Automation index
How much of a Data engineer’s job can AI already do?
A pipeline and a diagram sketch. Keeping it up at 3 a.m., with PII and a four-hour job, does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data engineer
31%
AI can already do 31% of this job.
#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
IS WORK OVER?
Recycling-plant operator
19%
#517 / 623
View rankingRecycling-plant operator
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 |
|---|---|---|---|
Line, optical and the bale.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Cabin, the one that sneaks in and the glass.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Jam, the belt and stopping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Quality, the reject and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the lorry and not mixing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Sort for real, and a clean bale.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- recycling line
- bales
- sort cabin
- belts
- rejects
- glass
- optical sorters
- jams
Sources for this job· O*NET 51-9199.00· ESCO/ISCO 3132