95 Big Data Hadoop jobs in Hong Kong

Position: Data Processing & Management Officer (DPMO)

Ref.: CO9

• Data processing, verification, and report compilation

• School Certificate or above
• Good command of English and Chinese
• PC knowledge (Windows/Office/Internet Explorer)
• Chinese (Changjie – 40 wpm) & English (70 wpm) typing skills are essential
• Well-organized, responsible, and accurate data processing skills
• Prepared to work under pressure
• 3 years of data processing experience is an advantage

Please quote the respective Ref. and Position you are applying for in your application, along with your full resume, photo, phone number, and expected remuneration, to:

The HR Manager - Total Credit & Risk Management Group

Email:

(Information provided will be treated in strict confidence and used for employment purposes only.)

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

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.