101 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 | 42.6% | +10.4pp | 43 |
| kafka | 14.9% | +4.7pp | 15 |
| airflow | 12.9% | +3.9pp | 13 |
| sql | 77.2% | +3.4pp | 78 |
| spark | 27.7% | +2.0pp | 28 |
| postgresql | 13.9% | +0.3pp | 14 |
| Technology | Share | Change | Postings |
|---|---|---|---|
| git | 9.9% | -8.0pp | 10 |
| machine-learning | 28.7% | -3.5pp | 29 |
| azure | 18.8% | -3.5pp | 19 |
| google-cloud | 11.9% | -2.3pp | 12 |
| llm | 9.9% | -1.1pp | 10 |
| python | 72.3% | -0.4pp | 73 |
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$8000, the median of 940 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (940 of 940, 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 | 78 | 77.2% | +0.0% | 0.0% |
| python | language | 73 | 72.3% | +3.1% | 0.0% |
| aws | cloud | 43 | 42.6% | +3.1% | 0.0% |
| machine-learning | ai | 29 | 28.7% | +12.5% | 0.0% |
| spark | framework | 28 | 27.7% | +3.1% | 0.0% |
| azure | cloud | 19 | 18.8% | -3.1% | 0.0% |
| kafka | tool | 15 | 14.9% | +6.2% | 0.0% |
| postgresql | database | 14 | 13.9% | -14.4% | 0.0% |
| airflow | tool | 13 | 12.9% | -6.2% | 0.0% |
| google-cloud | cloud | 12 | 11.9% | -9.4% | 0.0% |
| git | tool | 10 | 9.9% | -2.5% | 0.0% |
| llm | ai | 10 | 9.9% | +18.8% | 0.0% |
| docker | tool | 9 | 8.9% | -6.2% | 0.0% |
| generative-ai | ai | 9 | 8.9% | +12.5% | 0.0% |
| deep-learning | ai | 7 | 6.9% | +34.4% | 0.0% |
| hadoop | tool | 7 | 6.9% | -14.4% | 0.0% |
| mongodb | database | 7 | 6.9% | -12.5% | 0.0% |
| pytorch | ai | 7 | 6.9% | +9.4% | 0.0% |
| rag | ai | 7 | 6.9% | +18.8% | 0.0% |
| snowflake | database | 7 | 6.9% | -6.2% | 0.0% |
| tensorflow | ai | 7 | 6.9% | +6.2% | 0.0% |
| terraform | tool | 7 | 6.9% | +9.4% | 0.0% |
| mssql | database | 6 | 5.9% | -3.1% | 0.0% |
| mysql | database | 6 | 5.9% | -6.2% | 0.0% |
| shell | language | 6 | 5.9% | +0.0% | 0.0% |
| dbt | tool | 5 | 5.0% | +6.2% | 0.0% |
| java | language | 5 | 5.0% | +3.1% | 0.0% |
| cpp | language | 4 | 4.0% | +34.4% | 0.0% |
| javascript | language | 4 | 4.0% | +12.5% | 0.0% |
| linux | tool | 4 | 4.0% | -9.4% | 0.0% |
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 940 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 |
|---|---|---|---|
| Data Pipeline | 237 | 25.2% | 14.3% |
| Computer Science | 236 | 25.1% | 1.7% |
| Data Engineering | 213 | 22.7% | 18.3% |
| Python | 205 | 21.8% | 12.2% |
| SQL | 196 | 20.9% | 14.8% |
| Data Science | 185 | 19.7% | 7.0% |
| Data Governance | 153 | 16.3% | 1.3% |
| AWS | 140 | 14.9% | 19.3% |
| Machine Learning | 137 | 14.6% | 3.6% |
| Design | 118 | 12.6% | 1.7% |
| Data Quality Assurance | 110 | 11.7% | 0.9% |
| Statistics | 108 | 11.5% | 1.9% |
| ETL | 100 | 10.6% | 17.0% |
| Data Modelling | 92 | 9.8% | 34.8% |
| Databricks | 92 | 9.8% | 26.1% |