215 Data Engineering jobs in Hong Kong

Overview

We are now looking for a professional to join our data management team for OTT service, Viu located in Hong Kong. With over 66 million monthly active users (MAU) and 12 million paid subscribers, Viu is a leading pan-regional OTT video service with presence across Asia, the Middle East, and South Africa.

• Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
• Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
• Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
• Work closely with the Data Analytics and QA teams, to data quality to provide the high availability
• Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries

To be successful in your new position it is important that you are someone who is forward-thinking and who takes initiative. Also, it is essential to have the following skills:

• 5+ years related experience in data engineering and data platform
• Degree holder, preferably from statistics, computer science or related disciplines
• Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
• Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
• Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
• Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
• Flexible and able to work in a dynamic environment and manage your own time in a high paced work environment and tight timeline
• Good command of both written and spoken English and Chinese

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Analyst

• Entertainment Providers, Technology, Information and Media, and Broadcast Media Production and Distribution

Join to apply for the Data & Engineering Manager role at Preface

About Preface
Preface is a content and tech-enabling company with the mission to enable learners with up-trend tech knowledge and skills anytime, anywhere, and in any format. We have been living and breathing by the motto “there isn’t a thing that cannot be learnt.” With the vision to increase the overall tech literacy of the world, Preface provides market-leading education solutions to fulfill the ever-changing learning & customised-development needs of learners and corporates worldwide.

Role Overview

We are seeking a Data & Engineering Manager to lead our digital development and project management efforts. In this role, you will lead the effort of building an immersive tech learning experience, using data to inform business and product decisions, and supporting technical needs for operation teams. You will collaborate closely with multiple internal teams and external vendors/affiliates.

Key Responsibilities

• Lead and mentor a team of technical, design and operation professionals, promoting a culture of collaboration and continuous improvement.
• Collaborate internally with cross-functional teams, and externally with vendors and affiliates to deliver products that meet timeline and expectations.
• Work with databases to retrieve, analyze and visualize data, informing decisions on learner engagement, content enhancement and business optimisation.
• Support operational tech needs, including system optimisation and troubleshooting to maintain seamless platform performance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering or related fields.
• 5+ years of experience in software engineering, with at least 2 years in a managerial role.
• Strong proficiency in programming languages (e.g. Python, JavaScript), database technologies (e.g. SQL, NoSQL) and BI tools (e.g. Metabase).
• Familiar with AI/ML concepts and digital transformation initiatives. Passion for education and technology, with a commitment to fostering data-driven decision-making and innovation.
• Excellent project management and communication skills, with a strong business sense and collaboration mindset. Humble team player comfortable with fast-paced startup environments and ambiguity.

Benefits

• We care about your wellbeing
• Competitive health insurance
• Complimentary food & beverage for you and your loved ones at Preface Coffee & Wine
• We care about your growth & development
• Complimentary tech knowledge upskilling
• Global exposure
• Great career development opportunities in a growing company
• Do meaningful work - be part of the future of education technology and a leading force in the industry
• We care about your day to day
• Premium working locations
• Casual work attire

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Education Management

Referrals increase your chances of interviewing at Preface by 2x

Get notified about new Engineering Manager jobs in Hong Kong, Hong Kong SAR .

We are now looking for a professional to join our data management team for OTT service, Viu located in Hong Kong. With over 66 million monthly active users (MAU) and 12 million paid subscribers, Viu is a leading pan-regional OTT video service with presence across Asia, the Middle East, and South Africa.

• Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
• Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
• Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
• Work closely with the Data Analytics and QA teams, to data quality to provide the high availability
• Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries

To be successful in your new position it is important that you are someone who is forward-thinking and who takes initiative. Also, it is essential to have the following skills:

• 5+ years related experience in data engineering and data platform
• Degree holder, preferably from statistics, computer science or related disciplines
• Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
• Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
• Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
• Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
• Flexible and able to work in a dynamic environment and manage your own time in a high paced work environment and tight timeline
• Good command of both written and spoken English and Chinese

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Analyst

• Entertainment Providers, Technology, Information and Media, and Broadcast Media Production and Distribution

Join to apply for the Data & Engineering Manager role at Preface

About Preface
Preface is a content and tech-enabling company with the mission to enable learners with up-trend tech knowledge and skills anytime, anywhere, and in any format. We have been living and breathing by the motto “there isn’t a thing that cannot be learnt.” With the vision to increase the overall tech literacy of the world, Preface provides market-leading education solutions to fulfill the ever-changing learning & customised-development needs of learners and corporates worldwide.

Role Overview

We are seeking a Data & Engineering Manager to lead our digital development and project management efforts. In this role, you will lead the effort of building an immersive tech learning experience, using data to inform business and product decisions, and supporting technical needs for operation teams. You will collaborate closely with multiple internal teams and external vendors/affiliates.

Key Responsibilities

• Lead and mentor a team of technical, design and operation professionals, promoting a culture of collaboration and continuous improvement.
• Collaborate internally with cross-functional teams, and externally with vendors and affiliates to deliver products that meet timeline and expectations.
• Work with databases to retrieve, analyze and visualize data, informing decisions on learner engagement, content enhancement and business optimisation.
• Support operational tech needs, including system optimisation and troubleshooting to maintain seamless platform performance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering or related fields.
• 5+ years of experience in software engineering, with at least 2 years in a managerial role.
• Strong proficiency in programming languages (e.g. Python, JavaScript), database technologies (e.g. SQL, NoSQL) and BI tools (e.g. Metabase).
• Familiar with AI/ML concepts and digital transformation initiatives. Passion for education and technology, with a commitment to fostering data-driven decision-making and innovation.
• Excellent project management and communication skills, with a strong business sense and collaboration mindset. Humble team player comfortable with fast-paced startup environments and ambiguity.

Benefits

• We care about your wellbeing
• Competitive health insurance
• Complimentary food & beverage for you and your loved ones at Preface Coffee & Wine
• We care about your growth & development
• Complimentary tech knowledge upskilling
• Global exposure
• Great career development opportunities in a growing company
• Do meaningful work - be part of the future of education technology and a leading force in the industry
• We care about your day to day
• Premium working locations
• Casual work attire

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Education Management

Referrals increase your chances of interviewing at Preface by 2x

Get notified about new Engineering Manager jobs in Hong Kong, Hong Kong SAR .

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry.

Job Title: Senior Business Analyst (Data Engineering)

Job Type: Full-Time

Job Description :-

• Design and model efficient database models to support business operations and scalability while collaborating with developers
• Create and maintain database mappings between source and target tables for ease of access and readability .
• Collaborate with stakeholders, translating business requirements into optimized database solutions.
• Work closely with development and analytics teams to support data-driven decision-making.

Experience:-

• Minimum 5 years of Business Analyst

Technical Skills:-

• Strong understanding of database modelling and design principles.
• Deep knowledge of database concepts, including Normalization and Slowly Changing Dimensions (SCD).
• Proven experience in database mapping and managing structured data relationships.
• Ability to communicate effectively with stakeholders, conveying technical details clearly.
• Good to have: Experience with AWS database services, including RDS, Redshift .
• A proactive approach to problem-solving in a dynamic, fast-paced environment.

Domain Knowledge:-

• Good understanding of life and health insurance , policy servicing, and claims lifecycle (e.g., hospitalization, reimbursement, rejection handling) is preferred
• Familiarity with insurance data such as Life-Asia, Group-Asia is preferred.

Soft Skills:-

• Excellent communication and stakeholder engagement skills in English (Cantonese is a plus)
• Analytical thinking and problem-solving abilities
• Ability to work under pressure and meet tight deadlines

Why Capgemini is unique

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people

Get the future you want

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is Capgemini.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology, Engineering, and Consulting
• Industries IT Services and IT Consulting, Business Consulting and Services, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Capgemini by 2x

Wan Chai District, Hong Kong SAR 1 week ago

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Requirements

• Bachelor's degree in Computer Science, Information Systems, Information Management, Quantitative Analysis, Statistics, IT, or a related discipline
• 4-6 years of experience in data analytics and business insights for loyalty programs in fast-paced industries
• Proficiency in Python, Tableau & SQL (e.g., MySQL, PostgreSQL, BigQuery, etc.)
• Proficiency in AWS (preferably), including services such as S3, Redshift, Athena, Lambda, or Glue
• Familiar with Google analytics and streaming data analysis
• Demonstrated ability to leverage infrastructure-as-code tools, including CloudFormation and Terraform
• Proven experience in implementing CI/CD pipelines using tools such as GitLab CI/CD
• Experience in REST API design and development
• Extensive experience with ETL pipeline development, and process automation is a plus
• Strong business acumen, and effective communicator
• Experience in managing complex customer data from multiple sources is an advantage

Responsibilities

• Design and execute effective ETL jobs, automate data pipeline
• Develop and maintain database, optimize data infrastructure overtime
• Assist in managing the overall data analytics framework
• Enhance data tagging, enable data table and mapping to facilitate BI tools and dashboards to enable efficient cross-platform data analysis
• Optimize and manage cloud-based data infrastructure, including data warehouse design and performance tuning
• Maintain data governance, ensure data integrity, and conduct periodic quality assurance tracking of the company's customer loyalty program databases

Key Job Details

Job Location

Quarry Bay

Employment Type

Permanent

Job Category

Data Analytics and Insights

Application Deadline

30 Sep 2025

ABOUT THE TEAM

A career at Swire Properties is more than just work, it's a calling.

We're searching for exceptional individuals who want to live and breathe "Creative Transformation" – our distinct mindset and long-term approach that inspires everything we do and how we do it. It inspires us to constantly explore new perspectives and seek out original thinking that goes beyond the conventional. Our mission, ultimately, is to constantly add value to communities and create truly amazing and sustainable places where people can thrive. Additionally, we are deeply committed to prioritising health and safety in all our operations, ensuring a healthy, safe and supporting environment for our People, partners and the communities we serve.

Join us today and work on career-defining projects that are changing the industry in Hong Kong, the Chinese Mainland, Miami and Southeast Asia.

We are now looking for a talented Assistant Data Engineering Lead to be part of our team. The candidate will be leading a small data management and engineering team to manage and enhance a data platform on cloud. The incumbent will work closely with internal IT, business stakeholders, data analyst, business analyst and vendors on planning, management, execution & delivery of data management and the enablement for data-driven business model for Swire Properties. The incumbent will also work with internal stakeholders in ensuring the data is managed in accordance to Data protection policies.

RESPONSIBILITIES

• Maintain, design, and enhance a Data Platform on the Cloud, to enable both CRM and non-CRM applications, such as data analytics, customer de-duplication and anonymization, machine learning model and Generative AI adoption
• Lead a team of internal and external developers in maintaining and enhancing existing ETL pipelines and storage on an Azure Data Platform
• Supporting the Data Management and Analytics Lead in managing and prioritizing enhancements on cloud platform
• Collaborate with Digital & IT Team and external data management vendors to establish end-to-end data pipeline (real-time and/or batch) from data ingestion, transformation, to data modelling through requirement gathering, data mapping, testing, and troubleshooting, and other relevant processes
• Develop and enhance the data deduplication and anonymization pipelines upon data source updates, and changes
• Integrate and update a Data Model for BI Dashboard and general analytics development
• Collect and review requirements to update and maintain a robust data model for a wide range of analytics purposes
• Ensure the data and information are delivered on-time with high quality, good performance, reconciled and integrity assured
• Support the Data Management and Analytics Lead in providing data requirements on upstream systems and touchpoints upon the introduction of incremental

REQUIREMENTS

• University graduate in Information Technology, Computer Science, Information System or related discipline
• Minimum 5 years' working experience in data infrastructure and architecture with demonstrated experience and capability in data warehousing, data modelling and design, data integration, data migration, ETL/ELT, BI and Big data solutions skill sets and strong SQL, Pyspark & Python
• Experience in data processing with small data & big data storage format like CSV, Parquet, Hive Metastore is a must
• Experience with implementing and maintaining cloud services such as Azure (Data Lake Storage Gen2, SQL DB, Data Factory, Databricks, Unity Catalog, DevOps) or related is highly desirable
• Experience with Test Driven Development (TDD) and Continuous Integration/ Development (CI/CD) in data platform development and design, implementation & maintenance regarding data platform security is highly desirable
• Experience with implementing semantic model for BI visualization tool, Machine Learning engineering or Agentic AI implementation is highly desirable
• Experience with data quality management, data lineage & data catalog is highly desirable
• Experience with Agile or Scrum methodologies and working with project management tools like Jira is a plus
• Experience in leading a small team of data engineers and vendor management
• Good presentation & communication skills written and spoken English, Cantonese and Mandarin

BEHAVIOURAL COMPETENCIES

• Decision Quality
• Cultivates Innovation
• Business Acumen
• Drives for Results
• Ensures Accountability
• Optimizes Work Processes
• Collaborates
• Communicates Effectively
• Situational Adaptability

WHY CHOOSE US

• We've won the Randstad Hong Kong Most Attractive Employer Award in 2022, and have been in the Top 10 since 2017
• HRoot Best Employer Award 2023 (Chinese Mainland)

Don't Miss This Opportunity

As an equal opportunity employer, Swire Properties strives to foster a diverse workforce and inclusive workplace, where People can thrive.

If you require special assistance and accommodations during any part of the recruitment process, including the online application and/or the selection process, please reach out to us via email at any time.

If we haven't contacted you six weeks after your submission, then please consider your application unsuccessful this time.

All personal data collected during the application process will be kept for 12 months after its completion, and then destroyed. All information will be used for recruitment and appointment purposes only. The Company will handle all personal data confidentially in accordance with the Hong Kong Special Administrative Region's Personal Data (Privacy) Ordinance.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Information Management, Quantitative Analysis, Statistics, IT, or a related discipline
• 4-6 years of experience in data analytics and business insights for loyalty programs in fast-paced industries
• Proficiency in Python, Tableau & SQL (e.g., MySQL, PostgreSQL, BigQuery, etc.)
• Proficiency in AWS (preferably), including services such as S3, Redshift, Athena, Lambda, or Glue
• Extensive experience with ETL pipeline development, and process automation is a plus
• Strong business acumen, and effective communicator
• Experience in managing complex customer data from multiple sources is an advantage

Responsibilities:

• Design and execute effective ETL jobs, automate data pipeline
• Develop and maintain database, optimize data infrastructure overtime
• Assist in managing the overall data analytics framework
• Enhance data tagging, enable data table and mapping to facilitate BI tools and dashboards to enable efficient cross-platform data analysis
• Optimize and manage cloud-based data infrastructure, including data warehouse design and performance tuning
• Maintain data governance, ensure data integrity, and conduct periodic quality assurance tracking of the company's customer loyalty program databases

Good remuneration and attractive fringe benefits will be offered to the successful applicant. Interested parties please apply with full resume, present and expected salary, available date by clicking "Apply Now".

For further information, please visit our company website: 

We are an equal opportunity employer and welcome applications from all qualified candidates. All personal data collected will be used for recruitment purpose only.  Applicants not hearing from us within 3 months may consider their applications unsuccessful.  All personal data collected will be destroyed within 24 months.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry.

Job Title: Senior Business Analyst (Data Engineering)

Job Type: Full-Time

Job Description :-

• Design and model efficient database models to support business operations and scalability while collaborating with developers
• Create and maintain database mappings between source and target tables for ease of access and readability .
• Collaborate with stakeholders, translating business requirements into optimized database solutions.
• Work closely with development and analytics teams to support data-driven decision-making.

Experience:-

• Minimum 5 years of Business Analyst

Technical Skills:-

• Strong understanding of database modelling and design principles.
• Deep knowledge of database concepts, including Normalization and Slowly Changing Dimensions (SCD).
• Proven experience in database mapping and managing structured data relationships.
• Ability to communicate effectively with stakeholders, conveying technical details clearly.
• Good to have: Experience with AWS database services, including RDS, Redshift .
• A proactive approach to problem-solving in a dynamic, fast-paced environment.

Domain Knowledge:-

• Good understanding of life and health insurance , policy servicing, and claims lifecycle (e.g., hospitalization, reimbursement, rejection handling) is preferred
• Familiarity with insurance data such as Life-Asia, Group-Asia is preferred.

Soft Skills:-

• Excellent communication and stakeholder engagement skills in English (Cantonese is a plus)
• Analytical thinking and problem-solving abilities
• Ability to work under pressure and meet tight deadlines

Why Capgemini is unique

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people

Get the future you want

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is Capgemini.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology, Engineering, and Consulting
• Industries IT Services and IT Consulting, Business Consulting and Services, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Capgemini by 2x

Wan Chai District, Hong Kong SAR 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.