132 Data Engineering Manager jobs in Hong Kong

1 day ago Be among the first 25 applicants

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.

The role will be responsible for building up best-in-class data infrastructure, Business Intelligence and Analytics solutions; joining the engineering team of highly skilled software, infrastructure, and data professionals to support the data and information needs of various business units and stakeholders. This involves formulating, communicating, and executing a holistic and forward-looking data strategy that leverages industry best practices around data and technology. The incumbent will also work with cross-functional teams within the organization of 9 markets.

This is a unique experience working with PB size of data, by using modern data technologies, such as AWS, GCP, Databricks, Snowflake, and dbt.

Key Responsibilities

• 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

What you'll need to succeed

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 and in a high paced work environment and tight timeline
• Good command of both written and spoken English and Chinese

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Information Technology, and Analyst
• Industries Entertainment Providers, Technology, Information and Media, and Broadcast Media Production and Distribution

Referrals increase your chances of interviewing at Viu by 2x

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

Kwun Tong District, Hong Kong SAR 1 month ago

Kowloon City District, Hong Kong SAR 1 week ago

Kowloon City District, Hong Kong SAR 1 day ago

Kwun Tong District, Hong Kong SAR 4 days ago

Kwun Tong District, Hong Kong SAR 3 hours ago

Kowloon City District, Hong Kong SAR 2 weeks ago

Kowloon City District, Hong Kong SAR 4 days ago

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Join to apply for the Data Engineering Manager (Hands-on leadership role) role at Bowtie Life Insurance Company

Join to apply for the Data Engineering Manager (Hands-on leadership role) role at Bowtie Life Insurance Company

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

Role Summary

Bowtieʼs mission is to make insurance good again and our vision is to build a category-defining health insurance company.

Role Summary

Bowtieʼs mission is to make insurance good again and our vision is to build a category-defining health insurance company.

As a young and fast-growing company, grooming and learning from the next generation is always our priority. We are looking for great talents who share our values to help us unleash the power of data for informed decision-making, stay competitive, and achieve their strategic objectives.

This is a newly created role and you will be setting the foundation for (and possibly leading) our BI/ data team moving forward!

About The Role

You will work in a dynamic environment that values cross-functional collaboration.

You will lead a lean team of data engineers, working closely with them and

business stakeholders to design, develop, and improve our data infrastructure.

This include, but is not limited to, suggesting data initiatives that would further

drive data-informed decision-making culture across the organization, and

overseeing the integration of new technologies and initiatives such as data and AI,

or machine learning operations.

Given the compact nature of the team, this role will require a hands-on approach,

balancing strategic leadership with practical implementation. Our current tech

stack reflects a modern, agile approach, utilizing contemporary data solutions that

prioritize flexibility and efficiency. We employ cloud-based data warehousing, ETL

processes with tools like dbt, and implementing data orchestration technologies

with Docker and Dagster. We are continually expanding and improving our toolkit

to further promote a self-service analytics culture and streamline reporting

processes.

Your Key Responsibilities Include:

Data Strategy and Leadership

• Develop and implement a comprehensive data strategy aligned with the business objectives
• Lead and mentor a team of data professionals, fostering a culture of continuous learning and innovation
• Collaborate with senior leadership to identify data-driven opportunities for business growth
  
  

• Design and oversee the implementation of a robust data architecture
• Establish data governance policies and ensure compliance with data privacy regulations
• Implement data quality measures and best practices
  
  

• Oversee the development of dashboards, reports, and analytics solutions
• Drive the adoption of self-service BI tools across the organization
• Collaborate with business units to translate their needs into actionable insights
  
  

• Promote data literacy across the organization through training and knowledge sharing
• Foster a culture of data-driven decision making at all levels of the company
  
  

• Strategic planning and team leadership
• Data architecture and governance
• Analytics and reporting oversight
• Stakeholder management and communication
  
  

• Increased adoption of data-driven decision making across the organization
• Improved data quality and accessibility
• Successful implementation of key data initiatives
• Team performance and growth
  
  

• (proficient) Experience in leading data teams and initiatives in a fast-paced environment
• (proficient) Strong understanding of data architecture, warehousing, and BI best practices; Experience in handling large-scale data infrastructure
• (proficient) Excellent communication and stakeholder management skills
• (fair) Hands-on experience with SQL, Python, and popular BI tools (e.g., Metabase, Looker, Tableau)
• (Proficient) Knowledge of cloud-based data solutions, AWS preferred
• (fair) Understanding of data governance and privacy regulations
• (plus) Experience in agile methodologies and data-oriented project management.
  
  

• Competitive package
• Flexible work arrangement
• Benefits include medical/ dental coverage and wellness programs
• Employee discounts
• Fun, co-operative, and flexible startup culture
• Weekly sharing sessions and regular social gatherings
• Excellent learning opportunities with Professional Development Sponsorship
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at Bowtie Life Insurance Company by 2x

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

Southern District, Hong Kong SAR 6 days ago

Tai Po District, Hong Kong SAR 1 week ago

Islands District, Hong Kong SAR 8 months ago

Shek Pik, Hong Kong SAR
HK$40,000.00
-
HK$70,000.00
3 weeks ago

Kwun Tong District, Hong Kong SAR 1 month ago

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

Join to apply for the Data Engineering Manager (Hands-on leadership role) role at Bowtie Life Insurance Company

Join to apply for the Data Engineering Manager (Hands-on leadership role) role at Bowtie Life Insurance Company

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

Role Summary
Bowtieʼs mission is to make insurance good again and our vision is to build a category-defining health insurance company.

Role Summary
Bowtieʼs mission is to make insurance good again and our vision is to build a category-defining health insurance company.
As a young and fast-growing company, grooming and learning from the next generation is always our priority. We are looking for great talents who share our values to help us unleash the power of data for informed decision-making, stay competitive, and achieve their strategic objectives.
This is a newly created role and you will be setting the foundation for (and possibly leading) our BI/ data team moving forward!
About The Role
You will work in a dynamic environment that values cross-functional collaboration.
You will lead a lean team of data engineers, working closely with them and
business stakeholders to design, develop, and improve our data infrastructure.
This include, but is not limited to, suggesting data initiatives that would further
drive data-informed decision-making culture across the organization, and
overseeing the integration of new technologies and initiatives such as data and AI,
or machine learning operations.
Given the compact nature of the team, this role will require a hands-on approach,
balancing strategic leadership with practical implementation. Our current tech
stack reflects a modern, agile approach, utilizing contemporary data solutions that
prioritize flexibility and efficiency. We employ cloud-based data warehousing, ETL
processes with tools like dbt, and implementing data orchestration technologies
with Docker and Dagster. We are continually expanding and improving our toolkit
to further promote a self-service analytics culture and streamline reporting
processes.
Your Key Responsibilities Include:
Data Strategy and Leadership

• Develop and implement a comprehensive data strategy aligned with the business objectives
• Lead and mentor a team of data professionals, fostering a culture of continuous learning and innovation
• Collaborate with senior leadership to identify data-driven opportunities for business growth
  

• Design and oversee the implementation of a robust data architecture
• Establish data governance policies and ensure compliance with data privacy regulations
• Implement data quality measures and best practices
  

• Oversee the development of dashboards, reports, and analytics solutions
• Drive the adoption of self-service BI tools across the organization
• Collaborate with business units to translate their needs into actionable insights
  

• Promote data literacy across the organization through training and knowledge sharing
• Foster a culture of data-driven decision making at all levels of the company
  

• Strategic planning and team leadership
• Data architecture and governance
• Analytics and reporting oversight
• Stakeholder management and communication
  

• Increased adoption of data-driven decision making across the organization
• Improved data quality and accessibility
• Successful implementation of key data initiatives
• Team performance and growth
  

• (proficient) Experience in leading data teams and initiatives in a fast-paced environment
• (proficient) Strong understanding of data architecture, warehousing, and BI best practices; Experience in handling large-scale data infrastructure
• (proficient) Excellent communication and stakeholder management skills
• (fair) Hands-on experience with SQL, Python, and popular BI tools (e.g., Metabase, Looker, Tableau)
• (Proficient) Knowledge of cloud-based data solutions, AWS preferred
• (fair) Understanding of data governance and privacy regulations
• (plus) Experience in agile methodologies and data-oriented project management.
  

• Competitive package
• Flexible work arrangement
• Benefits include medical/ dental coverage and wellness programs
• Employee discounts
• Fun, co-operative, and flexible startup culture
• Weekly sharing sessions and regular social gatherings
• Excellent learning opportunities with Professional Development Sponsorship
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at Bowtie Life Insurance Company by 2x

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

Southern District, Hong Kong SAR 6 days ago

Tai Po District, Hong Kong SAR 1 week ago

Islands District, Hong Kong SAR 8 months ago

Shek Pik, Hong Kong SAR
HK$40,000.00
-
HK$70,000.00
3 weeks ago

Kwun Tong District, Hong Kong SAR 1 month ago

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1 day ago Be among the first 25 applicants

Direct message the job poster from Alibaba Cloud

Responsibilities:

-Creates and presents Big Data & AI-related solution designs to customers. Develops and expands existing impactful relationships with customer architects, senior technical decision-makers, and business stakeholders.

-Leverages and champions Alibaba Cloud reference architecture approach to the customers/partners. Proposes and develops new solutions to scale across multiple customers/partners while demonstrating the business case and presenting alternative scenarios.

-Responsible for understanding the unique requirements of customers and partners, and providing appropriate data solutions and architecture designs based on Alibaba Cloud services.

-Help Alibaba Cloud customers and partners migrate their existing Data Analytics system onto Alibaba Cloud platforms. This includes providing migration technique support for both data platforms and applications.

-Acts as the voice of the customers or partners by driving new feedback, gaps, blockers, insights, resources, etc. to internal teams to shape products and services by providing insights across the regions.

-Responsible for demo development and testing Alibaba Cloud services.

Qualification:

-A background in IT, computer science, and/or cloud computing with a good understanding of Big Data & AI technology.

-A minimum of 5 years’ experience working and consulting on Data Architecture design and a strong understanding of customer needs and requirements. Experience working or studying abroad is preferred.

-Expert knowledge and understanding of Data Architecture design and familiar with Alibaba Cloud Big Data products and/or open source Big Data technology such as Hadoop, Hive, Spark, Flink, Kafka etc…

-Background and experience in AI/ML technologies.

-Experience in customer-facing pre-sales, technical architecture, or consulting roles.

-Excellent presentation and whiteboarding skills, creating documentation that can express architectures using text and diagrams.

-Able to work under pressure, a quick learner with a passion for cloud technology. Able to think strategically about businesses, products, and technical challenges.

-Good communication skills, a good team player, and a professional attitude to work.

-Fluent English and Mandarin are required, fluent in Cantonese is a strong plus.

-Candidates with Alibaba Cloud certification (ACP or ACE) will be considered first.

-Comfortable with traveling to multiple customer locations

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Alibaba Cloud by 2x

Get notified about new Solutions Architect jobs in Hong Kong, Hong Kong SAR .

Central & Western District, Hong Kong SAR 10 hours ago

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1 day ago Be among the first 25 applicants

Direct message the job poster from Alibaba Cloud

Responsibilities:

-Creates and presents Big Data & AI-related solution designs to customers. Develops and expands existing impactful relationships with customer architects, senior technical decision-makers, and business stakeholders.

-Leverages and champions Alibaba Cloud reference architecture approach to the customers/partners. Proposes and develops new solutions to scale across multiple customers/partners while demonstrating the business case and presenting alternative scenarios.

-Responsible for understanding the unique requirements of customers and partners, and providing appropriate data solutions and architecture designs based on Alibaba Cloud services.

-Help Alibaba Cloud customers and partners migrate their existing Data Analytics system onto Alibaba Cloud platforms. This includes providing migration technique support for both data platforms and applications.

-Acts as the voice of the customers or partners by driving new feedback, gaps, blockers, insights, resources, etc. to internal teams to shape products and services by providing insights across the regions.

-Responsible for demo development and testing Alibaba Cloud services.

Qualification:

-A background in IT, computer science, and/or cloud computing with a good understanding of Big Data & AI technology.

-A minimum of 5 years’ experience working and consulting on Data Architecture design and a strong understanding of customer needs and requirements. Experience working or studying abroad is preferred.

-Expert knowledge and understanding of Data Architecture design and familiar with Alibaba Cloud Big Data products and/or open source Big Data technology such as Hadoop, Hive, Spark, Flink, Kafka etc…

-Background and experience in AI/ML technologies.

-Experience in customer-facing pre-sales, technical architecture, or consulting roles.

-Excellent presentation and whiteboarding skills, creating documentation that can express architectures using text and diagrams.

-Able to work under pressure, a quick learner with a passion for cloud technology. Able to think strategically about businesses, products, and technical challenges.

-Good communication skills, a good team player, and a professional attitude to work.

-Fluent English and Mandarin are required, fluent in Cantonese is a strong plus.

-Candidates with Alibaba Cloud certification (ACP or ACE) will be considered first.

-Comfortable with traveling to multiple customer locations

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Alibaba Cloud by 2x

Get notified about new Solutions Architect jobs in Hong Kong, Hong Kong SAR .

Central & Western District, Hong Kong SAR 10 hours ago

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Join to apply for the Engineering Manager - Data Platform role at Canonical

Continue with Google Continue with Google

1 month ago Be among the first 25 applicants

Join to apply for the Engineering Manager - Data Platform role at Canonical

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location: This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values.
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration
  
  

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development
  
  

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Continue with Google Continue with Google

Continue with Google Continue with Google

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

Join to apply for the Engineering Manager - Data Platform role at Canonical

Continue with Google Continue with Google

1 month ago Be among the first 25 applicants

Join to apply for the Engineering Manager - Data Platform role at Canonical

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
Location: This role can be filled in European, Middle East, African or any American region / time zone.
What your day will look like

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values.
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration
  

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development
  

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Continue with Google Continue with Google

Continue with Google Continue with Google

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

Join to apply for the Technology – Data Engineering Specialist/ Asso. Manager/ Manager role at Accenture

1 week ago Be among the first 25 applicants

Join to apply for the Technology – Data Engineering Specialist/ Asso. Manager/ Manager role at Accenture

Let there be CHANGE

Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Let there be CHANGE

Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity and your best true self to your work.

Here, you’ll match your ingenuity with the latest technology to make incredible things. Let’s create something together.

Data & AI Team

You will involve delivering end to end data transformation solutions for enterprise-level accounts, from the design phase through to implementation. The ideal candidate should possess strong data engineering skills in building data products and platforms, as well as experience managing the clients and collaborating with regional teams.

Job duties of this Role:

1. Utilize emerging technologies and big data design principles in developing data pipelines, interfaces, and architecture to support big data and analytics initiative
2. Drive the development and optimization of advanced data warehousing, data lake architectures, and integrated storage solutions to enhance data accessibility and performance.
3. Collaborate strategically with cross-functional teams, including data engineers, analysts, and software developers, to ensure seamless and efficient data flows across the organization.
4. Leverage expertise in cloud-based data platforms (e.g., AWS, Azure, GCP) and modern data processing frameworks to architect innovative solutions that meet business needs.
5. Oversee the monitoring and troubleshooting of data infrastructure, ensuring high availability, performance, and resilience of data systems.
6. Spearhead the implementation of comprehensive data governance, security, and compliance frameworks to uphold industry standards and best practices.

Come JOIN US if you have:

1. Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
2. 5-10 years experience in delivering system integration or implementation projects
3. Deep skills in design and development of E2E data management and analytics architecture (i.e. ingestion, loading, transformation, data model design)
4. Experience with SQL and/or NOSQL databases
5. Familiarity with Python, Java, or Scala for data processing.
6. Understanding of cloud platforms like AWS, Azure, or GCP
7. Exposure to big data technologies like Spark, Hadoop, or Kafka
8. Strong problem-solving skills and eagerness to learn new technologies.
9. Excellent communication and collaboration skills. Good communication, interpersonal, and relationship building skills
10. High proficiency in both verbal and written English and Cantonese (Mandarin is an added advantage)

Total - 2 Headcount

• Mid-Senior level

• Full-time

• Other

• Business Consulting and Services

Referrals increase your chances of interviewing at Accenture by 2x

Get notified about new Technology – Data Engineering Specialist/ Asso. Manager/ Manager jobs in Hong Kong, Hong Kong SAR .

Join to apply for the Technology – Data Engineering Specialist/ Asso. Manager/ Manager role at Accenture

1 week ago Be among the first 25 applicants

Join to apply for the Technology – Data Engineering Specialist/ Asso. Manager/ Manager role at Accenture

Let there be CHANGE
Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Let there be CHANGE
Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.
Your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity and your best true self to your work.
Here, you’ll match your ingenuity with the latest technology to make incredible things. Let’s create something together.
Data & AI Team
You will involve delivering end to end data transformation solutions for enterprise-level accounts, from the design phase through to implementation. The ideal candidate should possess strong data engineering skills in building data products and platforms, as well as experience managing the clients and collaborating with regional teams.
Job duties of this Role:

• Utilize emerging technologies and big data design principles in developing data pipelines, interfaces, and architecture to support big data and analytics initiative
• Drive the development and optimization of advanced data warehousing, data lake architectures, and integrated storage solutions to enhance data accessibility and performance.
• Collaborate strategically with cross-functional teams, including data engineers, analysts, and software developers, to ensure seamless and efficient data flows across the organization.
• Leverage expertise in cloud-based data platforms (e.g., AWS, Azure, GCP) and modern data processing frameworks to architect innovative solutions that meet business needs.
• Oversee the monitoring and troubleshooting of data infrastructure, ensuring high availability, performance, and resilience of data systems.
• Spearhead the implementation of comprehensive data governance, security, and compliance frameworks to uphold industry standards and best practices.

Come JOIN US if you have:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5-10 years experience in delivering system integration or implementation projects
• Deep skills in design and development of E2E data management and analytics architecture (i.e. ingestion, loading, transformation, data model design)
• Experience with SQL and/or NOSQL databases
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of cloud platforms like AWS, Azure, or GCP
• Exposure to big data technologies like Spark, Hadoop, or Kafka
• Strong problem-solving skills and eagerness to learn new technologies.
• Excellent communication and collaboration skills. Good communication, interpersonal, and relationship building skills
• High proficiency in both verbal and written English and Cantonese (Mandarin is an added advantage)

Total - 2 Headcount

• Mid-Senior level

• Full-time

• Other

• Business Consulting and Services

Referrals increase your chances of interviewing at Accenture by 2x

Get notified about new Technology – Data Engineering Specialist/ Asso. Manager/ Manager jobs in Hong Kong, Hong Kong SAR .