![Data Engineer Salary in Singapore [Updated for 2024]](/_next/image?url=https%3A%2F%2Fd2o2utebsixu4k.cloudfront.net%2Fmedia%2Fimages%2F9a772b3a-d419-4e98-a28c-ffe426832385.png&w=1920&q=75)
Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.
For enquiries call:
+1-469-442-0620
- Home
- Blog
- Data Science
- Data Engineer Salary in Singapore [Updated for 2024]
HomeBlogData ScienceData Engineer Salary in Singapore [Updated for 2024]
Share
Data Engineer Salary in Singapore [Updated for 2024]
Published
05th Mar, 2024
Views
Read TimeRead it in
15 Mins
In this article
Data engineers are highly in demand and short in supply. Data engineering is one of the hottest jobs that is trending across the globe. Singapore has a thriving technical market that has been on the lookout for data engineers. Top MNCs in Singapore are hiring Data Engineers and offering exciting salary packages. So, whether you have just started with your SQL or Data Engineering Bootcamp, stay motivated, and look at this comprehensive guide that talks about what a Data engineer's job is, what a data engineer salary is in Singapore, and how you can boost your salary.
Who is Data Engineer and What Do They Do?
Data is omnipresent, whether Big Data, AI, ML, Data Engineering, or Data Science. Data Engineering is quite a contemporary term used in the tech world. A Data Engineer's core responsibility is to process large amounts of data and optimize its storage. Let us look at some of the functions of Data Engineers:
- They formulate data flows and pipelines
- Data Engineers create structures and storage databases to store the accumulated data, which requires them to be adept at core technical skills, like design, scripting, automation, programming, big data tools, etc.
- Data engineers also analyze the kind of data that should be retrieved and stored.
- They specifically design a process per the industry requirements and market standards.
Let us learn more about the data engineer salary per month in Singapore and whether they are in demand in the country!
How Much Do Data Engineers Make in Singapore?
- The average data engineer salary in Singapore is S$6998 per month.
- The average base salary for a Data Engineer in Singapore is S$131,677 annually. The estimated average total compensation is S$162,929.
Here is a list of top companies and the data engineer average salary in Singapore offered by them:
| Company | Salary per month |
|---|---|
Company | Salary per month |
Meta | S$12,402 per month |
ByteDance | S$11,525 per month |
Singtel | S$11,423 per month |
Thoughtworks | S$11,402 per month |
Standard Chartered Bank | S$11,315 per month |
Are Data Engineers in High Demand in Singapore?
Data Engineers are always in demand by top organizations who need their expertise, skills, talent, and professionalism to unlock the full potential of their data.
Data Engineering is one of the fastest-growing tech jobs in Singapore. Not only in Singapore, but Data Engineering jobs have also seen a 50% annual growth rate across the globe, according to a report published by The Dice 2020 Tech Job Report.
In particular, Singapore has an extremely high demand for specialist talent in e-commerce, data engineering, and sciences, and there needs to be more shortage of supply.
Data Engineers and Data analysts are among the top 12 jobs in demand in the country. The most lucrative specialties are data engineering, electrical engineering, full stack engineering, mechanical engineering, and more.
Data Engineer Salaries by Role in Singapore
Let us look at some of the average monthly salaries for the top positions related to Data Engineering in Singapore in 2023:
- Data Engineer - The average data engineer salary in Singapore is S$6,000 per month.
- Big Data Engineer - The average big data engineer salary Singapore is S$6,900 per month. These engineers deal only in Big Data and specialize in the field.
- Machine Learning Engineer - The average National salary in Singapore for a Machine Learning Engineer is S$6322 per month. These data engineers work mainly on AI applications and the cloud, using high-rated and upgraded software
- Data Architect - The average National salary in Singapore for a Data Architect is S$11000 per month. These professionals use their computer science and design skills to frame data infrastructure, plan future databases, and store and manage data for organizations and users.
Data Engineer Salaries by Industry in Singapore
Today, nearly every industry, including healthcare, tech, manufacturing, Government, agriculture, finance, and telecommunications, uses advanced data analytics for a variety of business use cases.
1. Technology
According to a Glassdoor report, data engineering average salary at large companies generally ranges from S$86,288 to S$171,980. Data engineers in the technology industry focus on data streaming and data processing pipelines. Size issues are another major data engineering issue for technology companies. Data engineers in technology departments must design systems that can scale to handle huge volumes of different departments and data types.
2. Health care
According to Glassdoor, the average salary for a healthcare data engineer is S$109,717. Data related to patient outcomes, claims processes, staffing and operations, and product development creates diverse job opportunities for data engineering in the industry. Data engineers working on healthcare product development may build data systems to support AI-powered medical image analysis. On the other hand, a data engineer working in a hospital system might design a data architecture that manages and integrates electronic medical records. Healthcare is regulated, so your data infrastructure must meet extensive compliance and audit requirements. In short, the data system must consistently and efficiently provide high-quality data for detailed models.
3. Government
According to Glassdoor, the average annual salary for a data engineer working for the federal government is between S$117,032 and S$126,963. Data engineers work on data to manage education, taxes, social services, transportation, and more. Procurement regulations, political ties, and the slow pace of business create the need for data engineers at all levels of specific private sector attitudes.
4. Finance
According to ZipRecruiter data from the financial services sector, a data engineer's average salary is S$104,114. From fraud detection to risk management to automated trading, big data plays an integral role in today's financial industry, and data engineers are responsible for building complex and sophisticated applications.
Data engineers are essential to the backbone of successful data science and analytics projects for building and managing data pipelines and are the most sought-after data science teams. The average salary for each industry or freelancing data engineer salary in Singapore depends on the following factors:
- Education Level
- Industry
- Change in Salary with Years of Experience
- Annual Salary Increment in Singapore
- Bonus and Incentive Rates in Singapore
Some of the leading industries and employers in Singapore include the following:
- Singapore Airlines
- JP Morgan
- Apple
- PwC
- Walt Disney Company
- Goldman Sachs
- Deloitte
- KPMG
- E&Y (Ernst & Young)
Data Engineer Salaries by Experience in Singapore
Here is a gist of data engineer salaries in Singapore depending on the experience:
- Entry-Level Data Engineer Salary: Data engineer salary in Singapore for freshers with less than 1 year of experience can earn a salary of approximately S$49,414 which also includes perks, bonuses, and overtime pay. An early career Data Engineer or Junior data engineer salary Singapore with 1-4 years of experience earns approximately S$59,209.
- Mid-Level Data Engineer Salary: A mid-career Data Engineer with 5-9 years of experience earns an average compensation of S$88,330.
- Senior data engineer salary Singapore: An experienced Data Engineer with 10-19 years of experience earns an average compensation of S$102,409.
Data Engineer Salaries by Education in Singapore
A bachelor's degree is often the minimum requirement for data engineering positions. Organizations often require a master's degree or specialized Ph.D. and are typically looking for senior data engineers with proven leadership skills and industry experience. An advanced degree increases earning potential by promoting you to senior positions faster.
Data Engineer salary by education:
1. No Degree
To become a data engineer in Singapore, the minimum educational qualification you need, is a Bachelor's degree, either in the stream of technology or computer science. Without a degree, you will not be able to secure a job in data engineering in Singapore.
2. Bachelor's
An Intern - S$2,000 / month, and as a Junior - S$5,500 / month. This is the salary range that you can expect as a Data Engineer in Singapore after you have completed your minimum bachelor's Degree. This is the starting pay scale that you can expect.
3. Masters
You can reach the Mid-level and start with a salary of S$6,000 - S$9,750 / month. Further, you can move to Senior and lead positions which offer a salary of S$7,500 - S$14,000 / month
Although to start your career as a data Engineer, you need a bachelor's degree in computer science or a related field. However, to advance your career as a data engineer and seek a better pay package, a Master's degree is recommended.
How to Boost Your Data Engineer Salary?
You can earn more as a data engineer in Singapore based on experience, education, internships, company, industry, location, and certifications. Here are some simple ways to boost your data engineer salary in Singapore:
1. Expand Your Skill Set
Different skills that can affect your salary are Big Data Analytics, Scala, Hadoop, Python, AWS, Spark, Linux, etc. Certifications from IBM, Amazon, Google, Oracle, and Microsoft can also help you earn more and get jobs in specialist roles. Data Engineer job titles vary by company, tasks, and skills required. Here is the Singapore data engineer salary of employees who have different skillsets:
| Job Title | Salary |
|---|---|
Cloud data engineer | S$116,497 |
AI engineer | S$126,774 |
Big data engineer salary in Singapore | S$116,675 |
Data science engineer | S$127,966 |
Database architect | S$143,601 |
Enterprise data architect | S$172,872 |
Hadoop engineer | S$143,322 |
Information systems engineer | S$92,340 |
2. Choose the Right Location
Some of the top countries that provide the best education in data science include the USA, UK, Singapore, Canada, France, Australia, and New Zealand. Choosing Singapore as your preferred location for a data engineer job is a pretty lucrative and encouraged option as the country is world-renowned for its Engineering infrastructures and educational institutions like the National University of Singapore and National Technological University which are ranked in the top 50 universities as QS World University Rankings. The country provides suitable options for talented professionals. Let us take a look at the Data Engineer Salary in Singapore, compared to other locations:
| Location | Salary per year |
|---|---|
Taipei, Taiwan | S$241k |
Zurich, Switzerland | S$141k |
Tel Aviv, Israel | S$140k |
San Francisco, CA | S$138k |
Singapore, Singapore | S$132k |
Seattle, WA | S$122k |
Austin, TX | S$117k |
Santa Barbara, CA | S$114k |
Vancouver, Canada | S$111k |
New York, NY | S$110k |
3. Gain More Experience
As your career grows from an entry-level to mid-level and finally to a professional level, along with the annual appraisal offered by top organizations in Singapore, your salary as a Data Engineer will increase year-on-year. According to Payscale, data engineers in Singapore with entry-level experience make an average annual salary of S$89,715, which can increase to S$108,537 for professionals. With experience, you can earn a much higher salary and move into more senior roles.
4. Pursue a New Degree or Certification
Advance your data engineering career on the cloud, and learn how to implement analytics solutions, communicate with stakeholders using data exploration, and design and optimize a data platform to meet your data pipeline requirements
- Sign up for Data Engineer Training to build your proficiency in various areas, including Data Warehousing, Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security, AWS, and more. You will also be ready for your industry by learning to design and build databases, collect and analyze data, and prepare data models. Earning this data engineer certification will prepare you to solve complex business problems in the field of data engineering.
- You can also get the Best Data Science Online Certification. This course prepares you for the job by taking a hands-on approach to complex data science problems. This certification can even assist you in mastering the data engineering technologies and tendencies riding the Data Science revolution. Skill up for roles inclusive of Data Scientist, Data Engineer, and AI Engineer. Get educated and mentored by professionals with real-global revel at your own pace.
- One of the excellent guides and certifications you may obtain whilst searching out a data engineering process is KnowledgeHut's Data Science for Python course in Singapore. Get hands-on Python capabilities and boost up your information technological know-how career. You can Perform K-method Clustering and Hierarchical Clustering and Build a KNN set of rules fashions to discover the choicest cost of K . You also can find ways to Build Decision Tree fashions for each regression and class trouble.
By including such renowned certifications and extra levels in your resume, you get higher opportunities associated with Data engineering in Singapore that provide you with a better package. All you need to do is:
- Receive training
- Take the exam
- Get Certified
- Optimize and analyze data like a pro
What are the Data Engineer Salaries in Top Companies in Singapore?
Here are some of the top companies in Singapore and the Data Engineer salaries they offer:
Top companies for Data Engineer Salaries in Singapore:
| Company | Salary per year |
|---|---|
Amazon | S$214k average |
Apple | S$140k average |
S$103k average | |
EY | S$96k average |
ByteDance | S$87k average |
Other prominent companies and their offered data engineer salary in Singapore are:
Shopee | SGD 6,500 monthly |
Singtel | SGD 5,500 monthly |
Grab | SGD 86,400 annually |
Micron Technology | SGD 6,283 monthly |
ST Engineering | SGD 5,215 monthly |
Top Paying Cities for Data Engineers in Singapore
Here are the top data engineer Singapore salary-paying cities in and near the country::
| City | Salary per Month |
|---|---|
River Valley | S$7,636 per month |
Tanjong Pagar | S$7,062 per month |
Singapore | S$7,061 per month |
Clementi | S$6,624 per month |
Outram | S$6,589 per month |
Toa Payoh | S$6,235 per month |
Geylang | S$6,205 per month |
Shenton Way | S$6,164 per month |
Raffles | S$6,014 per month |
Conclusion
To become an expert in data engineering and big data, you need to enroll in a professional certification program. Become a pro in no time with an industry-focused curriculum, hands-on exercises, and project-based learning offered by KnowledgeHut. Data engineers design, manage and optimize data flows using these databases across the enterprise. As of March 2022, Singapore offers more than 10,000 data scientist and data engineer jobs. Salaries in Singapore are competitive, and companies looking to hire foreign talent are happy to pay high wages and offer attractive perks to the right candidates. This means that you can earn significantly more than in your home country.
Frequently Asked Questions (FAQs)
1. Is a data engineer internship a good way to get a job in Singapore?
As a student, a data engineer internship in Singapore is necessary to get your first job. Depending on your experience, getting your first job as a data engineer cannot be difficult if you know the field you want to work in. If you are new to data engineering, the technical barriers to entry are very high. Data engineers need much more comprehensive technical skills than data analysts. Thus it is imperative to get a data engineer internship which can land you a great job with one of the top companies and industries in Singapore.
However, internships can build professional relationships and mentors. This can prove useful in your career, especially if you are keen on finding the right person. Maintaining good relationships at workplaces where you have had previous internships can open up significant opportunities and options that you otherwise would not have had. Ultimately, internships can help you land your dream job, a timely mid-career hire, or the first in your business.
2. What is a good data engineer salary in Singapore?
An Average data engineer's salary in Singapore can be SGD 6,400. The national average salary for a Data Engineer is S$6,000 in Singapore. This average can increase with annual appraisals, experience, and updation in skillsets.
3. Who gets paid more data engineer or data scientist in Singapore?
A Data Scientist in Singapore can earn approximately S$6,500 per month, while a Data Engineer can earn S$5,853 per month. The average base pay for data scientists in Singapore is SGD 72,000, which is higher than the national average of SGD 56,160.
4. Do data engineers make more than ML engineers in Singapore?
Although Machine Learning Engineers are paid slightly more than Data Engineers and Data Scientists, Data Engineers are in higher demand for job openings than ML Engineers. ML engineers work in the new realm of artificial intelligence. Depending on the project's size, an ML engineer can usually get more from Google, Microsoft, or any other big-name company. The average base salary for data engineers in Singapore is S$129,000, and the average base salary for machine learning engineers is S$149,760.
5. What month do data engineers get appraisals in Singapore?
Typically appraisals and data engineer work can be evaluated fortnightly or every month. For salary appraisals, March-April is the month when the work done during the entire year is considered, and the performance of every data engineer is assessed. Based on this data, the salary appraisals take place in Singapore. Several data engineers in Singapore start as software engineers. As their career progresses, they can evolve into leadership roles and become data architects, solution architects, or machine learning engineers.
These are the approximate yearly data engineer salary Singapore increments:
- Junior data engineer salary Singapore increment- 3% – 5%
- Mid-Career- 6% – 9%
- Senior data engineer salary Singapore increment - 10% – 15%
- Top Management- 15% – 20%
6. Is data engineering a high-paying job in Singapore?
Being a data engineer is quite a lucrative and high-paying job in Singapore. The average salary for Data Engineer is S$6,000 per month in the Singapore Area. The average additional cash compensation for a Data Engineer in the Singapore Area is S$6,700, with a range from S$2,100 - S$21,660.
Upcoming Data Science Batches & Dates
| Name | Date | Fee | Know more |
|---|
Course Advisor
Hello! Ready to elevate your career? Explore 500+ future-ready courses with KnowledgeHut upGrad 🚀x
1
Fast forward your career with 500+ future-ready courses ⏩💻👩🎓📚x
1
