Data Engineer Salary in Singapore

Data Engineer roles in Singapore offer competitive salaries with opportunities for growth. The position combines technical expertise with business impact, requiring skills in Python, SQL, ETL. Remote work opportunities are increasing, with many companies offering flexible arrangements.

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Data Engineer Salary in Singapore – 2024

Average Salary $117,000

Junior Level

$70,200 - $93,600

Experience: 0-2 years

Middle Level

$93,600 - $140,400

Experience: 3-5 years

Senior Level

$140,400 - $210,600

Experience: 6+ years

Hourly Rate

$47.81 - $64.69 per hour

Based on 40-hour work week, rates may vary by region and company


Healthcare

Comprehensive medical, dental and vision insurance coverage for you and your family

Approx. $8,190 per year


Annual Bonus

Additional annual compensation based on individual and company performance

$5,850 - $17,550


Equity Bonus

Company equity compensation based on local market standards and company policy

Up to $11,700

Education Requirements

    Professional Certifications

    Google Data Engineer Azure Data Engineer

    Training

    Continuous learning and development opportunities available

    Required Skills

    Core Skills

    Python SQL ETL Data Warehousing

    Trending Skills

    Spark Airflow dbt Snowflake

    Emerging Skills

    Real-time Processing Data Mesh

    Specifics

    Work Environment

    Remote with team collaboration

    Tools

    ETL tools Data warehouses Big Data platforms

    Collaboration

    Work with data teams

    Time Zones

    Flexible schedule

    Benefits

    Common Benefits

    Health Insurance
    Paid Time Off
    Remote Work Options
    Professional Development
    Mental Health Support
    Flexible Hours
    Home Office Allowance

    Additional Benefits

    Stock Options
    Performance Bonuses
    Health and Wellness Programs
    Home Office Setup
    Internet Allowance
    Coworking Space Access
    Learning & Development Budget
    Conference Attendance

    Similar Positions

    Big Data Engineer ETL Developer Database Engineer Analytics Engineer ML Engineer

    Frequently Asked Questions

    What is the average Data Engineer salary in Singapore?

    The average salary for a Data Engineer in Singapore is $117,000 per year. Entry-level positions (Junior Level) start at $70,200 - $93,600, while experienced professionals (Senior Level) can earn up to $140,400 - $210,600.

    What skills are required for a Data Engineer role?

    Core skills include Python, SQL, ETL, Data Warehousing. Trending skills are Spark, Airflow, dbt, Snowflake, while emerging skills focus on Real-time Processing, Data Mesh.

    What is the job market outlook for Data Engineers?

    The job market shows high demand with 15% annual growth. Remote work opportunities are increasing, with high availability across various job platforms. Key industries include Technology, Finance, Healthcare, E-commerce, EdTech, FinTech, Cybersecurity, Clean Tech.

    What benefits are typically offered to Data Engineers in Singapore?

    Common benefits include Health Insurance, Paid Time Off, Remote Work Options, Professional Development. Additional benefits may include Stock Options, Performance Bonuses, Health and Wellness Programs, Home Office Setup.

    What roles are similar to Data Engineer?

    Similar positions to Data Engineer include Big Data Engineer, ETL Developer, Database Engineer, Analytics Engineer. These roles share many of the same responsibilities and required skills, though their focus areas may vary slightly by organization.

    What is the hourly rate for Data Engineers in Singapore?

    Based on a standard 40-hour work week, Data Engineers in Singapore typically earn between $47.81 and $64.69 per hour per hour. Rates may vary depending on location, experience level, and specific employer.

    What are the core and trending skills for Data Engineers?

    Core skills essential for Data Engineers include Python, SQL, ETL, Data Warehousing. The most in-demand trending skills currently are Spark, Airflow, dbt, Snowflake. Professionals looking to stay competitive should also keep an eye on emerging skills like Real-time Processing, Data Mesh.

    About Salary Data

    Our salary data is compiled from trusted sources including:

    Additional market insights from:

    Note: Salary ranges are approximate and may vary based on location, experience, skills, and other factors. Data is regularly updated to reflect current market conditions.

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