27 enriched SWE postings in 2026-W37. Share = postings mentioning the technology ÷ that number — postings still awaiting enrichment are excluded from the denominator, so a processing backlog cannot depress every share at once. The chart shows the top 15; the table in section 3 lists the top 30.
Nothing rose this week.
| Technology | Share | Change | Postings |
|---|---|---|---|
| sql | 51.9% | -18.2pp | 14 |
| python | 55.6% | -14.9pp | 15 |
Change is in percentage points of share, not relative percent: a technology going from 1 to 3 postings would otherwise read as +200% and top the board. Boards consider every technology above the bar, not only the 30 the table below shows.
Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$5500, the median of 269 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (269 of 269, in any unit); the rest hide it, and no figure here describes them. Entry-friendly is computed over the same 90-day window. Premium mixes seniority in (senior roles name more infrastructure); pick an experience band above to compare within one. Entry-friendly = the share of postings mentioning the technology that ask for at most 2 years' experience, or are Intern/Junior roles with no stated requirement. The table lists the top 30 technologies by postings.
| Technology | Kind | Postings | Share | Salary premium | Entry-friendly |
|---|---|---|---|---|---|
| python | language | 15 | 55.6% | +9.1% | 100.0% |
| sql | language | 14 | 51.9% | +9.1% | 100.0% |
| machine-learning | ai | 9 | 33.3% | +13.6% | 100.0% |
| aws | cloud | 6 | 22.2% | +0.0% | 100.0% |
| azure | cloud | 4 | 14.8% | -4.5% | 100.0% |
| llm | ai | 3 | 11.1% | +9.1% | 100.0% |
| mssql | database | 3 | 11.1% | +0.0% | 100.0% |
| postgresql | database | 3 | 11.1% | +9.1% | 100.0% |
| spark | framework | 3 | 11.1% | +13.6% | 100.0% |
| deep-learning | ai | 2 | 7.4% | +22.7% | 100.0% |
| google-cloud | cloud | 2 | 7.4% | +9.1% | 100.0% |
| hadoop | tool | 2 | 7.4% | +9.1% | 100.0% |
| openai | ai | 2 | 7.4% | —(n=6) | 100.0% |
| rag | ai | 2 | 7.4% | —(n=15) | 100.0% |
| angular | framework | 1 | 3.7% | —(n=7) | 100.0% |
| cpp | language | 1 | 3.7% | —(n=11) | 100.0% |
| docker | tool | 1 | 3.7% | —(n=19) | 100.0% |
| generative-ai | ai | 1 | 3.7% | +14.5% | 100.0% |
| git | tool | 1 | 3.7% | +16.4% | 100.0% |
| kubernetes | tool | 1 | 3.7% | —(n=19) | 100.0% |
| nlp | ai | 1 | 3.7% | —(n=12) | 100.0% |
| pytorch | ai | 1 | 3.7% | +9.1% | 100.0% |
| scala | language | 1 | 3.7% | +77.3% | 100.0% |
| shell | language | 1 | 3.7% | —(n=9) | 100.0% |
| tensorflow | ai | 1 | 3.7% | +9.1% | 100.0% |
These are MyCareersFuture's own skill tags — the competencies the employer filled in on the form, over the trailing 90 days (2026-06-23 → 2026-09-20) across 269 postings. They are not the technology ranking above: languages and frameworks appear only in the free-text description, which is why this system reads it separately. "Must-have" is the share of postings listing the tag that marked it essential rather than desirable — a tag that is everywhere but rarely essential is table stakes, one that is usually essential is a filter someone is applying.
| Skill | Postings | Share | Marked must-have |
|---|---|---|---|
| Python | 91 | 33.8% | 9.9% |
| SQL | 78 | 29.0% | 11.5% |
| Computer Science | 70 | 26.0% | 0.0% |
| Statistics | 63 | 23.4% | 1.6% |
| Machine Learning | 62 | 23.0% | 1.6% |
| Data Science | 54 | 20.1% | 1.9% |
| Data Analysis | 53 | 19.7% | 13.2% |
| Data Engineering | 45 | 16.7% | 8.9% |
| Power BI | 41 | 15.2% | 4.9% |
| Data Pipeline | 37 | 13.8% | 8.1% |
| Liaising with cross functional teams | 36 | 13.4% | 5.6% |
| Artificial Intelligence | 35 | 13.0% | 11.4% |
| Tableau | 31 | 11.5% | 6.5% |
| Data Modelling | 30 | 11.2% | 0.0% |
| Mathematics | 29 | 10.8% | 0.0% |