Total 5,279 Others data entry job vacancies in Hong Kong

The Data Center Operations Engineer is responsible for the daily operation, maintenance, and optimization of data center infrastructure, including electrical, HVAC, and ELV systems. This role ensures facility reliability, safety, and efficiency through proactive monitoring, risk management, and continuous improvement.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

of data center electrical, HVAC, and ELV systems, ensuring stable and continuous operation.

Execute scheduled preventive maintenance (PM) plans and handle system faults promptly and accurately.

Conduct facility safety, risk, capacity, and availability management, continuously optimizing systems to improve operational efficiency and cost-effectiveness.

Maintain infrastructure data accuracy (100%), regularly check alarm configurations, and ensure monitoring platform stability and reliability.

Conduct facility inspections per company requirements, including equipment status checks, MOP (Method of Procedure) review, and maintenance tracking.

Respond rapidly to incidents and emergencies following EOP (Emergency Operation Procedures) and incident management standards; provide on-site support and reporting.

Analyze root causes of incidents, conduct post-event reviews, and summarize lessons learned for continuous improvement.

Familiarize with the power distribution, cooling, and ELV architecture within assigned data centers; quickly locate and resolve faults when issues occur.

Prepare and implement change MOPs independently, ensuring no incidents result from planned changes.

Participate in optimization and upgrade projects, ensuring smooth on-site execution and coordination.

Propose technical improvements or modification plans for infrastructure monitoring, capacity, safety, and availability.

Provide technical guidance, mentorship, and training for frontline operation staff.

Ensure quick response and arrival per incident management policy.

Strictly comply with all operational procedures, safety policies, and company regulations.

Complete other assignments as defined in the Service Contract, Outsourcing Specification, or as required by the company or project team.
Qualifications

Education: Full-time college diploma or above (Associate Degree or higher).

Major: Electrical Engineering, HVAC, or other related disciplines.

Experience: Minimum 3 years of relevant experience in data center facility operation and maintenance.

Strong understanding of data center infrastructure systems, including electrical distribution, cooling, ELV, and monitoring systems.

Familiar with mainstream facility brands and models, capable of identifying differences and proposing optimization suggestions.

Demonstrated ability to conduct root cause analysis and implement effective preventive actions.

Capable of independent MOP preparation and execution with zero error rate.

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.

As a Data Scientist under Manufacturing Science & Technology (MS&T) Department, you will be primarily responsible for driving automation initiatives within the Manufacturing Science & Technology team by managing system changes, enhancements, and validations while ensuring compliance with project documentation and SOPs. Supports SMART manufacturing projects through data analysis, reporting tool administration, and system support to enable efficient, data-driven operations.

In this role, a typical day will include:

• Manage system change and related enhancement/bug fix, review project documentation and related SOPs and perform system validation
• Analyzes data to generate insights and predictions
• Maintain, support and administrate reporting tool and related applications.
• Lead and support SMART Manufacturing/Automation initiatives related projects. Develop/review project documentations and related SOPs.
• Perform system/software validation

WHAT YOU’LL BRING TO ALCON:

• Bachelor degree of related fields (computer science or equivalent)
• Proficient in any programming language is required for this role
• Minimum 3 - 5 years relevant working experience in IT software development lifecycle, system implementation and system maintenance and supports.
• Hands on knowledge on automation engineering, PLC/SCADA/MES systems, Microsoft SQL/Oracle/Access database/Python/R/Microsoft Visual Basic/C#/ASP.net programming and IT (Infrastructure and Network).
• Knowledge on 21 CFR Part 11 (computerized system validation) is preferred but not a MUST
• Training will be provided for those without experience

HOW YOU CAN THRIVE AT ALCON:

• Good team player
• Enjoy working with various cross functional team across manufacturing site

Alcon Careers

See your impact at alcon.com/careers

About the Role
The Project Engineer will work closely with project leads, clients, vendors, and technicians to ensure smooth project execution from construction phase to data center handover.

Key Responsibilities

• He is responsible for monitoring, maintaining the Data Centre and coordinating the deployment, installation, and commissioning of data center infrastructure and IT systems, including power, cooling, fire suppression systems, and IT systems performance managing cabling works, server and network equipment setup, troubleshooting, and ensuring adherence to project timelines, quality standards, and safety requirements.
• He will need to manage end‑to‑end delivery of Data Centre projects, ensuring quality, safety, and compliance with local regulations.
• He will need to coordinate with internal teams, consultants and contractors to achieve project milestones and oversee project budgets, schedules and resources to ensure successful completion.
• After the completion of the projects, he will need to prepare project reports, documentation and updates for management and clients.
• He also needs to respond to alarms, faults, and emergency situations, and implement solution.

Requirements

• Diploma or Degree in Mechanical & Electrical Engineering, Building & Construction, or a related discipline.
• Min 4 years of Data Centre project experience is preferred and local project experience in Singapore is required.
• Strong hands-on technical capability on Data Centres, coupled with project planning and coordination skills.

• Prior hands-on experience in data center environments including rack & stack, cabling, patching, and hardware installation.
• Basic knowledge of data center cooling, airflow management, and power redundancy systems.
• Candidates with other mission‑critical or high‑spec project experience (e.g. hospitals, airports, large commercial builds) are welcome to apply.
• Ability to work in fast‑paced environments and deliver under tight deadlines.

• Some experience and knowledge of MEP equipment such as UPS, generator, Chiller, Pump, cooling tower is preferred

You will be responsible for the end-to-end softwaredevelopment and support for all work related to Enterprise Data Warehouse (EDW)projects, quarterly change requests, L3 production fixes. This includessoftware product implementation and administration, application design,development, implementation, testing and support. You will be expected to workon Data team.

You will also be responsible for quality assurance of the team’s delivery inconformance with the Bank-defined software delivery methodology and tools. Youwill partner with other technology functions to help deliver requiredtechnology solutions.

• Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)
• Effectively partner with citizen data scientists in enabling faster adoption of AL/ML model based systems
• Independently install, customise and integrate software packages and programs
• Carry out POCs involving new data technologies
• Design and develop application frameworks for data integration
• Create technical documents such as solution design, program specifications for target solutions
• Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation Maintain and recommend software improvements to ensure a platform centric management of software applications
• Performance tuning
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

• Hands-on experience in implementing large scale data warehouse, Data mart & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:
• Experience in Data Modeling, Data mapping for Data Warehouse and Data Marts solutions
• Expertise in FSLM or similar industry models
• Expertise in Reference data management – Tools experience such as MDM (Master Data Management)
• Experience in functional domain - Retail , Wholesale, Compliance , Digital
• Experience in analytics - Retail Analytics
• Expertise in design of role based fine grained access control
• Designing cloud ready data solutions, Virtualization  

• Technical skillsets -ML Model operationalization, Building Data Pipelines and Hadoop based Data marts
• Expertise in implementing Big Data frameworks using multiple SQL engine such as Spark, Impala, Hive, etc
• Expertise in implementing Hadoop based Data mart using Spark based framework (Java, Scala, Pyspark)
• Leverage LLM model to build intelligent data applications (eg: Natural Language based SQL generation)
• Experience in end to end AI / ML life cycle (Data pipeline, model training, Model development, deployment, fine tuning, etc)
• Expertise in building Data federation solution(Trino, Presto, Dremio, Query Grid) along with Data caching / Indexing
• Experience in working with any of Data Catalog tools and Automating Data Quality checks using frameworks
• Good Working experience in core technical area using Python, Java, PySpark and Scala
• Expertise in Cloudera CDP components
• Good knowledge in developing Spark based ingestion framework (Java, Scala, Pyspark)
• Experience in building and operationalising feature pipeline to support AI/ML model execution, data pipelines for supporting large scale data warehouse/data marts

• Additional requirements - 2 to 3 technical certifications from enclosed list:
• Cloudera Hadoop distribution–Hive, Impala, Spark, Kudo, Kafka, Flume
• Teradata–Bteq, Query Grid, GCFR, MDM, TAS, Data Mover, BAR
• Informatica Data Integration – PC, IDR, BDM, MM, IDQ, EDC
• Data modelling tools (Erwin)
• QlikSense
• Microsoft – R
• Data science workbenches – Cloudera Machine Language, Jupyter, DataRobot, H2O.AI, IBM DSX
• Data Virtualization tool (Denodo, Dremio)
• AS400
• Language – SQL, Java, Python, Scala, Pyspark
• Automation / scripting – CtrlM, Shell Scripting, Groovy

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

About the Role

We are looking for a motivated Data Management Intern to support our data quality, analysis, and process improvement initiatives. This role provides hands-on exposure to real operational data, data visualization, and automation tools within a business environment.

You will work closely with the supervisor to ensure data accuracy, generate useful insights, and improve internal data workflows.

Job Scope

• Data Cleaning & Management: Assist in cleaning and validating customer, supplier, and inventory master data to ensure accuracy, consistency, and completeness.

• Data Analysis & Insights: Perform data analysis to identify trends, patterns, and insights that support operational and business decision-making.

• Data Visualization & Reporting: Create and maintain dashboards and reports to help users monitor key information (knowledge of Power BI is an advantage).

• Process Improvement & Automation: Review existing data management processes and propose improvements, including using Microsoft tools such as Microsoft Lists, Power Apps, and Power Automate.

• Communication & Support: Present insights using data storytelling techniques and assist the supervisor with ad-hoc data analysis, reporting, and related tasks.

Requirements

• Currently pursuing a Degree in Data Analytics, Business Analytics, Information Systems, Computer Science, or a related field.

• Knowledge of Microsoft Excel and data analysis concepts.

• Familiarity with Power BI or other data visualization tools is an advantage.

• Interest in data management, analytics, and process improvement.

• Knowledge of Microsoft Power Platform (Power Apps, Power Automate, or Microsoft Lists) is a plus.

• Strong attention to detail, analytical thinking, and problem-solving skills.

• Self-motivated, proactive, and able to work independently with guidance from a supervisor.

• 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

Roles & Responsibilities

The Rotating Shift Technician is responsible for supporting 24×7 data centre operations, ensuring the reliability, safety, and continuity of all Mechanical & Electrical (M&E), critical infrastructure, and facilities systems in accordance with approved procedures, service level agreements (SLAs), and safety requirements.

·      Perform continuous monitoring, routine patrols, and inspection of data centre infrastructure, critical facilities, and associated equipment.

·      Manage day-to-day maintenance coordination, and escalate any critical troubleshooting requirements that needs to be conducted by manufacturers.

·      Conduct routine checks of M&E and critical systems performance.

·      Record and report daily operating conditions, abnormalities, and system status.

·      Supervise and oversee OEMs, subcontractors, and service vendors performing works on electrical, mechanical, fire, and critical facilities systems.

·      Ensure all vendors deliver competent, safe, and quality services in compliance with contractual obligations, site rules, and safety requirements.

·      Coordinate and monitor scheduled and ad-hoc vendor activities, ensuring proper documentation and work completion.

·      Promptly respond to incidents, alarms, and emergency situations.

·      Execute incident escalation in accordance with approved escalation matrices and emergency response procedures.

·      Provide standby and emergency support when activated, including shift stand-in or additional coverage as required.

·     Ensure proper handover and takeover of duties during shift changes.

·      Carry out duties that comply with approved SOPs (Standard Operating Procedures), MOPs (Method of Procedures), and EOPs (Emergency Operating Procedures).

·      Carry out all work strictly in accordance with site processes, operational governance, and safety regulations.

Job Purpose

The primary purpose of this position is to research, analyze, interpret, transform and present reference data for fixed income securities as well as reference data pertaining to those issuers themselves that bring fixed income debt to market.

Proficiency in English and Mandarin language is essential to communicate with Mandarin stakeholders

The incumbent must successfully complete a three month training program that centers on building enough subject matter expertise and the utilization of the database(s) of record such that the incumbent can independently analyze legal and financial documents associated with securities containing less complex fixed income structures. During training, the incumbent must master all of the subject matter and will be required to pass a series of quizzes and tests as well achieve the accuracy and timeliness metrics that were established for trainees.

The training curriculum for the Data Analyst contains high level overviews of the complex structures worked on by more senior personnel as well as reference data client use cases so that the incumbent can differentiate between legal and financial language that is relevant to and required by our client base versus jargon describing information that is not required and, so that the incumbent can identify new financing techniques that come to market. The incumbent must then apply this foundation of knowledge via a logical sequence of decision making events to determine relevancy of said information to our clients for any of their use cases and if deemed relevant, determine the appropriate next steps to ensure high client satisfaction levels. 

The fixed income market consists of over two million active securities and the reference data provided by ICE Data Services for said securities is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements and conduct other back office functions. Our reference data is also used by internal stakeholders such as the Evaluated Pricing, Index and Analytics groups said reference data plays an integral role in determining evaluated prices, determining whether or not a security should be added to or deleted from an index or indices, the weighted average of a security within an index and, performing a series of analytical calculations that are used both internally within ICE and externally by these stakeholder’s clientele.

Responsibilities

• Analyze, interpret, collate and transform reference data provided in a variety legal and financial documents, third party reports and vendor information while ensuring that the reference data provided in ICE’s products and services accurate, comprehensive and in a timely manner, namely best in class
• Make sound, subjective decisions when interpreting legal and financial information by utilizing subject matter expertise to infer, deduce and ultimately draw the right conclusions
• Provide customer support for users of ICE products by resolving inquiries in a timely manner
• Craft external facing responses for those clients that submitted customer inquiries containing a meaningful, well-thought out, well-constructed answer that includes a restatement of the challenge or question, the analysis completed to satisfy the request and where appropriate, the methodology used to determine the solution
• Procure required documents and/or trusted content utilizing creative internet searches and by conducting direct outreach to issuers, underwriters, fiduciary agents and bond counsel
• Apply problem-solving skills to identify innovative work-flow efficiencies and process improvements resulting in increased accuracy levels, time to market and productivity
• Help identify trends and causation of inaccurate and/or incomplete data
• Participate in ad hoc projects to optimize processes and/or improve the quality of the data set
• Create charts, graphs and presentations for leadership teams
• Use Excel functions to organize, analyze and create reference data

Knowledge and Experience

• Proficiency in English and Mandarin language is essential to communicate with Mandarin stakeholders
• BA/BS in Finance, Economics, or equivalent practical experience
• Demonstrated, relevant work experience directly working in fixed income reference data operations or customer service
• Ability to work in a fast paced, high pressured, fluid environment
• Ability to distill large amounts of information into specific takeaways
• Excellent attention to detail and high degree of demonstrated decision-making and problem solving skills
• Excellent written and oral communication skills with proven ability to craft client-ready correspondences
• Eagerness to learn and collaborate with others
• Strong Excel skills required

We are looking for a

Data Center Engineer

 to support 24/7 operations at a leading client site (SG4) in Singapore, with occasional exposure to Taiwan DC.