Where a data engineer can go next
6 destinations recorded, ranked by how much of the target role a data engineer already meets. The closer to the top of Table 1, the less there is to learn.
Data engineers develop the architecture needed to process, manage, and store large amounts of data which will be used by data scientists for analysis. They design the infrastructure and maintain data pipelines and warehouses to leverage data for strategic advantage.
- Highest coverage recorded
- 22%
- Destinations
- 6each with a full record
- Within reach
- 0difficulty under 55
- Skills on file
- 28required or supplementary
Table 2 · A bigger jump
Possible, but expect real retraining rather than a sideways step.
- IoT developer 22% covered · difficulty 72.8
- data analyst 21% covered · difficulty 84.7
- ICT information and knowledge manager 18% covered · difficulty 83.5
- data quality specialist 17% covered · difficulty 81.7
- data entry clerk 17% covered · difficulty 77
- chief data officer 16% covered · difficulty 85.2
Look up another occupation
data engineer is filed under Professionals, ISCO major group 2. The full index lists all ten groups.
How these figures were compiled
Coverage is the share of the target role’s weighted skill requirement a data engineer already meets, counting required skills in full and supplementary ones at 0.35. It is directional: the figure for the reverse move differs. Every entry above opens the full comparison for that move: what carries over, what is missing, and where to start. The full method.