Key facts at a glance
National median
A$141K/yr
Typical range A$137K–A$146K
Sydney median
A$150K/yr
Highest-paying city, +6% vs national
Seniority spread
+121%
A$103K junior to A$228K principal
Data engineers in Australia earn a national median of A$141K a year, with the middle half of the market between A$137K and A$146K. Pay has moved +10.7% year on year, and Sydney leads city pay at A$150K.
The headline band is tight, but that hides where the real variation lives: seniority. A junior data engineer benchmarks at A$103K, a principal or data architect at A$228K, a 121% spread that dwarfs the A$22K gap between the highest and lowest-paying capital. If you want to move your data engineering salary, level matters far more than postcode. Below, we cover what the role involves, how pay climbs from junior to principal/architect, who's hiring, and how the city picture actually breaks down.
See how a data engineer salary converts to take-home pay after tax, the Medicare Levy, and super.
Open the Australia Salary CalculatorWhat a data engineer actually does day to day
The core of the role is designing, building, and maintaining scalable data pipelines and infrastructure: the systems that move raw data from source systems into a form analysts, data scientists, and downstream applications can actually use. Day to day that means building and monitoring ETL/ELT pipelines, managing data warehouses and lakes, optimising queries and storage for cost and performance, and working closely with data analysts, data scientists, and software engineers who depend on the data being accurate, timely, and well-structured.
As data engineers progress, the work shifts from building individual pipelines to owning the architecture those pipelines run on. Senior and staff data engineers typically make platform-level decisions, choosing tooling, setting data quality and governance standards, and designing for scale across an entire organisation's data needs. At the Principal / Data Architect level, the role becomes almost entirely architectural and strategic, setting the technical direction for how a company's data infrastructure evolves.
Career ladder: data engineer pay by level in Australia
The step from mid-level to senior is where pay accelerates most, worth about A$39K, as the role moves from executing well-defined pipeline work to owning architecture decisions with organisation-wide impact. The figures below are the benchmark median for each level rather than a spread, so treat them as the centre of the market at that rung, not a floor or a ceiling.
| Level | Typical experience | Salary (AUD) |
|---|---|---|
| Junior Data Engineer | 0–2 yrs | A$103k |
| Data Engineer (mid) | 2–5 yrs | A$141k |
| Senior Data Engineer | 5–8 yrs | A$180k |
| Principal Data Engineer / Data Architect | 8+ yrs | A$228k |
Figures reflect base salary excluding super, and vary by employer, city, and sector; banking, government, and defence-adjacent data roles typically sit toward the top of each level.
Who's hiring data engineers in Australia
Banking and retail are two of the biggest sources of data engineering demand: Commonwealth Bank and NAB both run large internal data engineering teams supporting risk, fraud, and banking platforms, while Woolworths hires for retail and supply chain data infrastructure at scale.
Canva and Atlassian hire data engineers to support internal product analytics and data platforms, Telstra hires for telecommunications data infrastructure, and REA Group (Australia's largest property listings business) hires data engineers for property-market data products. Amazon also maintains a meaningful local data engineering presence across its Australian operations.
Data engineer salary by city: a flatter map than you'd expect
Sydney leads at A$150K, 6% above the national benchmark, with Melbourne close behind at A$146K. The surprise is third place: Perth sits at A$141K, exactly on the national benchmark and ahead of Brisbane's A$137K, driven by resources and utilities data platforms rather than the financial services work that lifts the eastern capitals. Adelaide rounds out the five at A$128K.
The practical point for anyone weighing a move: the entire Sydney-to-Adelaide gap is A$22K, or about 16%. That is a narrower city premium than software engineering carries (11% for Sydney against 6% here), so relocating purely for a data engineering pay bump buys less than the same move would in other tech disciplines. Sydney and Melbourne still offer the largest number of open roles and the broadest employer mix, which is a stronger argument for moving than the headline salary gap is.
Why data engineering out-pays software engineering by A$28K
At A$141K, the data engineer benchmark sits A$28K (25%) above the A$113K software engineer figure, and the premium holds at every rung of the ladder: A$103K against A$81K at junior level, A$180K against A$149K at senior, and A$228K against A$192K at principal. Two things drive that. First, the supply side: data engineering demands a hybrid of software engineering discipline and data modelling depth that fewer candidates carry, and it is a role most people arrive at laterally rather than out of a degree. Second, the demand side: the highest concentration of data engineering work sits in banking, insurance, and government, sectors that pay above market for engineers who can be trusted with regulated data. Pay is also moving faster, +10.7% year on year against +8.3% for software engineering.
See the full salary benchmark and your take-home
Compare data engineer pay by city and level on the live salary benchmark, then run your own offer through the take-home calculator.
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Frequently asked questions
What is the average data engineer salary in Australia in 2026?
The national median is A$141K a year, with the middle half of the market between A$137K and A$146K. Pay has moved +10.7% year on year, one of the faster movements across Australian tech roles. The headline band is tight, but seniority spreads pay dramatically: A$103K at junior level rises 121% to A$228K at principal or data architect level.
Which city pays data engineers the most in Australia?
Sydney leads at A$150K, a 6% premium over the national benchmark. Melbourne follows closely at A$146K, Perth sits level with the national figure at A$141K, Brisbane at A$137K, and Adelaide at A$128K. Notably, the Sydney premium for data engineering (6%) is smaller than the 11% Sydney premium on software engineering, so relocating for data engineering pay alone buys less than it does in other tech disciplines.
Why is the city gap smaller for data engineers than for software engineers?
Because data engineering demand is spread more evenly across Australia's capitals. Banking and insurance data platforms concentrate in Sydney and Melbourne, but resources and utilities data work sustains Perth (A$141K, exactly at the national benchmark), and public sector and health data programs support Brisbane and Adelaide. The result is a A$22K spread from Sydney to Adelaide, against A$25K for software engineering on a lower base.
How much more does a senior data engineer earn than a junior in Australia?
A junior data engineer (0-2 years) benchmarks at A$103K, while a senior data engineer (5-8 years) benchmarks at A$180K, roughly 75% more. The step from mid-level (A$141K) to senior is where pay accelerates most sharply, worth about A$39K, reflecting the shift from building pipelines to owning data architecture decisions.
Which companies hire the most data engineers in Australia?
Commonwealth Bank and NAB both run large internal data engineering functions supporting banking and risk platforms, while Woolworths hires data engineers for retail and supply chain data infrastructure. Canva and Atlassian hire data engineers to support product analytics and internal data platforms, Telstra and REA Group hire for telecommunications and property-market data respectively, and Amazon runs a substantial local data engineering presence as well.
What does a Principal Data Engineer or Data Architect earn in Australia?
A$228K at benchmark, the top rung of the data engineering ladder and 121% above the A$103K junior figure. That level typically sets data architecture standards and strategy across an entire organisation, owning platform-wide decisions like data governance, storage architecture, and pipeline tooling, rather than building pipelines directly. Staff-level data engineers sit between senior (A$180K) and principal, usually as the top hands-on technical authority within a single domain.
Is data engineering paid more than software engineering in Australia?
Yes, and the gap is substantial. At the national median, data engineering (A$141K) sits A$28K above software engineering (A$113K), a 25% premium. The gap holds at every rung: A$103K vs A$81K at junior level, A$180K vs A$149K at senior, and A$228K vs A$192K at principal. This isn't universal at every employer, but it reflects the specialised, infrastructure-heavy nature of data engineering work and its concentration in higher-paying sectors like banking and government.
What day rate does a contract data engineer get in Australia?
The benchmark contractor day rate is A$966/day, with a typical range of A$966 to A$1,242/day against a permanent median of A$141K. Entry-level contract rates start around A$720/day and lead or principal contractors reach roughly A$1,536/day. Compare day rates net-of-tax against a permanent offer, since contracting carries no paid leave, no employer super, and no notice protection.
How do I convert a data engineer salary offer into real take-home pay?
Enter the gross base salary into the Australia Salary Calculator to see income tax, the Medicare Levy, and superannuation applied, giving you an accurate per-pay-cycle take-home figure. This matters especially at data engineering pay levels, since a senior offer at A$180K crosses into the 37% marginal bracket above A$135K, so an extra A$10K of gross is worth considerably less in your pocket than the same A$10K at mid-level.
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