# Data Engineer Salary in Thailand

> Median Data Engineer salary in Thailand is ฿10.2K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.

- Canonical URL: https://www.spotsalary.com/salary/data-engineer/thailand-th
- Currency: THB
- Benchmark year: 2026
- Confidence: 50%
- Outlook: Stable
- Last updated: 2026-10-31T15:53:59+00:00
- Generated by: SpotSalary

## Key facts

- Median (mid-level) annual salary: **฿10.2K** (฿853 per month before tax).
- Middle 50% range (P25–P75): ฿8.2K – ฿11.9K.
- Full range (P10–P90): ฿6.6K – ฿14.2K.
- Experience band: 3–5 years.

## Salary by experience level

| Level | Experience | P10 | P25 | Median | P75 | P90 | Base / Bonus / Equity |
| --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
| Entry | 0–2 yrs | ฿4.3K | ฿5.3K | ฿6.7K | ฿7.7K | ฿9.2K | 95% / 5% / 0% |
| Mid | 3–5 yrs | ฿6.6K | ฿8.2K | ฿10.2K | ฿11.9K | ฿14.2K | 88% / 8% / 4% |
| Senior | 6–9 yrs | ฿10.9K | ฿13.5K | ฿16.9K | ฿19.6K | ฿23.5K | 80% / 10% / 10% |
| Executive | 10–15 yrs | ฿18.4K | ฿22.9K | ฿28.7K | ฿33.3K | ฿39.8K | 65% / 15% / 20% |

## Take-home pay

Tax method: progressive brackets.

| Level | Gross | Tax | Effective rate | Net annual | Net monthly |
| --- | ---: | ---: | ---: | ---: | ---: |
| Entry | ฿6,654 | ฿0 | 0.0% | ฿6,654 | ฿555 |
| Mid | ฿10,238 | ฿0 | 0.0% | ฿10,238 | ฿853 |
| Senior | ฿16,892 | ฿0 | 0.0% | ฿16,892 | ฿1,408 |
| Executive | ฿28,665 | ฿0 | 0.0% | ฿28,665 | ฿2,389 |

Social contributions and local levies are not included.

## Five-year salary outlook

Outlook: Stable. Inflation assumption: 3.0%/year. Real growth: 0.0%/year.

| Year | P25 | Base (P50) | P75 | Nominal change vs today |
| --- | ---: | ---: | ---: | ---: |
| 2027 | ฿9.9K | ฿10.5K | ฿11.2K | 3.0% |
| 2029 | ฿10.4K | ฿11.2K | ฿12K | 9.3% |
| 2031 | ฿10.9K | ฿11.9K | ฿12.8K | 15.9% |

## What moves this number

- **Inflation (CPI)** (steady): 3.0% annual price growth
- **Wage growth** (up): 3.0% nominal wage trend
- **Role demand trend** (steady): 0.0% annual role demand
- **Hiring demand** (steady): Demand index 50/100
- **Automation exposure** (steady): 35% exposure
- **Real wage growth** (up): 0.0% after 3.0% inflation
- **Scenario growth** (up): 3.0% modelled nominal growth

## Frequently asked questions

### What is the average salary of a Data Engineer in Thailand?

SpotSalary models a median annual salary of ฿10.2K for a Data Engineer in Thailand, or about ฿853 per month before tax. The middle 50% of the estimate ranges from ฿8.2K to ฿11.9K, with a full P10–P90 range of ฿6.6K to ฿14.2K. This is a modelled estimate, not a job offer.

### How much does an entry-level Data Engineer earn in Thailand?

The entry-level band for a Data Engineer in Thailand centres on ฿6.7K per year (P25–P75: ฿5.3K–฿7.7K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities.

### How much does a senior or executive Data Engineer earn in Thailand?

The executive band for a Data Engineer in Thailand has a median of ฿28.7K per year and a P75 of ฿33.3K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level.

### What is the salary outlook for a Data Engineer in Thailand?

The outlook is stable. In the base scenario, median pay reaches ฿11.9K by 2031, about 15.9% above today before inflation and 0.0% per year in real terms after 3.0% inflation. Scenario bands widen over time and are not guarantees.

### What is the take-home pay for a Data Engineer in Thailand?

After an effective income tax rate of 0.0%, the mid-level Data Engineer in Thailand takes home about ฿10,238 per year, or ฿853 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies.

### How does SpotSalary calculate these salary estimates?

Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 50% confidence.

## Methodology and sources

SpotSalary anchors estimates to external market signals (GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure) and synthesises them with AI. Deterministic validation rejects implausible outputs. Figures are modelled estimates for guidance only, not offers.

Sources:
- SpotSalary deterministic wage model (derived data)

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Source: https://www.spotsalary.com/salary/data-engineer/thailand-th · SpotSalary