26 enriched SWE postings in 2026-W44. 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.
| Technology | Share | Change | Postings |
|---|---|---|---|
| aws | 46.2% | +30.3pp | 12 |
| sql | 73.1% | +4.0pp | 19 |
| Technology | Share | Change | Postings |
|---|---|---|---|
| python | 65.4% | -7.6pp | 17 |
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$5400, the median of 302 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (302 of 302, 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 |
|---|---|---|---|---|---|
| sql | language | 19 | 73.1% | +1.9% | 100.0% |
| python | language | 17 | 65.4% | +1.9% | 100.0% |
| aws | cloud | 12 | 46.2% | -1.9% | 100.0% |
| airflow | tool | 6 | 23.1% | —(n=19) | 100.0% |
| azure | cloud | 6 | 23.1% | -7.4% | 100.0% |
| mysql | database | 6 | 23.1% | -14.8% | 100.0% |
| docker | tool | 5 | 19.2% | +11.1% | 100.0% |
| git | tool | 5 | 19.2% | +6.5% | 100.0% |
| postgresql | database | 5 | 19.2% | +11.1% | 100.0% |
| google-cloud | cloud | 4 | 15.4% | +11.1% | 100.0% |
| machine-learning | ai | 4 | 15.4% | +15.7% | 100.0% |
| pytorch | ai | 4 | 15.4% | +38.9% | 100.0% |
| scikit-learn | ai | 4 | 15.4% | +20.4% | 100.0% |
| spark | framework | 4 | 15.4% | +20.4% | 100.0% |
| hadoop | tool | 3 | 11.5% | +11.1% | 100.0% |
| java | language | 3 | 11.5% | +71.3% | 100.0% |
| linux | tool | 3 | 11.5% | —(n=18) | 100.0% |
| tensorflow | ai | 3 | 11.5% | +1.9% | 100.0% |
| deep-learning | ai | 2 | 7.7% | +25.0% | 100.0% |
| kafka | tool | 2 | 7.7% | —(n=19) | 100.0% |
| kubernetes | tool | 2 | 7.7% | —(n=16) | 100.0% |
| nlp | ai | 2 | 7.7% | +13.9% | 100.0% |
| scala | language | 2 | 7.7% | —(n=17) | 100.0% |
| xgboost | ai | 2 | 7.7% | —(n=9) | 100.0% |
| cpp | language | 1 | 3.8% | —(n=16) | 100.0% |
| dbt | tool | 1 | 3.8% | —(n=6) | 100.0% |
| generative-ai | ai | 1 | 3.8% | +20.4% | 100.0% |
| go | language | 1 | 3.8% | —(n=7) | 100.0% |
| grafana | tool | 1 | 3.8% | —(n=1) | 100.0% |
| javascript | language | 1 | 3.8% | —(n=8) | 100.0% |
These are MyCareersFuture's own skill tags — the competencies the employer filled in on the form, over the trailing 90 days (2026-08-08 → 2026-11-05) across 302 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 | 30.1% | 14.3% |
| SQL | 77 | 25.5% | 14.3% |
| Computer Science | 71 | 23.5% | 0.0% |
| Statistics | 58 | 19.2% | 0.0% |
| Data Engineering | 53 | 17.5% | 13.2% |
| Data Science | 53 | 17.5% | 5.7% |
| Data Analysis | 49 | 16.2% | 16.3% |
| Data Pipeline | 48 | 15.9% | 6.2% |
| Machine Learning | 48 | 15.9% | 0.0% |
| Artificial Intelligence | 38 | 12.6% | 10.5% |
| ETL | 36 | 11.9% | 16.7% |
| Power BI | 35 | 11.6% | 0.0% |
| Computer Engineering | 31 | 10.3% | 3.2% |
| Data Quality Assurance | 31 | 10.3% | 0.0% |
| Data Modelling | 30 | 9.9% | 0.0% |