PayMetric Labs
Data & Analytics2026 dataSalary by location

Data Engineer Salary in the Philippines 2026: ₱77K/mo Median & Range

+11.5% YoYMarket research summary
  • AI-ready data foundations and real-time pipelines sustain strong demand across industries.
  • Global capability centers are centralizing data pipelines in Manila, keeping demand for pipeline-building talent consistently ahead of supply.

What does a Data Engineer earn in the Philippines?

The median Data Engineer salary in the Philippines is ₱77K/mo in 2026, with a typical range from ₱74K/mo to ₱83K/mo. Pay has moved +11.5% year-on-year. Metro Manila currently leads city pay at ₱94K/mo. This is base salary for permanent employees.

What does A Data Engineer do?

A Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure.

Day-to-day responsibilities

  • Writing Python or Scala
  • Orchestrating workflows with Airflow or dbt
  • Managing cloud data warehouses like BigQuery or Snowflake
  • Optimizing ingestion pipelines
Medium demand+16% dbt (data build tool)+14% Apache Spark+12% Snowflake

Permanent Salary Benchmark for Data Engineer

Permanent salary benchmarks for Data Engineer in the Philippines, from the low end to the top of the range, based on published market compensation data.

₱77K/mo

national median per month

+11.5% year on year

₱77K
₱53K₱114K
Low
₱53K
P25
₱74K
Median
₱77K
P75
₱83K
High
₱114K

High evidence · Philippines monthly benchmark · 2026 data · How we check our numbers

Data Engineer Salary by Seniority Level

Seniority is the biggest single driver of Data Engineer pay in the Philippines. Entry-level roles start at ₱50K, rising 222% to ₱161K at lead or principal level.

Junior

₱50K

₱50K-₱50K middle band

Mid-level

₱82K

₱82K-₱82K middle band

Senior

₱120K

₱120K-₱120K middle band

Principal/Lead

₱161K

₱161K-₱161K middle band

Skills That Command a Premium for Data Engineers

Certain technical skills push Data Engineer salaries in the Philippines significantly above the ₱77K median. These are the most impactful skills to develop or highlight when negotiating.

dbt (data build tool)

+16%

salary premium vs median

Apache Spark

+14%

salary premium vs median

Snowflake

+12%

salary premium vs median

Kafka

+18%

salary premium vs median

Data Engineer Salary in Metro Manila, Clark, Davao and Cebu

How much does a Data Engineer earn by city in the Philippines?

Data Engineer salary varies meaningfully by location. Metro Manila pays the most at ₱94K (22% above the national benchmark), while Davao sits at ₱70K (9% below the national benchmark). Location is worth factoring into any offer negotiation.

Data Engineer Take-Home Pay in the Philippines (2026)

After BIR Income Tax & Contributions · single, standard payroll deductions

Entry

Take-home/year

₱729,300

Effective rate

17.9%

Median

Take-home/year

₱755,625

Effective rate

18.2%

Senior

Take-home/year

₱808,275

Effective rate

18.8%

See the full band-by-band breakdown for Data Engineer

Adjust for your actual salary, see each BIR TRAIN income tax, SSS, PhilHealth, and Pag-IBIG contributions band, and get monthly and weekly figures.

Contract day rates available for this role

Median ₱96K/mo, see full breakdown, city rates, and take-home calculator

View Data Engineer day rates →
  • AI-ready data foundations and real-time pipelines sustain strong demand across industries.
  • Global capability centers are centralizing data pipelines in Manila, keeping demand for pipeline-building talent consistently ahead of supply.

Market Demand & Outlook

Hiring demand, top locations, and career outlook for Data Engineer

High Confidence

Demand level

Medium

Based on hiring signals relative to similar roles in this market.

Top hiring locations

Metro ManilaCebuClarkDavao

Career outlook

Strong upward salary momentum

Data Engineer salaries are showing strong movement, with latest benchmark growth at +11.5%.

Compare this role

Put the Data Engineer benchmark in context

Compare adjacent roles, employer estimates, published agency guides, and an offer against the market before you make a decision.

Why Data Engineer Salaries Are at This Level

Data Engineers in the Philippines earn a median salary of ₱77K/mo in 2026, with a typical range from ₱74K at the 25th percentile to ₱83K at the 75th percentile. This benchmark reflects published market compensation data for monthly pay across the Philippines market.

Metro Manila currently leads city pay at ₱94K/mo, which is 22% above the national benchmark. City coverage for this role includes Metro Manila, Clark, Davao, Cebu, helping you compare local pay differences without needing separate city-role pages.

At experience level, entry roles start around ₱50K/mo, senior roles sit near ₱120K/mo, and lead-level roles reach about ₱161K/mo. Demand is currently moderate for this role based on recent coverage and salary momentum signals.

Frequently Asked Questions About Data Engineer Salary in the Philippines

1

What is the median Data Engineer salary in the Philippines?

The median Data Engineer salary in the Philippines is ₱77K/mo in 2026. The typical range runs from ₱74K/mo at the 25th percentile to ₱83K/mo at the 75th percentile, based on published market compensation data.

2

Is Data Engineer salary increasing in the Philippines?

Data Engineer salaries have moved +11.5% year-on-year in the Philippines.

3

How does Data Engineer salary vary by city in the Philippines?

Data Engineer salaries vary across the Philippines. Metro Manila leads at ₱94K (+22% vs the national benchmark), while Davao sits at ₱70K. Use the city breakdown above to compare all locations.

4

What does a Data Engineer take home after tax in the Philippines?

A Data Engineer earning the median ₱77K gross in the Philippines will take home a net amount after income tax and other deductions. Use the PayMetric Labs take-home calculator on this page for an exact breakdown by tax band.

5

What experience level earns the most as a Data Engineer in the Philippines?

Principal/Lead-level Data Engineers in the Philippines earn the most, with a median of ₱161K, compared to ₱50K at entry level. Seniority is the strongest single driver of pay in this role.

6

How reliable is this Data Engineer salary benchmark?

This benchmark is derived from verified market compensation data and is rated High Confidence. High Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.

7

Is Data Engineer pay increasing?

An indicative year-over-year signal of +11.5% is available from the latest market research for this role. This figure is directional market research rather than a matched prior-year observation in our own dataset.

8

What should employers and candidates take from this benchmark?

Candidates should compare offers against the ₱74K-₱83K middle-market band, while employers should treat ₱77K as the current market midpoint for this role.

Compare Data Engineer pay in another market

The same role has published benchmarks in these markets. Open each local page for its salary range, tax context, and city detail.

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