Data Engineer Salary in Australia

Data Engineer roles in Australia delivers excellent professional prospects in Australia. This position combines practical skills with innovative approaches, providing competitive salaries. The role supports continuous learning and career advancement opportunities.

Tax rate: Approx. 32%
Demand: Stable
Last updated: 17 Feb 2025

Annual Salary
Education
Skills
Specifics
Benefits
Market
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FAQ

Role overview

Build and maintain data pipelines and infrastructure.

Annual Salary – 2025

Currency

· Upd: 17 Feb 2025

Average Salary $114,700

Junior Level

$68,820 - $91,760

Experience: 0-2 years

Middle Level

$91,760 - $137,640

Experience: 3-5 years

Senior Level

$137,640 - $206,460

Experience: 6+ years

Estimated Take-Home Pay

Expected monthly income after standard tax deductions (approx. 32%)

$6,500

Hourly Rate

$46.87 - $63.42 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. $8,029 per year

Annual Bonus Range

Typical performance-based annual bonus range

$11,470 - $17,205

Equity Bonus

Company equity compensation based on local market standards and company policy

Up to $11,470

Total Housing Budget

Recommended monthly spending on rent/mortgage and utilities

Up to $1,900

Retirement Savings Target

Recommended monthly retirement account contribution

$1,400

Recommended Emergency Fund

Financial safety net for unexpected expenses and life events

$28,675 - 57,350

Monthly Savings Targets

Recommended amount to set aside each month for your financial security and future goals

Approx. $2,900

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Education Requirements

Bachelor's in Computer Science or related field

Professional Certifications

Google Data Engineer Azure Data Engineer

Training & Development

Comprehensive onboarding program with mentorship opportunities
Regular technical workshops and skill development sessions
Industry conference participation support
Regular code reviews and feedback sessions

Required Skills

Core Skills

Python SQL ETL Data Warehousing

Trending Skills

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

Market Trends

Demand

Stable

Growth Rate

20% annual growth

Remote Work

Availability: High

Trend: Integration of virtual reality and augmented reality tools for remote collaboration and training

Job Platforms

Jobicy Wellfound Indeed AngelList Talent Robert Half ZipRecruiter

Key Industries

Artificial Intelligence IoT Digital Marketing Clean Tech Automotive Tech Telecommunications FinTech Gaming Industry

Similar Positions

Other positions similar to Data Engineer:

Software Developer Data Scientist Security Engineer AI Engineer Quality Assurance Engineer Systems Engineer Network Engineer Technical Support Engineer Automation Engineer Site Reliability Engineer Solutions Architect Data Visualization Specialist Data Governance Manager AI Prompt Engineer Business Intelligence Analyst

Cross-Country Pay Scale

Explore Data Engineer salaries worldwide. Below you'll find a comparison of average annual compensation in different countries relative to the base rate in Australia ($114,700).

Frequently Asked Questions

What is the average Data Engineer salary in Australia?

The average salary for a Data Engineer in Australia is $114,700 per year. Entry-level positions (Junior Level) start at $68,820 - $91,760, while experienced professionals (Senior Level) can earn up to $137,640 - $206,460.

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 Artificial Intelligence, IoT, Digital Marketing, Clean Tech, Automotive Tech, Telecommunications, FinTech, Gaming Industry.

What benefits are typically offered to Data Engineers in Australia?

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 Australia?

Based on a standard 40-hour work week, Data Engineers in Australia typically earn between $46.87 and $63.42 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:

U.S. Bureau of Labor Statistics - Official employment statistics
Eurostat - European Union labor market data
ILOSTAT - The leading source of labour statistics
Glassdoor - Company salary reports
Levels.fyi - Tech industry compensation data
Indeed - Job market analysis

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.

Currency rates updated: Feb 24, 2025, 00:02 UTC

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