Total 4,092 data entry job vacancies in Hong Kong

We are expanding our charity outreach team and are looking for individuals who are passionate about making a difference through ethical fundraising and public engagement.

What You’ll Do

1. Engage members of the public to raise awareness for charity initiatives
2. Support fundraising and outreach campaigns
3. Represent non-profit partners professionally
4. Participate in community events and campaigns

What You’ll Get

1. Earning potential: $3,000–$6,000/month
2. Full training and mentorship provided
3. Performance-based incentives
4. Career progression opportunities
5. Purpose-driven and supportive team culture

Who We’re Looking For

Entry-level candidates welcome
Comfortable with face-to-face engagement
Motivated, responsible, and impact-driven

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Responsibilities：

• Take full ownership of the comprehensive data analysis for core game products.
• From business and product perspectives, leverage data to identify game issues and bottlenecks, deliver actionable insights, and drive game optimization initiatives.
• Track the progress of A/B experiments, ensure the reliability and validity of experiment results, and provide targeted recommendations for product iteration.
• Apply machine learning algorithms to analyze user behavior data, optimize the user lifecycle funnel, and achieve user growth targets.
• Institutionalize analytical frameworks and methodologies, and deliver analysis templates or requirements for data products

Qualifications：

• Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Economics, Finance, Physics, Communications Engineering or related disciplines.
• Proficiency in full-spectrum SQL skills, especially window functions; ability to apply common machine learning algorithms in Python/R to solve modeling problems.
• Solid foundation in statistics, with a clear understanding of the application of statistical methods in A/B experiments.
• Exceptional self-motivation, self-learning capability, logical thinking, and the ability to solve problems independently.
• Passion for games and data analysis work; strong data sensitivity and analytical insight; excellent teamwork and communication skills

We specialize in global casual games. As we undergo rapid business expansion, we have multiple openings available and are actively seeking top-tier talent across the industry!

About the Company

A global leader in mission-critical data center infrastructure, delivering highly reliable and scalable facilities to support digital transformation for major technology clients. The company operates a broad footprint across Asia-Pacific and is expanding its regional portfolio.

Your Role

You will be responsible for the planning, coordination, and delivery of construction programs across APAC for mission-critical facilities. This includes managing full builds, fit-outs, upgrades, and infrastructure works. You will oversee budgets, schedules, quality, safety, and stakeholder alignment to ensure successful project execution and handover to operations teams.

What You’ll Do

• Lead construction delivery from project inception through completion and handover

• Implement and enforce a strong safety culture and ensure compliance with HSSE standards

• Develop and manage project budgets, schedules, and resource plans

• Coordinate with stakeholders, contractors, and vendors to define project goals and execution strategy

• Oversee procurement, contractor selection, negotiation, and contract management

• Manage construction documents, change orders, and project closeout documentation

• Identify and implement value engineering and cost-saving opportunities

• Track project performance, risks, and issues; implement mitigation plans

• Provide regular project updates and maintain strong stakeholder communication

• Ensure construction quality control and adherence to industry standards

• Manage governance and reporting structures across regional stakeholders

What You’ll Need

• Bachelor’s degree in Construction Management, Engineering, or related field (or equivalent experience)

• Proven experience as Construction Manager / Director, preferably in mission-critical infrastructure

• Strong knowledge of construction methodologies and best practices

• Familiarity with MEP systems and large-scale facility construction

Advantageous

• Experience in data centers, colocation, hyperscale, or high-availability facilities

• Experience managing large contractors and EPC vendors

• Familiarity with risk management frameworks and governance standards
  

  
  How to Apply Click Apply now or send your resume directly to Talent@BuildBridgePartners.com
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd

  EA License No: 25C2918

  EA Reg No: R1551092 Khoo Yan Jie

Key Responsibilities

·      Lead the design and implementation of ESG data, reporting, and analytics solutions across the organization.

·      Define technical architecture, data models, and integration frameworks for ESG data platforms.

·      Collaborate with business stakeholders, sustainability teams, and technology teams to translate ESG reporting requirements into scalable technical solutions.

·      Provide technical leadership to data engineering, analytics, and data science teams throughout the solution lifecycle.

·      Drive the development of ESG dashboards, KPIs, scorecards, and performance monitoring frameworks.

·      Oversee the ingestion, transformation, validation, and management of ESG datasets, including carbon emissions, sustainability metrics, and regulatory reporting data.

·      Establish and enforce ESG data governance, data quality, metadata management, and reporting standards.

·      Ensure ESG solutions align with global reporting frameworks and regulatory requirements, including GRI, SASB, TCFD, ISSB, and other emerging standards.

·      Review technical designs, code, and implementation approaches to ensure scalability, reliability, and maintainability.

·      Lead system integration efforts across internal and external ESG data sources and reporting platforms.

·      Support advanced analytics initiatives, including predictive modeling, sustainability insights, and ESG risk analysis.

·      Manage technical delivery, project planning, risk management, testing, and production deployments.

·      Mentor technical team members and promote best practices in data engineering, analytics, and ESG technology solutions.

·      Act as the primary technical advisor for ESG-related initiatives and stakeholder engagements.

Required Skills and Experience

·      Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Sustainability, Finance, or a related discipline.

·      5+ years of experience in data, analytics, or technology delivery roles, with at least 2 years in a technical leadership capacity.

·      Strong understanding of ESG concepts, sustainability reporting frameworks, and regulatory requirements.

·      Proven experience designing and delivering enterprise-scale data and analytics solutions.

·      Strong expertise in data architecture, data modeling, ETL/ELT processes, and data governance frameworks.

·      Hands-on experience with data visualization and analytics platforms such as Power BI or Tableau.

·      Proficiency in SQL and working knowledge of Python or R for data analysis and automation.

·      Familiarity with cloud-based data platforms and modern data engineering technologies.

·      Experience leading cross-functional teams within Agile delivery environments.

·      Strong knowledge of data quality, master data management, and reporting controls.

·      Excellent stakeholder management, communication, and leadership skills.

·      Ability to bridge business objectives with technical implementation and drive successful project outcomes.

Preferred Qualifications

·      Experience within financial services, banking, consulting, or sustainability-focused organizations.

·      Exposure to ESG data providers, sustainability reporting platforms, or regulatory reporting systems.

·      Knowledge of machine learning, predictive analytics, or advanced statistical modeling techniques.

·      Relevant certifications in ESG, sustainability reporting, cloud technologies, or data management are advantageous.

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

The Opportunity

A global owner-operator of mission-critical infrastructure is seeking a Regional Commissioning Director to lead commissioning strategy and execution across its Asia Pacific portfolio.

This role is designed for a senior commissioning leader ready to transition from project-level delivery into regional ownership, setting standards, improving repeatability, and driving long-term operational efficiency across multiple large-scale developments.

You will work closely with development, engineering, delivery, and operations teams to ensure consistent, high-quality commissioning outcomes across diverse regulatory and technical environments.

Key Responsibilities

• Lead regional commissioning strategy for large, mission-critical facilities across APAC

• Manage internal commissioning teams and external consultants across multiple countries

• Establish and govern commissioning standards, methodologies, and best practices

• Oversee commissioning planning, sequencing, and execution for complex, multi-phase developments

• Drive continuous improvement initiatives to enhance delivery efficiency and reduce risk

• Support procurement activities related to commissioning services and critical systems

• Review commissioning scopes, schedules, and budgets to ensure alignment with project objectives

• Conduct design and constructability reviews in collaboration with engineering and delivery teams

• Ensure effective coordination between commissioning, construction, and operations for smooth handover

• Act as a senior stakeholder interface for internal teams, delivery partners, and customers

• Promote a strong safety, quality, and compliance culture across all commissioning activities

Candidate Profile

• Degree in Mechanical, Electrical, or Building Services Engineering (or equivalent experience)

• 7+ years of experience in mission-critical commissioning, complex infrastructure delivery, or facility engineering

• Prior experience leading commissioning activities across multiple projects or regions

• Strong understanding of MEP systems and integrated systems testing in critical environments

• Experience working across diverse regulatory and cultural environments in Asia Pacific

• Familiarity with structured commissioning management tools and digital workflows

• Proven ability to lead teams, manage consultants, and influence senior stakeholders

• Clear, confident communicator with strong commercial and delivery acumen
  

  Why Join

  • Regional leadership role with genuine influence over how commissioning is delivered at scale

  • Exposure to large, complex infrastructure developments across high-growth APAC markets

  • Opportunity to shape standards and frameworks that will be reused across future projects

  • Long-term career growth within a well-capitalised, expanding platform

• How to Apply Click Apply now or send your resume directly to Talent@BuildBridgePartners.com
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd

  EA License No: 25C2918

  EA Reg No: R1551092 Khoo Yan Jie

The Rail Digitalisation Division is a cross-functional andmulti-disciplinary team set up to drive and deliver LTA’s Railway CommonData Platform (CDP), which includes data analytics and artificialintelligence capabilities to support rail performance andoperational/maintenance enhancements. You will be responsible for building the"intelligence layer" of the CDP, developing systems that not onlydetect anomalies in complex railway time-series data but also reason about themto provide clear, actionable outcomes for maintenance and operations.

We are seeking a Senior Data Scientist who excels at convertinguse cases into a data problem and analyzing data to generate value to supportdecision making. You should have a proven track record of deliveringend-to-end machine learning solutions—from data discovery and featureengineering to model deployment and monitoring. The ideal candidate balancesdeep technical expertise with a value-driven mindset, ensuring that analyticaloutputs directly translate to better cost efficiency and improved commuter experience.A degree in Data Science, Statistics, Computer Science, Engineering, or arelated quantitative field is required.

Technical Skills

• Modeling & Time-Series Analysis: Expert proficiency in Python and SQL. Deep experience in time-series forecasting and anomaly detection (e.g., Z-score, growth rate analysis, and statistical thresholds).
• Data Engineering Synergy: Competence with modern data stacks (e.g., Snowflake, Databricks) and real-time data ingestion via APIs to build scalable, production-ready pipelines.
• MLOps & Automation: Experience in managing the full ML lifecycle, focusing on "operational AI" that triggers automated workflows or maintenance alerts.
• Visualization & UI Collaboration: Ability to translate complex model outputs into requirements for UI/UX designers to create intuitive, data-rich enterprise dashboards.
• Decision Intelligence: Proven ability to build autonomous systems that go beyond simple detection, including experience with AI agents that combine statistical triggers with LLM-based reasoning to automatically categorise, prioritise, and/or escalate operational issues.

Key Attributes

• Analytical Problem Solver: Strong ability to take vague operational "pain points" and structure them into rigorous analytical frameworks that drive ROI.
• Stakeholder Management: Exceptional communication skills to explain algorithmic logic and "uncertainty" to non-technical stakeholders.
• Proactive Learner: A self-starter who stays updated on the latest in Agentic AI and can independently drive design initiatives end-to-end.
• Collaborative: High comfort level working in a "squad" format alongside UI/UX designers, Product Managers, and Railway Engineers.

Requirements

• Background knowledge in Computer Engineering, Data Science, Statistics, Computer Science, Engineering, Business and Commerce or a related quantitative field is required.
• At least 5 years of relevant experience in data science, preferably with data-heavy industrial or enterprise products.
• Experience in transportation, IoT, or large-scale condition-monitoring systems with AI agents is advantageous.
• Successful candidates may be expected to undertake technical assessments or case study presentations as part of the interview process.

As part of the shortlisting process for the role,you may be required to complete a medical declaration and / or undergo furtherassessment.

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

Job Summary

· Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and software.

· Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

· Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Key Requirements

Skills:

· Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

· Knowledge of Power Automate is a plus.

Experience & qualifications

· Minimum 4-7 years of relevant experience for Senior Executive level.

· Proven, data-driven marketing, campaign executive, and lead-generation experience.

· Demonstrated leadership potential: able to set direction, guide sales priorities and actions, and drive execution.

· Minimum Bachelor’s degree. Degree in Marketing, Business and Engineering will be prioritized.

Personal qualities

· Proactive in proposing ideas for sales performance improvement

· Curious to investigate the reasons behind any outcomes

· Purpose-driven mindset, always questioning the 'why' behind actions

· High hospitality standards, akin to a first-class hotel, understanding and anticipating others' needs

· Ready to take immediate action

· Meticulous and likes to double-check completed assignments, committed to thoroughness in achieving decided objectives

What We Offer

· Culture: Empowerment within the scope of data performance, flat hierarchy, respect for frontliners' opinions, teamwork in problem-solving

· Environment: A hardworking and talented team, a company where diligent and steady performers thrive, rational and grounded in reason

About the job

Reporting to the Data and Analytics Lead, the successful candidate will be responsible for the following:

Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices.

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract, transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning the data system, identifying and resolving performance bottlenecks and issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with the data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; Master’s degree preferred.
• At least ten years of work experience in data management disciplines, including data integration, modelling, optimisation, and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• At least four years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases, including SQL and NoSQL, is a must, while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices, including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools, including Unity Catalogue and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.
• Align with and demonstrate the company's Core Values, which are Integrity, Teamwork, Accountability, Agility, and Ambition.

“The way to get started is to quit talking and begin doing.”

– Walt Disney

Royal Organisation is looking for individuals from any background who is hungry to learn, creative and driven.

You will be supported, coached from scratch, and be given opportunities to reward yourself for what you have worked hard for.

YOU WILL GET

• Personalised mentorship

• Personal development workshops and skillsets

• Vibrant and closely-knitted team environment

YOU MUST BE

• A keen and humble learner

• Comfortable in promoting and communicating verbally

• Ambitious but possess strong interpersonal skills

• Creative combined with persistence and perseverance

YOU WILL BE

• Conveying the value of our client's product/services to prospective customers

• Partnering closely with the sales team to refine and deliver presentations

• Learning to handle and lead your sales team

PERKS:

• Travelling opportunities

• Strive in a fully performance-based industry

Join us now to advance and become a better version of yourself!

Site Engineer

• Working Days: 5 Days A Week (Monday – Friday), 8.30am to 5.30pm, Saturday may need to work half day depends on project (Can claim OT)

• Office at City Hall, Project site at Changi Airport

• Salary: $3800 to $5400

• Bachelor's Degree in Civil & Structure Engineering

Interested applicants can also send your resume to (Liwenpoh741#gmail.com) and allow our consultant to match you with our clients. No Charges will be incurred by Candidates for any service rendered.

WA ME 97354019 for more Site Engineer role

Job scopes

• To coordinate with consultants / subcontractors on the shop drawings / samples / method statements and keep all involved parties updated of the latest changes.

• To attend to project / technical meeting and resolve site issues with owner / consultants in order for the site progress to proceed smoothly.

•  To verify the work done on site are in accordance to the approved drawings / specifications / authority’s requirement and also ensured that the subcontractor carry out rectification for non-compliance.

• To resolve site issues with consultants / subcontractor / supplier ASAP in order to minimise delay to the construction progress.

• To ensure that the related documentations are updated and ready for ISO audit.

• To cooperate with the safety department and carry out the assigned duties within the safety framework.

• Assist site management team in project Planning & coordination.

• Arrange and prepare documents for authorities’ submission for Conquas, RI, TOP etc.

POH LI WEN REG NO: R25136683

THE SUPREMEHR ADVISORY PTE LTD EA NO: 14C7279

Job Description

• Execute full-cycle recruitment activities, including sourcing candidates through job postings, referrals, and various channels.
• Build and maintain strong relationships with candidates by understanding their career goals and managing their expectations throughout the hiring process.
• Oversee administrative matters related to candidates, including payroll processing and benefits coordination.
• Identify and pursue new business opportunities to expand the client base and support company growth.
• Manage client accounts by understanding hiring requirements and delivering suitable talent solutions.
• Work closely with internal teams and external stakeholders to ensure smooth recruitment operations and client satisfaction.

Requirements

• Bachelor’s Degree in any discipline.
• Excellent communication and interpersonal abilities.
• Able to handle multiple tasks in a fast-paced environment.
• Self-motivated, proactive, and results-oriented.
• Strong organizational and problem-solving skills.

All qualified applicants, please send in your resume to:

triciagoh@recruitexpress.com.sg

Tricia Celestine Goh (R1981653)
Recruit Express Pte Ltd | Company Reg. No.199601303W | EA License Number: 99C4599