89 Data Engineer jobs in Hong Kong

Join to apply for the Data Engineer role at Sun Hung Kai Properties Limited .

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

• Bachelor's degree in Computer Science, Information Systems or related disciplines
• Minimum 3 years’ experience as a Data Engineer, ETL Developer, or System Integration Specialist
• Strong proficiency in SQL and hands-on experience with relational databases, data warehousing, and development projects
• Proven ability to design, build, and optimize data pipelines, architectures, and datasets
• Familiarity with cloud platforms, big data technologies, and programming languages such as Python or Java
• Experience in REST API design and development
• Working knowledge of message queuing systems and stream processing frameworks
• Demonstrated success in collaborating with cross-functional teams in fast-paced, dynamic environments

Responsibilities

• Design and maintain scalable data pipelines for extracting, transforming, and loading data from diverse sources using big data technologies
• Manage large, complex datasets that fulfill both functional and non-functional business requirements
• Drive process improvements by identifying opportunities to automate manual workflows and enhance data delivery performance
• Collaborate with business units to gather data and business requirements, translating them into effective data-driven solutions
• Implement and support data platform architecture, including AI-powered applications, to deliver data services across systems and to business users
• Establish and enforce data governance models to ensure high standards of data quality, consistency, and compliance

(Candidates with less experience will be considered for Assistant Data Engineer.)

• Associate

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Sun Hung Kai Properties Limited by 2x

Join to apply for the Data Engineer role at Jane Street

Join to apply for the Data Engineer role at Jane Street

Direct message the job poster from Jane Street

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

• Top-notch programming skills in any language (Python a plus)
• Experience with using SQL and relational databases
• Experience with generating data visualizations
• Meticulous approach to data quality and validation
• Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems
• Fluency in English is required

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Information Technology, and Finance

Referrals increase your chances of interviewing at Jane Street by 2x

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

Wan Chai District, Hong Kong SAR 1 week ago

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

Central & Western District, Hong Kong SAR 5 days ago

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

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Data Engineer to join our Data Services Team in Hong Kong or Singapore.

As a Data Engineer, you will be part of our global data service team, mainly responsible for designing, implementing, and maintaining data processes and data infrastructures for quantitative research and trading.

• Collaborating with portfolio managers, researchers and traders to understand their data requirements and to find data solutions
• Onboarding and managing vendor datasets used extensively in Tower trading and research platforms
• Designing, implementing, and maintaining the infrastructure necessary to support the firm's data management processes, including storage, compute, and networking resources
• Building and maintaining ETL pipelines
• Contributing to the design and development of Tower data platform
• Designing and implementing data quality checks
• Monitoring data processes and data health, participating in on-call rotation, proactively solving data related problems
• Supporting internal data users (Traders, Researchers)

• Master's in Computer Science, Quantitative Finance or Information Technology, or a related field, or equivalent work experience
• At least 2+ years of experience in Python
• Familiarity with ETL processes, data modeling, and database design principles
• Familiarity with database systems such as SQL Server, PostgreSQL, or MySQL
• Experience with CI/CD processes and DevOps
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills
• Ability to work autonomy as part of a global team
• Plus - Proficient in AI/ML techniques for detecting patterns and anomalies
• Plus - Knowledge of referential data and corporate actions
• Plus - Experience in building scalable data systems

• Strong AI/ML skills for pattern and anomaly detection
• Experience with CI/CD processes and DevOps
• Expertise in scalable data systems
• Experience in the financial/trading sector

Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

• Competitive salary and discretionary bonuses
• 5 weeks of paid vacation per year
• Breakfast, lunch, and snacks on a daily basis
• International medical insurance
• Free gym membership
• For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution
• Free events and workshops
• Donation matching program

Tower Research Capital is an equal opportunity employer.

Direct message the job poster from Midas Analytics

Midas Analytics is Asia’s leading market intelligence platform, built for businesses navigating the region’s fastest-growing economies. We transform fragmented local-market data into real-time, AI-powered insights, integrating market intelligence, financial data, and proprietary analytics. Headquartered in Hong Kong, Midas delivers unmatched visibility into markets, industries, and investment opportunities. Our platform turns complexity into clarity, empowering global teams to make smarter, faster decisions. Learn more at

Role Description

This is a full-time, on-site role for a Data Engineer located in Hong Kong SAR. The Data Engineer will be responsible for designing, developing, and maintaining data pipelines, data models, and data warehouses. The individual will also perform web scraping at scale, ETL processes, analyze large datasets, and generate actionable insights. Daily tasks will include collaborating with cross-functional teams to ensure data quality and supporting data-driven decision-making across the organization.

Qualifications

• Skills in Data Engineering and Data Modeling
• Experience in webscraping
• Experience with Extract Transform Load (ETL) processes and Data Warehousing
• Expertise in Data Analytics
• Proficiency in SQL, Python, or other programming languages relevant to data engineering
• Strong problem-solving skills and attention to detail
• Ability to work collaboratively in a team environment
• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience in the market intelligence or finance industry is a plus

For this position, we are looking for a motivated endless fighter capable of executing tasks with no major supervision. The candidate should be always equipped with an innate 'can do' attitude.

The ideal candidate should not only possess programming skills, but also require organisation and conceptualisation skills along with a strong detail-orientation.

If you are passionate about Data and AI, if you are looking for a fast-paced environment which can give you real valuable skills for a vertical career growth, if you are willing to put energy and efforts into your passion and learn as much as you can from a young, fun a dynamic startup, then you have come to the right place.

Send us your CV via email let's have a chat!

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Midas Analytics by 2x

Kwun Tong District, Hong Kong SAR 8 months ago

Hong Kong SAR $28,000.00-$5,500.00 1 month ago

Hong Kong SAR $1 ,000.00- 24,000.00 5 days ago

Hong Kong SAR 4,800.00- 7,200.00 3 weeks 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 Engineer role at Sun Hung Kai Properties Limited .

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

• Bachelor's degree in Computer Science, Information Systems or related disciplines
• Minimum 3 years’ experience as a Data Engineer, ETL Developer, or System Integration Specialist
• Strong proficiency in SQL and hands-on experience with relational databases, data warehousing, and development projects
• Proven ability to design, build, and optimize data pipelines, architectures, and datasets
• Familiarity with cloud platforms, big data technologies, and programming languages such as Python or Java
• Experience in REST API design and development
• Working knowledge of message queuing systems and stream processing frameworks
• Demonstrated success in collaborating with cross-functional teams in fast-paced, dynamic environments

Responsibilities

• Design and maintain scalable data pipelines for extracting, transforming, and loading data from diverse sources using big data technologies
• Manage large, complex datasets that fulfill both functional and non-functional business requirements
• Drive process improvements by identifying opportunities to automate manual workflows and enhance data delivery performance
• Collaborate with business units to gather data and business requirements, translating them into effective data-driven solutions
• Implement and support data platform architecture, including AI-powered applications, to deliver data services across systems and to business users
• Establish and enforce data governance models to ensure high standards of data quality, consistency, and compliance

(Candidates with less experience will be considered for Assistant Data Engineer.)

• Associate

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Sun Hung Kai Properties Limited by 2x

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Data Engineer to join our Data Services Team in Hong Kong or Singapore.
As a Data Engineer, you will be part of our global data service team, mainly responsible for designing, implementing, and maintaining data processes and data infrastructures for quantitative research and trading.

• Collaborating with portfolio managers, researchers and traders to understand their data requirements and to find data solutions
• Onboarding and managing vendor datasets used extensively in Tower trading and research platforms
• Designing, implementing, and maintaining the infrastructure necessary to support the firm's data management processes, including storage, compute, and networking resources
• Building and maintaining ETL pipelines
• Contributing to the design and development of Tower data platform
• Designing and implementing data quality checks
• Monitoring data processes and data health, participating in on-call rotation, proactively solving data related problems
• Supporting internal data users (Traders, Researchers)

• Master's in Computer Science, Quantitative Finance or Information Technology, or a related field, or equivalent work experience
• At least 2+ years of experience in Python
• Familiarity with ETL processes, data modeling, and database design principles
• Familiarity with database systems such as SQL Server, PostgreSQL, or MySQL
• Experience with CI/CD processes and DevOps
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills
• Ability to work autonomy as part of a global team
• Plus - Proficient in AI/ML techniques for detecting patterns and anomalies
• Plus - Knowledge of referential data and corporate actions
• Plus - Experience in building scalable data systems

• Strong AI/ML skills for pattern and anomaly detection
• Experience with CI/CD processes and DevOps
• Expertise in scalable data systems
• Experience in the financial/trading sector

Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

• Competitive salary and discretionary bonuses
• 5 weeks of paid vacation per year
• Breakfast, lunch, and snacks on a daily basis
• International medical insurance
• Free gym membership
• For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution
• Free events and workshops
• Donation matching program

Tower Research Capital is an equal opportunity employer.

Join to apply for the Data Engineer role at Jane Street

Join to apply for the Data Engineer role at Jane Street

Direct message the job poster from Jane Street

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

• Top-notch programming skills in any language (Python a plus)
• Experience with using SQL and relational databases
• Experience with generating data visualizations
• Meticulous approach to data quality and validation
• Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems
• Fluency in English is required

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Information Technology, and Finance

Referrals increase your chances of interviewing at Jane Street by 2x

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

Wan Chai District, Hong Kong SAR 1 week ago

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

Central & Western District, Hong Kong SAR 5 days 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 IoT Data Engineer role at Canonical

2 days ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

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

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  
  

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Hong Kong, Hong Kong SAR SGD24,000.00-SGD60,000.00 4 days ago

Kwai Tsing 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.

Responsibilities

• Build a universal data platform, meet real-time/offline computing and storage requirements;
• Define the data pipeline scheme according to the demand scenarios, and deliver it by multiple methods based on various infrastructure;
• Enhance the data platform, improve the stability and flexibility of data asset, and optimize the resource efficiency;

Requirements

• Bachelor degree or above, major in computer, big data, mathematics, and more than 5 years of data development experience;
• Familiar with Hadoop, Spark, Flink, Airflow and other popular data platform components, understand the working principle of them, and have optimization experience about these components;
• Have a certain understanding of distributed system principles, calculations, and storage;
• Good communication and logical thinking skills, good self-drive, continuous learning and updating knowledge system;

Life @ Crypto.com

Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.

Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.

Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.

Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.

One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.

Benefits

Competitive salary

Medical insurance package with extended coverage to dependents

Attractive annual leave entitlement including: birthday, work anniversary

Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up

Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.

Work Perks: crypto.com visa card provided upon joining

Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.

About Crypto.com:

Founded in 2016, Crypto.com serves more than 80 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.

Learn more at

Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.

Personal data provided by applicants will be used for recruitment purposes only.

Not Applicable

Full-time

Engineering and Information Technology