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?
Varnisher
18%
#543 / 623
View rankingVarnisher
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 |
|---|---|---|---|
Colour cards, ranges and orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Sand, stain, apply and dry.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Booth, filters and dust.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Cabinetmaker, deadlines and touch-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Repairs in the home and on site.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not delivering a piece with orange peel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Colour cards, ranges and orders
- Sand, stain, apply and dry
- Booth, filters and dust
- Cabinetmaker, deadlines and touch-up
- Repairs in the home and on site
- Not delivering a piece with orange peel
- barnizador
- lacador
- varnisher
Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7522