Pay by Role
Germany · Salary comparison

Data Engineer vs Machine Learning Engineer salary

In Germany, a data engineer earns about 90% more than a machine learning engineer $205,294 vs $108,008 per year.

Showing amounts in USD (USD default; source data is EUR). FX as of Mon, 13 Jul 2026 00:02:31 +0000. Convert currencies

Pays more
Technology
Data Engineer
$205,294/yr
Monthly
$17,108
Hourly
$99
Range
$131,388$295,624
10-yr outlook
+30%
Technology
Machine Learning Engineer
$108,008/yr
Monthly
$9,010
Hourly
$52
Range
$64,211$161,498
10-yr outlook
+40%

Pay range, side by side

PercentileData EngineerMachine Learning Engineer
Entry (10th)$131,388$64,211
25th$168,341$86,110
Median$205,294$108,008
75th$250,459$134,696
Senior (90th)$295,624$161,498

National Germany figures in EUR. Individual pay varies with experience, employer, and location.

More Technology comparisons

Frequently asked questions

Does a data engineer or machine learning engineer earn more in Germany?
A data engineer earns more, at about 180.000 € per year vs 94.700 € for a machine learning engineer — roughly 90% (85.300 €) more.
What is the salary range for these roles in Germany?
A data engineer typically earns 115.200 €–259.200 €, while a machine learning engineer earns 56.300 €–141.600 € per year.
How much do these jobs pay per month in Germany?
On a monthly basis before tax, a data engineer averages about 15.000 € and a machine learning engineer about 7.900 €.
How do entry-level salaries compare?
At the 10th percentile in Germany, a data engineer earns about 115.200 € while a machine learning engineer earns about 56.300 € per year.
How do senior-level salaries compare?
At the 90th percentile in Germany, a data engineer earns about 259.200 € while a machine learning engineer earns about 141.600 € per year.
Are data engineer and machine learning engineer similar careers?
Both roles sit in the Technology category on Pay by Role, which is why we compare them head-to-head. Day-to-day work still differs — review each job page for skills and outlook.