Data Engineer vs Generative & Agentic AI Specialist: what energy employers ask for
As of 29 October 2026, Plutarch tracked 244 open Data Engineer postings and 42 open Generative & Agentic AI Specialist postings at energy employers.
Skills and tools
Share of the postings we could read in full that name each skill: 201 for Data Engineer, 28 for Generative & Agentic AI Specialist.
| Skill or tool | Data Engineer | Generative & Agentic AI Specialist |
|---|---|---|
| Python | 77% | 46% |
| SQL | 72% | not listed |
| LLMs | not listed | 64% |
| AI agents | not listed | 57% |
| Generative AI | not listed | 46% |
| CI/CD | 42% | 39% |
| Data warehouse or lakehouse | 42% | not listed |
| Azure | 41% | 36% |
| ETL / ELT pipelines | 39% | not listed |
| RAG | not listed | 39% |
| Databricks | 37% | not listed |
| Git | 32% | 36% |
| AWS | 34% | 32% |
| Spark | 34% | not listed |
| Machine learning | not listed | 32% |
| DevOps | 29% | not listed |
| Docker | not listed | 29% |
| NLP | not listed | 25% |
| Power BI | 23% | not listed |
| Kubernetes | not listed | 21% |
| PyTorch | not listed | 21% |
| Airflow | 20% | not listed |
| Snowflake | 20% | not listed |
| Agile / Scrum | 18% | not listed |
| API design | not listed | 18% |
Where the postings are
| Country | Data Engineer | Generative & Agentic AI Specialist |
|---|---|---|
| United States | 38% | 26% |
| India | 13% | 14% |
| Canada | not listed | 12% |
| France | not listed | 10% |
| United Kingdom | 8% | not listed |
| Singapore | not listed | 7% |
| Germany | 4% | not listed |
| Czechia | 2% | not listed |
How many postings state pay
- Data Engineer: 51 of 140 postings whose pay we could read (36%)
- Generative & Agentic AI Specialist: 7 of 22 postings whose pay we could read (32%)
Pay levels are not compared here: each role's figures come from different countries and currencies. They are on each role's own page. Pay disclosure tracks local pay-transparency law more closely than employer policy, so the two rates partly reflect where each role is advertised.
“Not listed” means the skill, credential or country is not among those shown on that role's own page, not that no posting names it. This compares what employers ask for in the two roles; it does not count how many people hold those skills or say that one role can do the other.
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