Salaries in Australia2026 Salary Report

Data Migration Specialist salary in Australia.

As a specialized Data Migration Specialist, the primary focus revolves around modernizing business paradigms and maximizing efficiency. This domain relies heavily on continuous iterative improvement, tool alignment, and direct execution paths.

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$97,000Estimated annual average
$5,497Estimated monthly take-home
$30.31–$72.28Hourly equivalent range
27 Jul 2026Last benchmark update
Compensation overview

One role, four useful reference points.

Salary ranges reflect different experience levels. Actual offers can vary with company size, industry, location, contract type, specialized skills, benefits, equity, and negotiation.

High accuracy64 recent reports confirm this estimateUpdated 27 Jul 2026
Average salary
$97,000Annual benchmark
Junior
$57,900–$80,9000-2 years
Mid-level
$78,800–$117,4003-5 years
Senior
$120,600–$176,5006+ years

Earnings breakdown

Monthly take-homeEstimated after an average 32% tax rate
$5,497
Hourly equivalentBased on a standard 40-hour week
$30.31–$72.28
Potential annual bonusIllustrative 10–15% performance range
$9,700–$14,550

Planning reference

Monthly savings target33% illustrative allocation
$2,700
Retirement contribution13% illustrative allocation
$1,000
Housing budgetIllustrative 20% monthly ceiling
Up to $1,600
Emergency fundThree to six months of gross income
$24,250–$48,500

Healthcare infrastructure

State-supported healthcare contextCore healthcare access is generally supported through public systems and localized tax contributions. Coverage and supplemental costs vary.
Included in ≈ 32% tax model
Salary visualization

See the benchmark from three angles.

Downloadable charts show experience ranges, salary progression, and an illustrative monthly allocation. Select any chart to view it at full size.

Salary ranges by experience for Data Migration Specialist in Australia
Salary rangesEnlarge
Salary progression by experience for Data Migration Specialist in Australia
Experience growthEnlarge
Illustrative monthly salary allocation for Data Migration Specialist in Australia
Monthly allocationEnlarge
12-month trend

How the estimate has moved.

The estimated average changed by 10.2% over the displayed period, moving from $88,000 to $97,000.

PeriodAnnualHourly
Aug 2026$97,000$30–$72
Jul 2026$96,300$30–$72
Jun 2026$93,000$29–$69
May 2026$91,000$28–$68
Apr 2026$88,800$28–$66
Mar 2026$94,900$30–$71
Feb 2026$88,100$28–$66
Jan 2026$93,100$29–$69
Dec 2025$89,600$28–$67
Nov 2025$91,800$29–$68
Oct 2025$92,700$29–$69
Sep 2025$88,000$28–$66
Career profile

What shapes success in this role.

Education is only one signal. Skills, tools, collaboration habits, work environment, and continued learning often have equal influence on compensation and progression.

Education requirements

Master's degree or Bachelor's in Statistics, Data Science, Mathematics, or Computer Science

Training and development

Leadership development programs
Industry conference participation support
Specialized skill development workshops
Access to advanced technical training resources

Professional certifications

IBM Data Science ProfessionalSnowflake Certified Core Support

Core skills

Task PrioritizationAdaptabilityRemote CollaborationData Ingestion ArchitectureData Cleaning

Trending and emerging skills

AutomationDigital LiteracySaaS PlatformsBig Data PlatformsLLM Fine-tuningAI-Driven AnalyticsDecentralized Data AssetizationFeature StoresReal-time Analytics ProcessingDigital Workflows

Work specifics

Fully distributed model with outcome-based performance evaluation
Documentation-heavy alignment minimizing real-time meeting fatigue
Flexible allocation tracking with custom overlap for Asia-Pacific and IST timelines
Databricks
Apache Spark

Common and additional benefits

Remote Work Options
Flexible Hours
Home Office Allowance
High-end Hardware Budget
Learning & Development Stipend
Mental Health Support
Coworking Space Access
Internet Allowance
Market intelligence

Demand beyond the salary range.

Compensation is influenced by hiring pressure, growth, remote availability, industry demand, and the scarcity of relevant skills.

Demand

Very High

Current hiring-demand signal for this role across the tracked market.

Growth

25% annual growth

Estimated direction of role demand and compensation opportunity.

Remote work

Very High

Enhanced remote training and development programs utilizing interactive online learning platforms

Key industries

CybersecurityHealthcareArtificial IntelligenceData AnalyticsTechnologyTelecommunications
Cross-country pay scale

See how the same role changes by market.

These comparisons apply Jobicy’s country multipliers to the same role model. Differences reflect market context rather than currency conversion alone.

Questions answered

Frequently asked questions.

Quick answers about salary, hourly rates, skills, market outlook, and benefits for this role.

What is the average Data Migration Specialist salary in Australia?

The estimated average annual salary is $97,000. Junior roles are estimated at $57,900–$80,900, while senior roles are estimated at $120,600–$176,500.

What is the hourly rate for this role?

The estimated hourly equivalent is between $30.31 and $72.28 based on a standard full-time schedule. Contract rates may differ.

Which skills are most relevant?

Core skills include Task Prioritization, Adaptability, Remote Collaboration, Data Ingestion Architecture, Data Cleaning. Trending and emerging requirements include Automation, Digital Literacy, SaaS Platforms, Big Data Platforms, LLM Fine-tuning.

What is the market outlook?

Jobicy currently classifies demand as Very High, with a growth signal of 25% annual growth. Availability differs by industry, country, and employer.

Are these salary estimates guaranteed?

No. The figures are informational benchmarks based on market evidence and economic adjustments. Actual compensation depends on experience, skills, location, employer, contract type, benefits, and negotiation.

Methodology

How this estimate is prepared.

Jobicy combines multiple sources and exposes the assumptions so salary benchmarks can be used as context rather than mistaken for guaranteed compensation.

01

Market evidence

Public labor statistics, active job listings, compensation databases, labor-market research, and anonymous salary submissions.

02

Country adjustment

Role data is adjusted using currency, purchasing power, estimated tax conditions, and local economic indicators for Australia.

03

Range and review

Experience bands and historical trends are calculated, then refreshed as new market evidence becomes available.

Data sources and disclaimer

Sources include BLS, Eurostat, ILOSTAT, OECD, World Bank Open Data, public compensation databases, current job postings, and anonymous Jobicy reports. Salary and financial calculations are informational only and do not constitute financial, legal, or tax advice. Read the full methodology →

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