Total 438 data entry job vacancies in Hong Kong

We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job.

We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale.

Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect.

You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing.

This is an end-to-end ownership role. No handoffs.

Responsibilities

• Build and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet
• Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service
• Negotiate contracts and manage commercial relationships with data providers
• Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven)
• Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting
• Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling
• Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage
• Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel
• Build tooling that makes adding the next data source faster than the last one
• Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you faster

Requirements

You've done this before:

• 5+ years building data pipelines that run in production, 24/7, with real SLAs
• Deep hands-on experience with SQL databases and time-series data
• Python as your primary language, comfortable with async programming
• You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation
• You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work

You think about the whole picture:

• You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles
• You understand that data has a cost and a value, and not every source is worth keeping
• You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations

You use AI daily:

• AI coding tools are part of your workflow today, not something you're curious about
• You can articulate specifically how AI makes you faster and where it doesn't help
• You'd be frustrated if you couldn't use AI in your work

Nice to have

• Experience with financial market data
• Experience with streaming systems (Kafka or similar) at scale
• Vector database or embedding pipeline experience
• Experience with unstructured data extraction (PDFs, documents, NLP)

Perks & Benefits

• Senior individual contributor role with full ownership of the data domain
• Direct access to leadership — no bureaucracy, fast decisions
• AI tools provided and encouraged across all work
• Remote-friendly, async-first
• Compensation commensurate with experience

Key Responsibilities

• Develop and implement data analytics solutions to convert raw structured and unstructured data into meaningful insights.
• Apply data mining, data modeling, machine learning, and natural language processing (NLP) techniques to solve business challenges.
• Design and maintain scalable data pipelines, ETL processes, and data platforms to ensure data quality, accessibility, and reliability.
• Build dynamic dashboards, reports, and visualizations to communicate key findings and support decision-making.
• Establish data governance frameworks, data standards, metadata management, and asset catalogs to improve data consistency and compliance.
• Collaborate with cross-functional stakeholders to deliver data-driven solutions and optimize business processes.
• Evaluate emerging AI technologies and implement innovative solutions that enhance operational efficiency and business performance.

Preferred Qualifications

• Master's degree or above in Computer Science, Data Science, Engineering, Statistics,  Business Analytics or a related field.
• Proven experience in Data Engineering, Data Analytics, Machine Learning, AI Applications, or Data Governance.
• Strong proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Experience building ETL pipelines, data lakes, APIs, and large-scale data platforms.
• Solid understanding of machine learning, predictive analytics, data modeling, and NLP techniques.
• Excellent analytical, problem-solving, and stakeholder management skills.

Interested candidate please click "APPLY" to begin your job search journey.

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PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

This will be a 2-years direct contract position.

Responsibilities

• Data science developments.
• Lead project scoping discussions.
• Translate complex business requirements into technical solutions.
• Design, implement, and optimise end-to-end ML/AI solutions with improved performance and scalability.
• Systematically benchmark and evaluate multiple approaches, applying advanced techniques to solve complex business problems.
• Architect scalable solutions using cloud-based services and best practices, and design and implement robust data pipelines and LLM/MLOps workflows that improve efficiency and reduce operational costs.
• Deploy models to production environments with comprehensive monitoring, alerting, and maintenance procedures.
• Champion responsible AI practices, proactively identifying and mitigating ethical and governance risks.
• Collaborate with peers and stakeholders to ensure tasks are executed effectively, addressing minor conflicts constructively and respectfully, and suggesting improvements that enhance team effectiveness.

Requirements

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related disciplines. Minimum 2 years of relevant experience in data science and/or public sector.
• Able to business use cases into analytical problems and identifying appropriate data sources.

Proficient in

• Writing scripts for data preparation and analysis, using modern analysis tools and programming methodologies.
• cleaning, imputing, and correcting anomalies in the collected structured or unstructured data.
• Exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
• Building machine learning models to identify, recognise patterns, and make predictions.
• Design principles and use of visualisations to best convey the intended information.
• Developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated into the data systems for real time visualisation of information.
• Translating results from analysis of work into actionable recommendations for stakeholders.
• Communicating results and business impact from analysis work in a coherent data story for stakeholders.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

• 3+ years of experience as a Data Analyst, BI Analyst, Reporting Analyst, or similar role.

• Strong analytical skills and ability to work with complex datasets.

• Good SQL skills for querying, validating, and analysing data.

• Experience with reporting and dashboard tools such as Power BI, Tableau, Qlik, or equivalent.

• Good understanding of data quality, data validation, metrics definition, and business rule documentation.

• Experience working with business users to clarify requirements and translate them into reports or dashboards.

• Familiarity with data models, reporting tables, and data pipelines is advantageous.

• Experience in enterprise, public sector, healthcare, or regulated environments is advantageous.

• Strong communication skills and ability to explain data clearly to both technical and non-technical stakeholders.

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Data Scientist (Smart Manufacturing and AI) at Micron, you will leverage advanced techniques from mathematics, statistics, and information technology to improve semiconductor product quality, yield, and productivity. You will develop predictive models, actionable insights, and AI-enabled solutions that address large-scale manufacturing and quality challenges involving die-level, wafer-level, test, and quality/customer-related data.

Your work will directly help prevent customer-impacting quality events, reduce escapes, accelerate root-cause analysis and corrective actions, detect distribution shifts in manufacturing and field signals, and enable intelligent automation across Micron’s global fabs, bridging factory learning with customer-facing product quality outcomes.

Responsibilities and Tasks

Product Quality (PQ) Predictive Solutions:

• Build and productionize ML models (classification/regression) for product-quality prediction (e.g., escape prevention, failure-mode prediction, risk scoring) across manufacturing and post-manufacturing data.

• Develop anomaly and drift detection/monitoring (e.g., Isolation Forest, autoencoders/VAEs) to identify emerging quality signatures in fab, test, and field/customer signals.

• Apply text analytics (embeddings, clustering, classification, summarization) to quality narratives, customer feedback, FA notes, and engineering logs.

Agentic AI Development:

• Contribute to the design and implementation of multi-agent systems for PQ workflows, including automated root-cause analysis and process optimization.

• Optimize for performance, latency, and token efficiency.

• Assist in implementing tool-using capabilities, function calling, and agent memory systems.

• RAG-LLM Development: Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.

Software Engineering and Productionalization:

• Develop robust, maintainable code and analytical pipelines suitable for high-volume manufacturing environments.

• Optimize system performance, latency, and token efficiency.

• Collaborate with senior team members on testing, deployment, and monitoring.

• Clearly communicate analytical insights, model behavior, and trade-offs to both technical and non-technical customers to enable data-driven decisions.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.​

Required Qualifications & Skills

Education/Experience:

• Bachelor’s in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.

• Strong desire to grow a career as a Data Scientist in advanced, highly automated industrial manufacturing.

Technical Skills:

• Proficiency in Python and experience extracting and manipulating data using SQL.

• Solid foundation in statistics and machine learning (supervised/unsupervised learning, model evaluation, feature engineering).

• Experience with SQL for data extraction and manipulation.

• Experience with version control (Git).

• Familiarity with building interactive data applications or dashboards (e.g., Streamlit, PowerBI, or similar).

• Strong verbal and written communication skills, with the ability to explain complex analytical results clearly.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes

Preferred Qualifications

• Exposure to LLMs, agentic AI frameworks, or RAG pipelines (internship experience, academic, or personal projects welcome).

• Experience with time-series data, process/manufacturing data, or handling concept drift/imbalanced datasets.

• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and data visualization tools (Tableau, Power BI).

• Exposure to ETL tools, containerization (Docker), or web frameworks (Angular, React, FastAPI).

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply

Key Responsibilities:

- Engage with consumers to promote the brand.

- Educate potential customers about the brand’s products/services

- Maintain a positive and professional brand image at all times.

Requirements & Skills:

- Outgoing, friendly, and confident

- Strong verbal communication and active listening skills.

- Comfortable working in different environments/people

Compensation & Benefits:

- Competitive weekly pay

- Flexible work schedules.

- Opportunity for growth within the company.

WE’RE PURSUING TALENT – MARKETING

Building Future Leaders - We are building the next era of leaders in the sales and marketing industry.

Driven & Growth-Minded Individuals - We’re looking for people who are driven, open to learning, and ready to build something long-term.

Experience is not required - Attitude and humility matter more.

WHO WE’RE LOOKING FOR

Self-Driven Learners
• Self-motivated individuals willing to learn

Team-Oriented Individuals
• Those interested in leadership and personal growth

Open to Fresh Talent
• Fresh graduates & career switchers are welcome

WHAT YOU’LL DO

Marketing Skill Development
• Learn practical and ethical sales & marketing skills

Leadership Growth Mindset
• Work with a team to run campaigns for established brands

Client Relationship Management
• Build strong relationships with clients and customers

Leadership Growth Path
• Grow into leadership roles over time

WHAT YOU’LL GET

Hands-On Training & Support
• Hands-on training and guidance

Performance-Based Progression
• Clear, performance-based career progression

Local & Overseas Exposure
• Opportunities for local and overseas exposure

Supportive Team Environment
• A collaborative environment with strong mentorship

1-to-1 Mentorship
• Personal guidance to accelerate your growth

INTERESTED? APPLY NOW

Send in your resume and apply today.
We invest heavily in people with potential — not entitlement.

About the Role

We are seeking a motivated Marketing Executive to join our growing team. You will assist in campaign planning, support events, and engage directly with customers to build brand awareness. This is an excellent opportunity for fresh graduates to gain hands-on experience in sales and marketing.

Responsibilities

• Assist in planning and executing marketing campaigns
• Support events, promotions, and customer engagement activities
• Monitor campaign performance and report results
• Coordinate team roles when required

Requirements

• Strong interpersonal and communication skills
• Positive attitude, willingness to learn, and ability to work in a fast-paced environment

What We Offer

• Structured training and mentorship
• Career progression opportunities into senior marketing roles
• Performance incentives and recognition
• Regional exposure and event opportunities

Interested? Apply today and join us!