumPy, Matplotlib, Plotly, Bokeh) to extract, transform, and analyze data for reporting and predictive analytics
• Design and implement data models using Star Schema, Snowflake Schema, and DataLake architectures to optimize data storage and retrieval
• Manage and optimize databases on Azure SQL Database and SQL Server to ensure data integrity and performance
• Build and automate ETL workflows using SQL Server Integration Services (SSIS), Azure Data Factory (ADF), and Talend to streamline data transformation processes
• Utilize big data technologies such as Azure Synapse Analytics, Apache Spark, and Databricks to process large-scale datasets efficiently
• Implement DevOps practices by managing Azure DevOps pipelines and using Git/GitHub for version control and continuous integration/continuous deployment (CI/CD)
• Perform data cleansing, data mining, statistical analysis, and predictive analytics to uncover trends and support data-driven decision-making

About Us

ABeam Analytics is a proud and integral part of the global ABeam Consulting network. For decades, we have partnered closely with clients andstakeholders across Asia, serving as a trusted advisor by leveraging our deepunderstanding of regional business landscapes, local requirements, andregulatory frameworks.

At ABeam Analytics, we transform data into actionable insights. By combining advanced analytics with cutting‑edge technologies, we deliver innovative and impactful solutions to a diverse range of clients, helping organisation make informed decisions and drive business success.

Kickstart Your Career

Join our RAS-Programme (RASP), a structured development pathway designed to help graduates build a strong foundation in data management and analytics. The programme offers comprehensive training, hands‑on project exposure, mentorship from experienced professionals, and opportunities toobtain industry‑recognised certifications.

You will be part of a collaborative and supportive team that values learning, curiosity, and continuous improvement—an ideal environment to grow your skills and start your professional journey.

Are You the Right Fit?

If you are passionate about data and analytics, enjoy solving real‑world business problems, and are eager to learn in a fast‑paced and dynamic environment, this role could be a great fit for you.

Key Responsibilities

• Business Problem Solving: Understand client challenges and translate them into clear problem statements and analytics solutions.
• Data Management Solutions: Assist in developing and maintaining data management frameworks to ensure data quality, consistency, and accuracy.
• Analytics Development: Support data scoping, data cleansing, feature engineering, testing, deployment, and continuous improvement of analytics solutions.
• Design Collaboration: Participate in design discussions to help define data processes, architectures and requirements.
• Project Support: Provide progress updates and work closely with project managers and technical leads to refine problem statements.
• Team Collaboration: Work with cross‑functional teams using both waterfall and agile methodologies.

Requirements / Qualifications

• Diploma/Bachelor’s degree (or upcoming graduate) in Data Science, Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• Strong interest in data management, analytics, and problem‑solving.
• Basic knowledge of data concepts such as data modelling, data cleansing, or analytics techniques (academic or project‑based experience is acceptable).
• Familiarity with programming or analytics tools (e.g. SQL, Python, R, or similar) is an advantage, but not mandatory.
• Good analytical thinking and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.
• Willingness to learn, take initiative, and adapt in a fast‑paced setting.

Fresh graduates are encouraged to apply. Relevant internships, academic projects, or course work will be considered positively.

Why Join Us?

At ABeam Analytics, you will have the opportunity to work on meaningful projects, gain hands‑on experience, and build a strong foundation for your career in analytics. We offer a supportive and inclusive environment where learning is encouraged, mentorship is valued, and your growth matters.

Together, we create impactful solutions and shape the future of data‑driven decision‑making.

• Up to $4,500 per month
• Mon - Fri, office hours
• 3-month contract in the first instance, renewable for 9 months
• Central Location

What to expect:

• 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.
• Assist with website content uploads, updates, and maintenance including event listings, metadata management, and digital record processing.
• Monitor published content for accuracy, consistency, and currency of information.
• Co-ordinate event approval workflows ensuring compliance with established criteria and standards.
• Conduct comprehensive quality assurance checks on all files and content before publication.

Who we are looking for:

• Possesses minimum a Bachelor's Degree with 3 years of experience using web analytics tools and digital campaign performance tracking.
• Proficiencyin spreadsheet software (Excel, Google Sheets) and CSV file management.
• Problem-solving skills for troubleshooting content and data inconsistencies.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.

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

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Data Center Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 2-3 years of relevant experience for a data centre

Work Locations

Bedok/Woodlands

(Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $4800

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]