Automation index
How much of a Marine engineer’s job can AI already do?
An engine log comes earlier. The engine lasting the crossing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Marine engineer
21%
AI can already do 21% of this job.
#422 / 623
View rankingMarine engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Rounds, parameters and the engine log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Breakdown, the sea and repairing with what you have.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Fuel, oils and the port change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Watch, alarms and the one who does not sleep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Survey, class and not dressing the log.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Last the crossing, and not silencing the alarm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- engine rounds
- engine log
- breakdowns at sea
- watches
- class
- fuels
- engine-room alarms
- repair on passage
Sources for this job· O*NET 53-5031.00· ESCO/ISCO 3151
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511