Automation index
How much of a Waste technician’s job can AI already do?
A waste code comes earlier. The waste going where it should, not the next bin, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Waste technician
22%
AI can already do 22% of this job.
#388 / 623
View rankingWaste technician
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 |
|---|---|---|---|
Code, characterise and the paper.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Plant, the mix and the one you cannot.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Move, the haulier and the note.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inspection, the tip and not hiding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The producer, the saving and not diluting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Where it should, not next door.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- waste codes
- characterise waste
- transfer notes
- the tip
- mixing
- producers
- waste papers
- not dilute
Sources for this job· O*NET 19-4042.00· ESCO/ISCO 2143
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