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As the demand for data-driven insights continues to rise, so does the need for data engineers. Data engineers are responsible for building and maintaining the infrastructure necessary for storing, processing, and analyzing large data sets.
This profession has been gaining popularity over the past few years in Singapore. Many companies are looking to hire data engineers to help them make sense of their data.
This article will explore the salary expectations for data engineers in Singapore and what factors may influence them.
Job Prospects for Data Engineers
The job prospects for data engineers in Singapore are excellent, with a projected growth rate of 10% from 2020 to 2030. The demand for data engineers is expected to rise as companies continue to rely on data-driven decision-making and invest in big data infrastructure. This growth rate is higher than the average growth rate for all occupations in Singapore.
Entry-Level Data Engineers:
To become an entry-level data engineer in Singapore, they should have a strong foundation in computer science and programming, with proficiency in languages such as Python, Java, and SQL. Basic knowledge of big data technologies such as Hadoop, Spark, and Hive is also essential.
Entry-level data engineers in Singapore typically assist senior data engineers with the design, development, and maintenance of data pipelines and ETL processes. They are also responsible for testing and troubleshooting data pipelines to ensure that they are functioning correctly. Entry-level data engineers may also be involved in data modeling and database design.
Senior Data Engineers
Senior data engineers are expected to have a strong foundation in data modeling, data warehousing, and database design. They should be proficient in programming languages such as Python, Java, and Scala, and have experience working with big data technologies such as Hadoop, Spark, and Hive. Knowledge of cloud computing platforms such as AWS, Azure, and Google Cloud Platform is also essential.
Senior data engineers in Singapore are responsible for designing, developing, and maintaining data pipelines and ETL processes. They are expected to have a deep understanding of data modeling and database design and should be able to optimize database performance. Senior data engineers may also be responsible for mentoring and training junior data engineers.
Lead Data Engineers:
Lead data engineers should have excellent leadership skills and be able to manage and mentor a team of data engineers. They should have experience in data architecture and design, as well as expertise in big data technologies such as Hadoop, Spark, and Hive. They should also be proficient in programming languages such as Python, Java, and Scala, and have knowledge of cloud computing platforms such as AWS, Azure, and Google Cloud Platform.
Good communication skills are also important for lead data engineers, as they will be required to liaise with stakeholders across the organization.
Average Salaries for Data Engineers in Singapore
According to Glassdoor, the average salary for a data engineer in Singapore is around S$6,000 per month. However, this estimation can vary greatly depending on a range of factors such as:
Industry
The data engineering industry in Singapore is diverse, with opportunities in fields such as finance, healthcare, e-commerce, and more. Salaries can vary depending on the industry, with some sectors paying significantly higher than others. Here is the average salary for each category of industry.
- Finance Industry: S$7,200 per month
- E-commerce Industry: S$6,500 per month
- Social Networking Industry: S$11,600 per month
- Communication Technology Industry: S$5,500 per month
Location
Below is the salary of data engineers in several major cities in Singapore.
- Yishun: S$4,600 per month
- Jurong West: S$9,000 per month
- Tampines: S$4,200 per month
- Serangoon: S$2,500 per month
Job Experience
As with most professions, job experience can have a significant impact on data engineer salaries.
- Entry-Level Data Engineers (1-2 years of experience): S$6,000 per month,
- Senior Data Engineer (5-9 years of experience): S$8,400 per month.
- Lead Data Engineer (More than 10 years of experience): S$10,500 per month.
Top-Paying Companies for Data Engineers in Singapore
While salaries can vary depending on a range of factors, some companies in Singapore are known to pay data engineers more than others. Here are some of the top-paying companies for data engineers in Singapore:
- Meta: S$11,600 per month
- Lazada: S$9,000 per month
- Grab: S$7,800 per month
- OCBC Bank: S$7,200 per month
- Shopee: S$6,500 per month
Conclusion
Data engineering is a high-demand profession in Singapore, and the salary for data engineers can vary significantly based on industry, location, and job experience. However, those with specialized skills, experience, and certifications can earn significantly more.
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Source:
https://www.glassdoor.sg/Salaries/data-engineer-salary-
https://nodeflair.com/companies/thoughtworks/salaries/data_engineer-lead/Singapore#:~:text=The average salary for a,of S%2410%2C500 per month.
