Data Engineer Jobs in Energy: Demand, Pay & Skills
Part of Plutarch’s ongoing analysis of skill demand in energy hiring — last updated 5 October 2026, based on 90 tracked postings.
As of 5 October 2026, Plutarch tracked 90 unique open Data Engineer postings at energy employers. 17 postings disclosed annual pay, with a United States median of USD 155,000.
This is a mid-sized, senior-leaning market for data engineering talent in energy, concentrated heavily in the United States and Germany with smaller pools in Czechia, India and France. Titles split between a large senior-and-above cluster (covering senior, lead, principal, staff and manager-level roles) and a similarly large group of unspecified-level postings, while junior-track openings are scarce and no executive-level titles appear. A recurring theme across many postings is analytics engineering and platform-oriented data engineering rather than a single dominant specialization.
Open postings
Where
- United States · 31
- Germany · 9
- India · 8
- Czechia · 5
- France · 5
- Other or not stated · 32
Seniority
- Early career · 5
- Level not stated in title · 43
- Senior, lead, staff or manager · 42
Disclosed pay by country · annual
| Country | Lowest to highest employer midpoint | Median | Postings stating pay |
|---|---|---|---|
| United States | USD 96,000–208,000 | USD 155,000 | 17 of 29 |
Directional, not conclusive. Each figure is the midpoint of a salary range an employer disclosed in a public job posting, derived from public market sources and rounded to the nearest thousand. Samples are small, so a country appears only when at least 5 open postings disclose annual pay. At these sample sizes, do not compare one role’s median against another’s — the difference between them is smaller than the error on either.
How many employers state pay
- United States · pay stated in 17 of 29 postings we could read
- Germany · pay stated in 0 of 6 postings we could read
- India · pay stated in 0 of 6 postings we could read
- Czechia · pay stated in 0 of 1 posting we could read
- France · pay stated in 1 of 5 postings we could read
Counted from the same open postings as above, leaving out postings whose text we could not read for pay. Pay disclosure tracks local pay-transparency law more closely than employer policy, so a low rate is not evidence that employers here pay less.
Who is hiring
| Employer | Open postings |
|---|---|
| Octopus Energy | 5 |
| S&P Global | 5 |
| Siemens Energy | 5 |
| Enverus | 4 |
| E.ON | 3 |
| ExxonMobil | 3 |
| TotalEnergies | 3 |
| Vattenfall | 3 |
| 1KOMMA5° | 2 |
| Axpo | 2 |
| Chevron | 2 |
| Constellation Energy | 2 |
| Other employers | 51 |
How these roles are titled
The titles employers use for this role, most repeated first. Titles shown without a count appeared once.
- Data Engineer · 15 postings
- Senior Data Engineer · 11 postings
- Data Platform Engineer · 4 postings
- Lead Data Engineer · 4 postings
- Staff Data Engineer · 4 postings
- Senior Analytics Engineer · 3 postings
- Analytics Engineer · 2 postings
- Specialist Data Engineer · 2 postings
- (Senior) Customer Data Engineer
- 2027 Summer IT Data Engineering Intern (Remote)
- Analytics Engineer - Cost Modelling
- Analytics Engineering Lead
- Azure Infrastructure & Data Engineer
- Big Data Engineer Lead
- Data & Analytics Engineer Junior (Prácticas)
What employers ask for
Skills and tools named in the text of 63 open postings we could read in full, most named first.
| Skill or tool | Postings naming it | Employers |
|---|---|---|
| Python | 50 of 63 | 31 |
| SQL | 49 of 63 | 33 |
| Databricks | 32 of 63 | 21 |
| Data warehouse or lakehouse | 29 of 63 | 23 |
| AWS | 26 of 63 | 17 |
| Azure | 25 of 63 | 18 |
| ETL / ELT pipelines | 24 of 63 | 19 |
| Spark | 24 of 63 | 19 |
| CI/CD | 23 of 63 | 17 |
| DevOps | 23 of 63 | 16 |
| Airflow | 22 of 63 | 14 |
| Snowflake | 19 of 63 | 14 |
| Git | 18 of 63 | 12 |
| dbt | 16 of 63 | 12 |
| Machine learning | 13 of 63 | 9 |
A skill counts when the posting names it anywhere — requirements, role description or the employer’s own introduction. A skill is shown only when at least 3 postings from at least two employers name it. Postings whose full text we did not read are left out of these counts rather than counted as asking for nothing.
Patterns in the job titles
- Data platform engineering, including platform-focused and data-platform-specific roles
- Data engineering management and leadership, seen in both manager and engineering-manager titles
- Hardware systems R&D data engineering, appearing at senior and staff levels
Data Engineer job description template
An outline to start from. The requirements are the skills energy employers most often name for this role, with how often each is named — not a model's guess.
Already have a draft? Paste it for a hiring-feasibility brief and a sharpened version. For the credential line, see which credentials the law requires, and where.
What the postings suggest about filling this role
The heavy tilt toward senior and above titles, paired with very few junior or entry-level openings, points to a market competing mainly for experienced practitioners rather than building a pipeline. This raises relative difficulty for employers seeking senior analytics or platform engineering talent, especially where demand concentrates in a small number of countries.
Read from employer demand only. These sources show what employers advertise, not how many people are available to hire, so this is a reading of the vacancies rather than a measure of scarcity.
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Check your role — two briefs freeCounts are unique open postings seen in the last three weeks, taken from the named employers’ own published job postings; a vacancy posted in several places is counted once. Employers are named because they published these postings publicly themselves. The written summary is AI-generated from those postings and contains no figures and no employer names. Posting figures are direct counts; pay figures are the median and range of the salaries those employers disclosed. Terms of use.