Automation index
How much of a Production engineer’s job can AI already do?
An OEE and a sequencer come earlier. Getting the shift out without stopping the line for nothing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Production engineer
25%
AI can already do 25% of this job.
#233 / 623
View rankingProduction 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 |
|---|---|---|---|
OEE, sequence and the shift plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Line, changeovers and the micro-stop.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Layout, times and the work standard.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Supervisors, unions and the shift that turns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
In-line quality and the batch that cannot ship.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Hit the plan, and not dressing the OEE.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- OEE
- sequence production
- changeovers
- layout
- work standards
- micro-stops
- shift plan
- in-line quality
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
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