36 Data Engineering Manager jobs in Hong Kong

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 .

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

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.

Responsibility:

• Design, implement and manage the enterprise data architecture and roadmap, including architecture vision, principles, standards and policies, target state blueprints, and roadmap for the relevant data domain.
• Optimize data infrastructure and resources for cost efficiency and performance.
• Implement DataOps practices for CI/CD in data workflows.
• Identify cost-saving opportunities in cloud data services.
• Work with vendors and IT team on infrastructure alignment and security compliance, and to resolve technical issues.
• Ensure data solutions are compliant and support existing and future data governance policies.

Requirement:

• Degree holder in Computer Science, Information Technology, or relevant disciplines.
• 5 years f IT experience with at least 3 years of experience in data engineering.
• Solid understanding of enterprise data architecture, with hands-on experience in building or maintaining data platforms and cloud resources for data project implementation.
• Strong knowledge of SQL, data modelling, and ETL/ELT design.
• Deep Azure cloud expertise (e.g., Databricks, Data Factory).
• Lead analysis of the current data platforms (e.g., logs) to detect critical deficiencies and recommend solutions for improvement.
• Knowledge of data governance, security, and observability.
• Actively engage in and contribute to relevant solution design review activities and data architecture review forum and conduct project technical reviews and health checks.
• Promote ideas for using effective technologies based on analysis of technology industry and market trends.
• Strong problem-solving and analytical skills.
• Excellent communication, leadership, and interpersonal skills.
• Experience in designing and deploying data applications on cloud solutions, such as Azure.
• Data management and governance related certificate is a plus

Interested parties please send full resume with employment history and expected salary to HRA Division, Yusen Logistics Global Management (Hong Kong) Limited at Level 33, Tower 1, Kowloon Commerce Centre, 51 Kwai Cheong Road, Kwai Chung or by email to @

Yusen Logistics Global Management (Hong Kong) Limited is an equal opportunity employer. All information collected will be used for recruitment purpose only.

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About Yusen Logistics

Yusen Logistics is working to become the world's preferred supply chain logistics company. Our complete offer is designed to forge better connections between businesses, customers and communities – through innovative supply chain management, freight forwarding, warehousing and distribution services. As a company we're dedicated to a culture of continuous improvement, ensuring everyone who works with us is committed, connected and creative in making us the world's preferred choice.

Responsibility:

• Design, implement and manage the enterprise data architecture and roadmap, including architecture vision, principles, standards and policies, target state blueprints, and roadmap for the relevant data domain.
• Implement DataOps practices for CI/CD in data workflows.
• Work with vendors and IT team on infrastructure alignment and security compliance, and to resolve technical issues.

Requirement:

• Degree holder in Computer Science, Information Technology, or relevant disciplines.
• 5 years f IT experience with at least 3 years of experience in data engineering.
• Solid understanding of enterprise data architecture, with hands-on experience in building or maintaining data platforms and cloud resources for data project implementation.
• Strong knowledge of SQL, data modelling, and ETL/ELT design.
• Deep Azure cloud expertise (e.g., Databricks, Data Factory).
• Actively engage in and contribute to relevant solution design review activities and data architecture review forum and conduct project technical reviews and health checks.
• Promote ideas for using effective technologies based on analysis of technology industry and market trends.
• Strong problem-solving and analytical skills.
• Excellent communication, leadership, and interpersonal skills.
• Experience in designing and deploying data applications on cloud solutions, such as Azure.
• Data management and governance related certificate is a plus

Interested parties please send full resume with employment history and expected salary to HRA Division, Yusen Logistics Global Management (Hong Kong) Limited at Level 33, Tower 1, Kowloon Commerce Centre, 51 Kwai Cheong Road, Kwai Chung or by email to @

Yusen Logistics Global Management (Hong Kong) Limited is an equal opportunity employer. All information collected will be used for recruitment purpose only.

<<

About Yusen Logistics

Yusen Logistics is working to become the world's preferred supply chain logistics company. Our complete offer is designed to forge better connections between businesses, customers and communities – through innovative supply chain management, freight forwarding, warehousing and distribution services. As a company we're dedicated to a culture of continuous improvement, ensuring everyone who works with us is committed, connected and creative in making us the world's preferred choice.

Engineering Manager - Data Orchestration

Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.

The Engineering Manager role requires an engineer at heart who is able to lead and guide engineering teams to deliver Feedzai products. The role requires a deep technical knowledge allowing the teams to have strong technical support at the management level.

As Engineering Manager you will lead the team responsible for developing Feedzai’s Data Engineering product. Technically, this product deals with challenges around large volume data, diverse data sources (internal and external), data orchestration and transformation, and integration of an ecosystem of external and internal data providers into a cohesive whole.

Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:

• Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations.
• Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment.

Your Day To Day:

• Manage one or two teams of engineers from daily execution to performance and career management
• Lead by example, care for your team, and establish credibility with the quality of your and your team's technical execution.
• Excels at technical management, working with senior folks in the team to identify and mitigate technical risk, data-driven decision making and sound architectural decisions
• Be responsible for the planning, execution, and success of technical projects
• Work with key stakeholders across all groups within the Engineering and Product Teams
• Develop and empower top-class engineering and technology practices in the teams
• Closely work with the recruiting team to find and interview engineers

You Have & You Know-how:

• 3+ years of Team Leading and/or Management experience in managing technical projects and engineering teams
• 6+ years of software development
• 4+ in a SaaS environment and supporting mission-critical services
• Capable of leading by example not being afraid to take risks and going beyond what’s expected
• Cloud expertise—AWS services, container orchestration (K8s/EKS), observability stacks, IaC and automated multi‑environment deployments (back‑end & front‑end).

Preferred/Valued Qualifications And Skills:

• Experience in creating and operating Data Engineering projects or products, and associated Data Engineering technologies (eg Snowflake, Redshift, Airflow, and similar)
• Experience working on projects that move quickly and have ever-changing processes and structure
• Demonstrated skills in leadership, adaptability, problem-solving, and critical thinking
• Be able to handle stakeholder’s expectations and push-back when necessary to ensure the success of the project
• Be solution-oriented, and when issues arise, be able to roll up your sleeves and tackle them with a ‘get it done’ attitude
• Team player with a clear focus on taking the performance of teams to the next level
• Experience working with Generative AI (GenAI) tools is a plus.

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.

The Engineering Manager role requires an engineer at heart who is able to lead and guide engineering teams to deliver Feedzai products. The role requires a deep technical knowledge allowing the teams to have strong technical support at the management level.

As Engineering Manager you will lead the team responsible for developing Feedzai’s Data Engineering product. Technically, this product deals with challenges around large volume data, diverse data sources (internal and external), data orchestration and transformation, and integration of an ecosystem of external and internal data providers into a cohesive whole.

Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:

• Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations.
• Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment.

Your Day To Day:

• Manage one or two teams of engineers from daily execution to performance and career management
• Lead by example, care for your team, and establish credibility with the quality of your and your team's technical execution.
• Excels at technical management, working with senior folks in the team to identify and mitigate technical risk, data-driven decision making and sound architectural decisions
• Be responsible for the planning, execution, and success of technical projects
• Work with key stakeholders across all groups within the Engineering and Product Teams
• Develop and empower top-class engineering and technology practices in the teams
• Closely work with the recruiting team to find and interview engineers

You Have & You Know-how:

• 3+ years of Team Leading and/or Management experience in managing technical projects and engineering teams
• 6+ years of software development
• 4+ in a SaaS environment and supporting mission-critical services
• Capable of leading by example not being afraid to take risks and going beyond what’s expected
• Cloud expertise—AWS services, container orchestration (K8s/EKS), observability stacks, IaC and automated multi‑environment deployments (back‑end & front‑end).

Preferred/Valued Qualifications And Skills:

• Experience in creating and operating Data Engineering projects or products, and associated Data Engineering technologies (eg Snowflake, Redshift, Airflow, and similar)
• Experience working on projects that move quickly and have ever-changing processes and structure
• Demonstrated skills in leadership, adaptability, problem-solving, and critical thinking
• Be able to handle stakeholder’s expectations and push-back when necessary to ensure the success of the project
• Be solution-oriented, and when issues arise, be able to roll up your sleeves and tackle them with a ‘get it done’ attitude
• Team player with a clear focus on taking the performance of teams to the next level
• Experience working with Generative AI (GenAI) tools is a plus.

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.