Automation index
How much of a Table official’s job can AI already do?
A scoresheet comes earlier. Clock, fouls and not wrecking the result do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Table official
22%
AI can already do 22% of this job.
#346 / 623
View rankingTable official
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 |
|---|---|---|---|
Sheet, clock and the protocol.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Fouls, the warning and the one who argues.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Timeout, the scoreboard and not jumping it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The referee, the table and not contradicting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The crowd, the shove and keeping calm.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
A clean result, and the sheet signed.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
- scoresheets
- clock
- fouls
- timeouts
- scoreboard
- the table
- protocol
- warnings
Sources for this job· O*NET 27-2023.00· ESCO/ISCO 3422
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