31 Database Operations jobs in Hong Kong

Analytics Engineer- Data Operations & Governance

Crypto.com

Posted 10 days ago

Job Viewed

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Job Description

Analytics Engineer- Data Operations & Governance Analytics Engineer- Data Operations & Governance

2 weeks ago Be among the first 25 applicants

  • Data Operations & Governance: Own the accuracy, reliability, and structure of product and user-event data through robust governance practices; Define and enforce standards for event tracking, data schemas, and documentation across teams; Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams
  • Data Pipeline Development & Maintenance: Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks; Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis; Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting
  • Internal Tooling & Automation: Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies; Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders; Create reusable data models that support fast iteration and confident self-service analysis
  • Competitive Intelligence & Data Collection: Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends; Ensure scraping systems are stable, maintainable, and compliant with data privacy and ethical standards


Responsibilities:

  • Data Operations & Governance: Own the accuracy, reliability, and structure of product and user-event data through robust governance practices; Define and enforce standards for event tracking, data schemas, and documentation across teams; Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams
  • Data Pipeline Development & Maintenance: Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks; Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis; Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting
  • Internal Tooling & Automation: Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies; Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders; Create reusable data models that support fast iteration and confident self-service analysis
  • Competitive Intelligence & Data Collection: Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends; Ensure scraping systems are stable, maintainable, and compliant with data privacy and ethical standards
Requirements:
  • Engineering Foundation: Strong SQL and working proficiency in Python or JavaScript for building and maintaining data infrastructure; Experience with modern data engineering tools (e.g., dbt, Airflow, Fivetran, Dagster); Familiarity with version control (Git), code modularization, and documentation practices
  • Data Quality & Governance Experience: Track record designing or maintaining data governance practices in product analytics environments (e.g., Segment, GA4, Mixpanel); Comfortable building QA checks, anomaly detection, and data validation processes; Familiarity with data governance education and data governance related stakeholder management
  • Operational Mindset: Comfortable being on point for data issues, debugging pipeline failures, and ensuring continuity in reporting and dashboards; Ability to set up alerting/logging mechanisms to proactively detect and respond to data problems
  • Collaboration & Communication: Strong written and verbal communication skills to align with product, engineering, and business teams; Able to translate business questions into engineering requirements and technical work into stakeholder-friendly language
  • Preferred Qualifications: Prior experience / knowledge on data science / machine learning; Prior experience on hands-on data engineering; Understanding of data operation & governance in analytics workflows; Experience supporting data for experimentation or A/B testing pipelines
Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology

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Wan Chai District, Hong Kong SAR 1 month ago

Junior Data Center Engineer - Global Hedge Fund - Hong Kong Data Engineer – Exchange Fund Investment Office Python Senior Software Engineer (Financial Data) Data Engineer - Anti Financial Crime (Business Analysis Manager) Senior Data Engineer - US Tech Firm - Up to HKD$120k

Central, Hong Kong SAR SGD800.00-SGD1,200.00 3 months ago

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Analytics Engineer- Data Operations & Governance

Hong Kong, Hong Kong Crypto.com

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

Analytics Engineer- Data Operations & Governance Analytics Engineer- Data Operations & Governance

2 weeks ago Be among the first 25 applicants

  • Data Operations & Governance: Own the accuracy, reliability, and structure of product and user-event data through robust governance practices; Define and enforce standards for event tracking, data schemas, and documentation across teams; Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams
  • Data Pipeline Development & Maintenance: Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks; Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis; Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting
  • Internal Tooling & Automation: Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies; Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders; Create reusable data models that support fast iteration and confident self-service analysis
  • Competitive Intelligence & Data Collection: Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends; Ensure scraping systems are stable, maintainable, and compliant with data privacy and ethical standards


Responsibilities:

  • Data Operations & Governance: Own the accuracy, reliability, and structure of product and user-event data through robust governance practices; Define and enforce standards for event tracking, data schemas, and documentation across teams; Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams
  • Data Pipeline Development & Maintenance: Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks; Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis; Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting
  • Internal Tooling & Automation: Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies; Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders; Create reusable data models that support fast iteration and confident self-service analysis
  • Competitive Intelligence & Data Collection: Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends; Ensure scraping systems are stable, maintainable, and compliant with data privacy and ethical standards
Requirements:
  • Engineering Foundation: Strong SQL and working proficiency in Python or JavaScript for building and maintaining data infrastructure; Experience with modern data engineering tools (e.g., dbt, Airflow, Fivetran, Dagster); Familiarity with version control (Git), code modularization, and documentation practices
  • Data Quality & Governance Experience: Track record designing or maintaining data governance practices in product analytics environments (e.g., Segment, GA4, Mixpanel); Comfortable building QA checks, anomaly detection, and data validation processes; Familiarity with data governance education and data governance related stakeholder management
  • Operational Mindset: Comfortable being on point for data issues, debugging pipeline failures, and ensuring continuity in reporting and dashboards; Ability to set up alerting/logging mechanisms to proactively detect and respond to data problems
  • Collaboration & Communication: Strong written and verbal communication skills to align with product, engineering, and business teams; Able to translate business questions into engineering requirements and technical work into stakeholder-friendly language
  • Preferred Qualifications: Prior experience / knowledge on data science / machine learning; Prior experience on hands-on data engineering; Understanding of data operation & governance in analytics workflows; Experience supporting data for experimentation or A/B testing pipelines
Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology

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Wan Chai District, Hong Kong SAR 1 month ago

Junior Data Center Engineer - Global Hedge Fund - Hong Kong Data Engineer – Exchange Fund Investment Office Python Senior Software Engineer (Financial Data) Data Engineer - Anti Financial Crime (Business Analysis Manager) Senior Data Engineer - US Tech Firm - Up to HKD$120k

Central, Hong Kong SAR SGD800.00-SGD1,200.00 3 months ago

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Data Center Operations Engineer

Interactive Brokers

Posted 10 days ago

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Job Description

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Company Overview

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

Company Overview

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

Data Center Operations Engineer

We have the following full-time job opening for a professional, motivated and technologically oriented candidate:

Job Description & Responsibilities

This role will require the candidate to manage and maintain our Singapore data center. Coordinating hardware installations, repairs, shipments and all other IT related requests from our Network, Linux and Windows teams, will be amongst the top responsibilities.

Additionally, the candidate will need to manage all technical spaces as well as assist with all IT related requests in our Singapore office.

Additional Responsibilities Include

  • Physical Security and Building Management
  • Management of projects regarding construction/expansions
  • Infrastructure documentation and contract management
  • Work in a corporate group to further develop group wide standards
  • Workplace Management
  • Coordinate workplace setups, moves and transfers
  • Keep floor plans and other office documentation up to date

Qualification & Skills

  • 3-5 years' experience in an IT related field
  • Bachelor’s degree in information system or related field preferred
  • Strong organizational skills as well as ability to multitask
  • Good command of English. Cantonese and/or Mandarin a plus.

If you are motivated and have initiative, are analytical and methodical, we can offer you a position that will be both, challenging and rewarding. You will be part of a team that is not only building one of the world’s strongest trading and brokerage brands but also uses technology in all aspects of its business to generate prudent, controlled growth. We are looking forward to receiving your online application.

Company Benefits & Perks

  • Competitive Salary, annual performance-based bonus and stock grant
  • Excellent health and welfare benefits, including medical, dental, specialist and in-patient
  • Competitive package of Annual Leave
  • Daily lunch is ordered in-house with a fully stocked kitchen
  • Modern offices with multi-monitor setups
  • Great work-life balance
  • Unique opportunity to gain exposure to global financial products, markets and clientele
  • Opportunities for career progression and job scope expansion in a global company with a growing local presence
  • Hybrid work arrangement role permitting

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology

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Junior Data Center Engineer - Global Hedge Fund - Hong Kong Data Center Infrastructure Engineer , Data Center Operations Data Center Infrastructure Engineer , Data Center Operations Data Center Infrastructure Engineer , Data Center Operations Data Center Infrastructure Engineer , Data Center Operations System Engineer (Server, Network, Database, up to HKD 55,000) Software Engineer – IoT / Smart City Solution (REF: CESG/SE) Infrastructure Operations Engineer (GPU Computing) - Enterprise AI DCEO Engineer, Data Center Engineering Operations System Engineer (NetApp | Financial Institution | SI ) Network Engineer for Hongkong, Part-time/ Freelancing Infrastructure Support Engineer (Healthcare Sector) | 26K Electrical Engineer, Data Centre Facility Operation

Kwai Tsing District, Hong Kong SAR 2 weeks ago

Islands District, Hong Kong SAR 8 months ago

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Data Center Operations Engineer

Hong Kong, Hong Kong Interactive Brokers

Posted 3 days ago

Job Viewed

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Job Description

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2 weeks ago Be among the first 25 applicants

Join to apply for the Data Center Operations Engineer role at Interactive Brokers

Get AI-powered advice on this job and more exclusive features.

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Company Overview
Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

Company Overview
Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
Data Center Operations Engineer
We have the following full-time job opening for a professional, motivated and technologically oriented candidate:
Job Description & Responsibilities
This role will require the candidate to manage and maintain our Singapore data center. Coordinating hardware installations, repairs, shipments and all other IT related requests from our Network, Linux and Windows teams, will be amongst the top responsibilities.
Additionally, the candidate will need to manage all technical spaces as well as assist with all IT related requests in our Singapore office.
Additional Responsibilities Include

  • Physical Security and Building Management
  • Management of projects regarding construction/expansions
  • Infrastructure documentation and contract management
  • Work in a corporate group to further develop group wide standards
  • Workplace Management
  • Coordinate workplace setups, moves and transfers
  • Keep floor plans and other office documentation up to date
Qualification & Skills
  • 3-5 years' experience in an IT related field
  • Bachelor’s degree in information system or related field preferred
  • Strong organizational skills as well as ability to multitask
  • Good command of English. Cantonese and/or Mandarin a plus.
If you are motivated and have initiative, are analytical and methodical, we can offer you a position that will be both, challenging and rewarding. You will be part of a team that is not only building one of the world’s strongest trading and brokerage brands but also uses technology in all aspects of its business to generate prudent, controlled growth. We are looking forward to receiving your online application.
Company Benefits & Perks
  • Competitive Salary, annual performance-based bonus and stock grant
  • Excellent health and welfare benefits, including medical, dental, specialist and in-patient
  • Competitive package of Annual Leave
  • Daily lunch is ordered in-house with a fully stocked kitchen
  • Modern offices with multi-monitor setups
  • Great work-life balance
  • Unique opportunity to gain exposure to global financial products, markets and clientele
  • Opportunities for career progression and job scope expansion in a global company with a growing local presence
  • Hybrid work arrangement role permitting
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology

Referrals increase your chances of interviewing at Interactive Brokers by 2x

Sign in to set job alerts for “Data Center Engineer” roles.

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Junior Data Center Engineer - Global Hedge Fund - Hong Kong Data Center Infrastructure Engineer , Data Center Operations Data Center Infrastructure Engineer , Data Center Operations Data Center Infrastructure Engineer , Data Center Operations Data Center Infrastructure Engineer , Data Center Operations System Engineer (Server, Network, Database, up to HKD 55,000) Software Engineer – IoT / Smart City Solution (REF: CESG/SE) Infrastructure Operations Engineer (GPU Computing) - Enterprise AI DCEO Engineer, Data Center Engineering Operations System Engineer (NetApp | Financial Institution | SI ) Network Engineer for Hongkong, Part-time/ Freelancing Infrastructure Support Engineer (Healthcare Sector) | 26K Electrical Engineer, Data Centre Facility Operation

Kwai Tsing District, Hong Kong SAR 2 weeks ago

Islands District, Hong Kong SAR 8 months ago

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Lead, Data Centre Operations - Hong Kong

Standard Chartered

Posted 10 days ago

Job Viewed

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Job Description

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  • To provide leadership, direction, and continuous improvement for all aspects of Data Centre Operations for the sites responsible (two Global Data Centres in Hong Kong).
  • Ensuring that business requirements are met efficiently and in a timely fashion whilst ensuring compliance with the best practice for Data Centre operations, standards, policies, strategy, risk, and principles.

Responsibilities

Strategy

  • To provide leadership, direction, and continuous improvement for all aspects of Data Centre Operations for the sites responsible (two Global Data Centres in Hong Kong).
  • Ensuring that business requirements are met efficiently and in a timely fashion whilst ensuring compliance with the best practice for Data Centre operations, standards, policies, strategy, risk, and principles.

Business

  • To govern and oversee the Data Centre Operations of the two critical facilities in Hong Kong
  • Responsible for the planning and delivery of all supporting physical infrastructure, logistics, and the resources required to meet anticipated growth
  • Assist in implementing the service management methodologies including incident, problem, change and capacity management within our SLA commitments
  • To work closely with the local country managers and the asset management teams to improve data quality and eliminate the gaps
  • As part of service management, drive the Colocation vendors for continuous improvement and ensure the facilities are governed to ensure they are maintained to the required standard
  • Lead various projects and programs as needed to drive long-term objectives for the domain and beyond
  • Track the maintenance activities are conducted on the infrastructure on a periodical basis and established business continuity management practices are followed
  • End to End responsibly of the Data Centre Infrastructure Management solution and compliance

Processes

  • Identify process breakdowns across organizational workflows and implement solutions that improve effectiveness, improve processes continuously
  • Work with the regional security teams to implement the physical security, media disposal and Pipeline, Procurement and provisioning process
  • Identify the process areas that can be automated to yield cost saves and increase the efficiency in process across the function
  • Drive the capacity management and review the utilization of sites with focus on sustainability

People & Talent

  • Setup and coach staff to prepare for future with clear directions, monitor job descriptions and objectives
  • Identify and invest in talent to ensure the critical functions are skilled and qualified to perform the role
  • Lead by example to build an operational culture bind by values within and across the wider organisation
  • Drive efficiency and provide continuous feedback to ensure rewards are in line with the performance

Risk Management

  • Management of risk and control requirements covering internal and external audit engagements
  • Govern and oversee the regulatory inspections across the estate responsible
  • Take measures with focus on risk avoidance and channel risk remediation timely
  • As need arise, act promptly on known risk and control weakness that surface through the journey
  • Understanding of Operational Risk Framework and awareness to implement procedural changes

Governance

  • Manage and thrive to maintain the Control Design Effectiveness (CDE) and Control Operating Effectiveness (COE) of risk controls across the Data Centre sites with discipline
  • Maintain a culture of safety, security and compliance in all aspects of data centre operations
  • Enable local country managers for risk awareness and strong mitigation plans to minimize / eliminate

Regulatory & Business Conduct

  • Display exemplary conduct and live by the Group’s Values and Code of Conduct.
  • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
  • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
  • Lead to achieve the outcomes set out in the Bank’s Conduct Principles

Key Stakeholders

  • Head of Platform, Networks and Storage Services
  • Head of Property
  • Head of Security
  • Country Technology Management
  • Data Centre Colocation vendors
  • Group Internal Audit

Other Responsibilities

  • Embed Here for good and Group’s brand and values in Hong Kong Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)

Qualification

  • Education Bachelor or Masters in Computer Engineering
  • Training Data Centre Design, Management and Professional
  • Certifications Data Centres Management related certifications

Role Specific Technical Competencies

  • Data Centre Management
  • Data Centre Operations
  • Data Centre Facilities Management
  • Data Centre Risk Management
  • IT Asset Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together We

  • Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
  • Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
  • Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What We Offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

  • Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
  • Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
  • Flexible working options based around home and office locations, with flexible working patterns.
  • Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
  • A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
  • Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Seniority level
  • Seniority level Director
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Banking

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Get notified about new Data Specialist jobs in Kwun Tong District, Hong Kong SAR .

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Lead, Data Centre Operations - Hong Kong

Kowloon, Kowloon Standard Chartered

Posted 2 days ago

Job Viewed

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Job Description

Join to apply for the Lead, Data Centre Operations - Hong Kong role at Standard Chartered

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Join to apply for the Lead, Data Centre Operations - Hong Kong role at Standard Chartered

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  • To provide leadership, direction, and continuous improvement for all aspects of Data Centre Operations for the sites responsible (two Global Data Centres in Hong Kong).
  • Ensuring that business requirements are met efficiently and in a timely fashion whilst ensuring compliance with the best practice for Data Centre operations, standards, policies, strategy, risk, and principles.
Responsibilities
Strategy
  • To provide leadership, direction, and continuous improvement for all aspects of Data Centre Operations for the sites responsible (two Global Data Centres in Hong Kong).
  • Ensuring that business requirements are met efficiently and in a timely fashion whilst ensuring compliance with the best practice for Data Centre operations, standards, policies, strategy, risk, and principles.
Business
  • To govern and oversee the Data Centre Operations of the two critical facilities in Hong Kong
  • Responsible for the planning and delivery of all supporting physical infrastructure, logistics, and the resources required to meet anticipated growth
  • Assist in implementing the service management methodologies including incident, problem, change and capacity management within our SLA commitments
  • To work closely with the local country managers and the asset management teams to improve data quality and eliminate the gaps
  • As part of service management, drive the Colocation vendors for continuous improvement and ensure the facilities are governed to ensure they are maintained to the required standard
  • Lead various projects and programs as needed to drive long-term objectives for the domain and beyond
  • Track the maintenance activities are conducted on the infrastructure on a periodical basis and established business continuity management practices are followed
  • End to End responsibly of the Data Centre Infrastructure Management solution and compliance
Processes
  • Identify process breakdowns across organizational workflows and implement solutions that improve effectiveness, improve processes continuously
  • Work with the regional security teams to implement the physical security, media disposal and Pipeline, Procurement and provisioning process
  • Identify the process areas that can be automated to yield cost saves and increase the efficiency in process across the function
  • Drive the capacity management and review the utilization of sites with focus on sustainability
People & Talent
  • Setup and coach staff to prepare for future with clear directions, monitor job descriptions and objectives
  • Identify and invest in talent to ensure the critical functions are skilled and qualified to perform the role
  • Lead by example to build an operational culture bind by values within and across the wider organisation
  • Drive efficiency and provide continuous feedback to ensure rewards are in line with the performance
Risk Management
  • Management of risk and control requirements covering internal and external audit engagements
  • Govern and oversee the regulatory inspections across the estate responsible
  • Take measures with focus on risk avoidance and channel risk remediation timely
  • As need arise, act promptly on known risk and control weakness that surface through the journey
  • Understanding of Operational Risk Framework and awareness to implement procedural changes
Governance
  • Manage and thrive to maintain the Control Design Effectiveness (CDE) and Control Operating Effectiveness (COE) of risk controls across the Data Centre sites with discipline
  • Maintain a culture of safety, security and compliance in all aspects of data centre operations
  • Enable local country managers for risk awareness and strong mitigation plans to minimize / eliminate
Regulatory & Business Conduct
  • Display exemplary conduct and live by the Group’s Values and Code of Conduct.
  • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
  • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
  • Lead to achieve the outcomes set out in the Bank’s Conduct Principles
Key Stakeholders
  • Head of Platform, Networks and Storage Services
  • Head of Property
  • Head of Security
  • Country Technology Management
  • Data Centre Colocation vendors
  • Group Internal Audit
Other Responsibilities
  • Embed Here for good and Group’s brand and values in Hong Kong Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)
Qualification
  • Education Bachelor or Masters in Computer Engineering
  • Training Data Centre Design, Management and Professional
  • Certifications Data Centres Management related certifications
Role Specific Technical Competencies
  • Data Centre Management
  • Data Centre Operations
  • Data Centre Facilities Management
  • Data Centre Risk Management
  • IT Asset Management
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together We
  • Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
  • Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
  • Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What We Offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
  • Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
  • Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
  • Flexible working options based around home and office locations, with flexible working patterns.
  • Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
  • A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
  • Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Seniority level
  • Seniority level Director
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Banking

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Customer Operations Data Analyst

Prenetics

Posted 2 days ago

Job Viewed

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Job Description

Join to apply for the Customer Operations Data Analyst role at Prenetics

Join to apply for the Customer Operations Data Analyst role at Prenetics

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Prenetics (NASDAQ:PRE), a leading health sciences company, is dedicated to advancing consumer health. Our consumer initiative is led by IM8, a fast-growing health and wellness brand; Europa, one of the largest sports distribution companies in the USA; and CircleDNA, a leading direct-to-consumer DNA test. As the first healthcare company to establish a Bitcoin treasury with its initial $20 million Bitcoin purchase and board-approved comprehensive Bitcoin strategy, Prenetics is pioneering the intersection of healthcare innovation and digital asset adoption. The company will soon accept cryptocurrency payments across both IM8 Health and CircleDNA platforms, creating a complete Bitcoin ecosystem from treasury to operations. This includes exploring how blockchain technology can further enhance our genomics solutions, such as CircleDNA, by ensuring data integrity, privacy, and secure access to personalized health insights, while establishing new paradigms for corporate treasury management. Each of Prenetics' units synergistically enhances our global impact on health, embodying our commitment to "enhancing life through science". To learn more please visit prenetics.com and IM8health.com.

The role

Be the analytics backbone for Customer Operations across our Shopify commerce stack. From inventory coverage and fulfillment to subscription health and shipping SLAs, you’ll turn multi-source data into crisp, actionable insights and simple dashboards the team can use daily. You’ll also leverage AI tools and automation to speed up analysis, reduce manual work, and power always-on alerts.

What You’ll Do

Order fulfillment & inventory analytics

  • Build live views and weekly reports on order status, backorders, and exceptions.
  • Forecast demand and inventory coverage (days on hand, safety stock, reorder points), including product transitions (e.g., capsules → powder).
  • Model run-out dates and purchase timing; flag risks early and recommend reorder actions.

Subscription health & retention

  • Own core metrics: active/cancelled subs, cohort retention, acquisition rate, churn, M2/M3 conversion, reactivation.
  • Analyze cancellation survey data to pinpoint drivers; partner with CS/Growth on fixes and experiments.
  • Handle ad-hoc eligibility counts (e.g., Month-2/Month-3 gift qualification) and campaign backtests.

Shipping performance

  • Dive into AfterShip to monitor first-scan time, in-transit time, delivery time, on-time %, and exception codes by lane/carrier.
  • Identify bottlenecks (carrier, lane, warehouse handoff) and surface clear remediation plans.

AI-assisted analytics & automation

  • Use AI copilots (for example, ChatGPT/Claude/Gemini) to draft SQL/Sheet formulas, document pipelines, summarize survey text, and generate weekly highlights.
  • Build lightweight automations (Zapier/Make, Apps Script/VBA, Slack bots) for: SLA breach alerts, low-stock warnings, churn spikes, and exception triage.
  • Create LLM-powered parsers to normalize reason codes (cancellations, exceptions) and classify free-text at scale.
  • Implement QA assistants for reconciliation checks across Shopify, D365, subscription apps, and finance (e.g., variance explanations, anomaly detection).
  • Maintain prompt libraries and guardrails; track accuracy and drift over time.

Ad-hoc & rapid response

  • Triage urgent data issues; run quick anomaly deep-dives (e.g., sudden carrier delays, payment failures, SKU swaps).
  • Spin up one-off cohort/impact analyses for campaigns, promos, bundles, and pricing tests.
  • Prototype throwaway dashboards for new initiatives; harden the winners into repeatable views.
  • Stand up temporary scripts/notebooks to reconcile edge cases (preorders, partials, split shipments).
  • Field leadership questions with clear, time-boxed analyses and recommended actions.

Data plumbing & governance

  • Reconcile data between Shopify, Microsoft Dynamics 365 (D365), subscription apps, and finance.
  • Build/maintain robust Excel & Google Sheets models with documentation and QA checks.
  • Create lightweight SOPs and self-serve dashboards for CS/Ops.

Communication

  • Translate insights into simple narratives and action lists for Customer Ops, Growth, and Leadership.
  • Present weekly “what changed / why / what’s next” highlights.

You’ll be great at

Top-tier Spreadsheet Skills

  • Excel: dynamic arrays, Power Query, Power Pivot, XLOOKUP/INDEX-MATCH, SUMIFS/COUNTIFS, FILTER, REGEX*, pivots/charts, scenario modeling; VBA/macros a plus.
  • Google Sheets: ARRAYFORMULA, QUERY, FILTER, REGEX*, IMPORTRANGE; Apps Script a plus.

AI tooling & automation

  • Comfortable using AI copilots for analysis, documentation, and QC; able to design effective prompts and evaluation checks.
  • Experience wiring automations with Zapier/Make, Slack/Teams bots, Apps Script/VBA; bonus for API/LLM integration.
  • Commerce stack familiarity: Hands-on with Shopify (and ecosystem apps) and D365 data/objects; confident with ERP reconciliation.
  • Comfort using AfterShip (or similar) to extract and analyze delivery/transit metrics.
  • Strong business judgment: turn signals into clear operational recommendations.
  • Meticulous about data accuracy, reconciliation, and reproducibility; crisp documentation.

Nice to have

  • Experience with subscription platforms (e.g., Recharge, Skio) and CS tools (e.g., Gorgias/Zendesk).
  • BI/SQL/Python for deeper analysis (cohorts, LTV, forecast diagnostics).
  • Familiarity with inventory planning (lead time, EOQ, service levels).
  • LLM frameworks (e.g., LangChain) or basic API scripting for custom classifiers/parsers.

KPIs you’ll move

  • On-time delivery %, median transit time, exception rate
  • Inventory days-on-hand and stockout risk
  • Subscription churn/retention (overall & cohort), M2→M3 conversion
  • Data quality SLAs (reconciliation accuracy, refresh timeliness)

Tools

Excel, Google Sheets, Shopify & ecosystem apps, Microsoft Dynamics 365, AfterShip, AI copilots (ChatGPT/Claude/Gemini), Zapier/Make, Slack/Teams bots, (optional) SQL/Python/BI, Apps Script/VBA.

Join us to make a huge impact as we revolutionize healthcare. The thing we most value is working with talented, growth-minded people, who don’t hesitate to jump into creative problem solving. We don’t believe in up or out, we don’t believe in rest and vest. We want to give you the opportunity to grow with us. Neither your career nor Prenetics is a sprint — they’re both marathons.

In our hiring process, we look at building a team with three essential factors: adaptability, ability and passion. We’ve discovered the greatest achievements come from the right people working collaboratively towards a shared goal. As Prenetics and our vision continues to grow, you’ll have the opportunity to constantly change and evolve with us.

Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Temporary
Job function
  • Job function Information Technology

Referrals increase your chances of interviewing at Prenetics by 2x

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Customer Operations Data Analyst

Hong Kong, Hong Kong Prenetics

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

Join to apply for the Customer Operations Data Analyst role at Prenetics

Join to apply for the Customer Operations Data Analyst role at Prenetics

Get AI-powered advice on this job and more exclusive features.

Prenetics (NASDAQ:PRE), a leading health sciences company, is dedicated to advancing consumer health. Our consumer initiative is led by IM8, a fast-growing health and wellness brand; Europa, one of the largest sports distribution companies in the USA; and CircleDNA, a leading direct-to-consumer DNA test. As the first healthcare company to establish a Bitcoin treasury with its initial $20 million Bitcoin purchase and board-approved comprehensive Bitcoin strategy, Prenetics is pioneering the intersection of healthcare innovation and digital asset adoption. The company will soon accept cryptocurrency payments across both IM8 Health and CircleDNA platforms, creating a complete Bitcoin ecosystem from treasury to operations. This includes exploring how blockchain technology can further enhance our genomics solutions, such as CircleDNA, by ensuring data integrity, privacy, and secure access to personalized health insights, while establishing new paradigms for corporate treasury management. Each of Prenetics' units synergistically enhances our global impact on health, embodying our commitment to "enhancing life through science". To learn more please visit prenetics.com and IM8health.com.
The role
Be the analytics backbone for Customer Operations across our Shopify commerce stack. From inventory coverage and fulfillment to subscription health and shipping SLAs, you’ll turn multi-source data into crisp, actionable insights and simple dashboards the team can use daily. You’ll also leverage AI tools and automation to speed up analysis, reduce manual work, and power always-on alerts.
What You’ll Do
Order fulfillment & inventory analytics

  • Build live views and weekly reports on order status, backorders, and exceptions.
  • Forecast demand and inventory coverage (days on hand, safety stock, reorder points), including product transitions (e.g., capsules → powder).
  • Model run-out dates and purchase timing; flag risks early and recommend reorder actions.
Subscription health & retention
  • Own core metrics: active/cancelled subs, cohort retention, acquisition rate, churn, M2/M3 conversion, reactivation.
  • Analyze cancellation survey data to pinpoint drivers; partner with CS/Growth on fixes and experiments.
  • Handle ad-hoc eligibility counts (e.g., Month-2/Month-3 gift qualification) and campaign backtests.
Shipping performance
  • Dive into AfterShip to monitor first-scan time, in-transit time, delivery time, on-time %, and exception codes by lane/carrier.
  • Identify bottlenecks (carrier, lane, warehouse handoff) and surface clear remediation plans.
AI-assisted analytics & automation
  • Use AI copilots (for example, ChatGPT/Claude/Gemini) to draft SQL/Sheet formulas, document pipelines, summarize survey text, and generate weekly highlights.
  • Build lightweight automations (Zapier/Make, Apps Script/VBA, Slack bots) for: SLA breach alerts, low-stock warnings, churn spikes, and exception triage.
  • Create LLM-powered parsers to normalize reason codes (cancellations, exceptions) and classify free-text at scale.
  • Implement QA assistants for reconciliation checks across Shopify, D365, subscription apps, and finance (e.g., variance explanations, anomaly detection).
  • Maintain prompt libraries and guardrails; track accuracy and drift over time.
Ad-hoc & rapid response
  • Triage urgent data issues; run quick anomaly deep-dives (e.g., sudden carrier delays, payment failures, SKU swaps).
  • Spin up one-off cohort/impact analyses for campaigns, promos, bundles, and pricing tests.
  • Prototype throwaway dashboards for new initiatives; harden the winners into repeatable views.
  • Stand up temporary scripts/notebooks to reconcile edge cases (preorders, partials, split shipments).
  • Field leadership questions with clear, time-boxed analyses and recommended actions.
Data plumbing & governance
  • Reconcile data between Shopify, Microsoft Dynamics 365 (D365), subscription apps, and finance.
  • Build/maintain robust Excel & Google Sheets models with documentation and QA checks.
  • Create lightweight SOPs and self-serve dashboards for CS/Ops.
Communication
  • Translate insights into simple narratives and action lists for Customer Ops, Growth, and Leadership.
  • Present weekly “what changed / why / what’s next” highlights.
You’ll be great at
Top-tier Spreadsheet Skills
  • Excel: dynamic arrays, Power Query, Power Pivot, XLOOKUP/INDEX-MATCH, SUMIFS/COUNTIFS, FILTER, REGEX*, pivots/charts, scenario modeling; VBA/macros a plus.
  • Google Sheets: ARRAYFORMULA, QUERY, FILTER, REGEX*, IMPORTRANGE; Apps Script a plus.
AI tooling & automation
  • Comfortable using AI copilots for analysis, documentation, and QC; able to design effective prompts and evaluation checks.
  • Experience wiring automations with Zapier/Make, Slack/Teams bots, Apps Script/VBA; bonus for API/LLM integration.
  • Commerce stack familiarity: Hands-on with Shopify (and ecosystem apps) and D365 data/objects; confident with ERP reconciliation.
  • Comfort using AfterShip (or similar) to extract and analyze delivery/transit metrics.
  • Strong business judgment: turn signals into clear operational recommendations.
  • Meticulous about data accuracy, reconciliation, and reproducibility; crisp documentation.
Nice to have
  • Experience with subscription platforms (e.g., Recharge, Skio) and CS tools (e.g., Gorgias/Zendesk).
  • BI/SQL/Python for deeper analysis (cohorts, LTV, forecast diagnostics).
  • Familiarity with inventory planning (lead time, EOQ, service levels).
  • LLM frameworks (e.g., LangChain) or basic API scripting for custom classifiers/parsers.
KPIs you’ll move
  • On-time delivery %, median transit time, exception rate
  • Inventory days-on-hand and stockout risk
  • Subscription churn/retention (overall & cohort), M2→M3 conversion
  • Data quality SLAs (reconciliation accuracy, refresh timeliness)
Tools
Excel, Google Sheets, Shopify & ecosystem apps, Microsoft Dynamics 365, AfterShip, AI copilots (ChatGPT/Claude/Gemini), Zapier/Make, Slack/Teams bots, (optional) SQL/Python/BI, Apps Script/VBA.
Join us to make a huge impact as we revolutionize healthcare. The thing we most value is working with talented, growth-minded people, who don’t hesitate to jump into creative problem solving. We don’t believe in up or out, we don’t believe in rest and vest. We want to give you the opportunity to grow with us. Neither your career nor Prenetics is a sprint — they’re both marathons.
In our hiring process, we look at building a team with three essential factors: adaptability, ability and passion. We’ve discovered the greatest achievements come from the right people working collaboratively towards a shared goal. As Prenetics and our vision continues to grow, you’ll have the opportunity to constantly change and evolve with us. Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Temporary
Job function
  • Job function Information Technology

Referrals increase your chances of interviewing at Prenetics by 2x

Get notified about new Data Analyst jobs in Hong Kong, Hong Kong SAR .

Central, Hong Kong SAR SGD800.00-SGD1,200.00 1 month ago

Wan Chai District, Hong Kong SAR 3 months ago

Wan Chai District, Hong Kong SAR 3 weeks ago

Business Intelligence Analyst, Power BI (1 year contract) Junior Quant Researcher / Data Scientist

Central & Western District, Hong Kong SAR 1 day ago

Analyst, CRM Data Analysis and Automation Data Science Lead | HKD 75K - HKD 90K per month | Inhouse Business Intelligence & Automation Intern

Central & Western District, Hong Kong SAR 8 hours ago

Data Transformation Business Analyst - Leading Insurance Group Quantitative Researcher - Global Crypto Trading Exchange - Asia

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Data Center Infrastructure Engineer, Data Center Operations

Hong Kong, Hong Kong Amazon

Posted 4 days ago

Job Viewed

Tap Again To Close

Job Description

Description
We are seeking talents who can take ownership, eager to learn and self-motivated, to join our team to support AWS data centers managing all of the servers, storages and network that ensure uninterrupted services for our customers. The successful candidate shall follow Amazon Data Center processes and maintain high operational standards in supporting server and network hardware and software. They need to adapt to fast and constantly changing environment and require shift work including weekend and holiday after completion of training.
Key job responsibilities
- Learn and develop career in data center industry
- Learn and develop on operation and support processes with innovation and automation
- Incident first responder and follow call leader's instruction for hands on support
- Break-fix and troubleshooting according to process guideline
- Maintain proper media operations according to process guideline
- Capacity landing and decommissioning according to process guideline
- Site management and maintain tidiness in operation areas
Basic Qualifications
- Show interest in learning computing hardware and operation systems
- Good written and verbal communication English
- Good attention to details
- Degree / High Diploma or equivalent qualifications
- Fresh Graduate or Up to 1 year experience in server / network hardware and operation systems maintenance / troubleshooting. Fresh graduates are welcome
- Basic understanding on incidents response and prioritization.
Preferred Qualifications
- Majoring in Information Technology / Computer Science / Engineering or related disciplines is a plus but not required
- Knowledge in Computer Server Hardware
- Knowledge in Linux Operation System
- Knowledge on any operations, processes and continuous processes improvement
- Literacy in security and customer data protection
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Data Center Operations Cluster Manager, HKG Infrastructure Operations

Amazon Web Services (AWS)

Posted 10 days ago

Job Viewed

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Job Description

Data Center Operations Cluster Manager, HKG Infrastructure Operations

Job ID: 2910472 | Amazon Data Services Hong Kong Limited

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

BASIC QUALIFICATIONS

· Minimum 5 years of people management experience with direct reports as their performance manager
· In-depth knowledge and experience of change, problem and incident management, literacy in security and customer data protection
· Demonstrated communication skill in presentation, open discussion, team coaching
· Financial understanding in annual budgeting, Capex and Opex concepts
· Project Management skill

PREFERRED QUALIFICATIONS

· Knowledge of data center MEP Infrastructure: Power, Cooling & Facilities Management
· In-depth knowledge on data center operations, processes and continuous processes improvement
· Experience in data center Safety and Security measures
· Knowledge of data center server capacity planning
· ITIL Foundation, PMP, Lean, Six Sigma and/or Risk related certifications
· Data Center related certification - CDCP/S/E, CDCMP/TP
· Linux certification and/or administration experience - RHCSA/RHCE, LPIC, Linux+

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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