Documentation Index
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The Mercado España tab is the market overview layer of the TinderJob dashboard. It answers the three most fundamental questions a DataTalent consultant faces when designing a reskilling program: which tech profiles are actually being hired right now in Spain, which specific technical skills appear most frequently in those job postings, and how are companies structuring the physical arrangement of work? All three charts are built from the full Tecnoempleo dataset — not the sidebar-filtered view — so they always reflect the complete scraped market, giving consultants a reliable baseline independent of any active filter.
Chart 1 — Demand by Profile (Horizontal Bar)
The first chart renders a horizontal bar chart of offer counts per busqueda search term, sorted ascending so the highest-demand profiles appear at the top of the y-axis. Each bar is colored along a continuous scale from light pink to Tinder red, with the count value displayed outside each bar.
X-axis: number of offers · Y-axis: search term / profile name
Top 5 profiles by offer count:
| Rank | Profile | Offers |
|---|
| 1 | Data Scientist | 84 |
| 2 | Programador | 76 |
| 2 | Soporte Técnico | 76 |
| 4 | Arquitecto TIC | 72 |
| 4 | Ciberseguridad | 72 |
Lowest demand: Big-data (11 offers) and dba (8 offers) represent the tail of the distribution. These profiles exist in the market but at a fraction of the volume of the top tiers.
Strategic implication for DataTalent: reskilling program investment should be weighted toward the top five profiles. A candidate retrained as a Data Scientist or full-stack Programador has a structurally larger addressable market than one specializing in database administration alone.
Chart 2 — Top 20 Skills (Horizontal Bar)
The second chart shows the 20 most frequently listed skills across all job offers, computed by splitting the skills column on commas, exploding the resulting series, and taking value_counts().head(20). Color scale and bar label format match Chart 1.
Top 5 skills by frequency:
| Rank | Skill | Offers |
|---|
| 1 | Python | 168 |
| 2 | Java | 159 |
| 3 | SQL | 96 |
| 4 | Angular | 61 |
| 5 | Azure | 58 |
The gap between the top three (Python, Java, SQL) and the rest is substantial — they appear in roughly double the number of offers compared to the 4th-place skill.
Business insight: any reskilling program must include Python, Java, and SQL as non-negotiable core modules, plus at least one cloud platform (Azure or AWS, both in the top 10). Angular’s presence at rank 4 confirms that full-stack web development remains one of the highest-volume hiring categories in the Spanish tech market.
Candidates who already hold SQL skills and want to maximize employability fastest should add Python next — it appears in 168 offers versus 159 for Java, and Python’s cross-domain applicability (data, backend, automation) compounds its value.
Chart 3 — Work Modality Distribution (Pie)
The third chart is a pie chart of the modalidad column, showing how all offers split across the four modality categories. Percentages and labels are rendered inside each slice.
| Modality | Offers | Share |
|---|
| No especificado | 459 | 40.0% |
| Híbrido | 405 | 35.3% |
| En Remoto | 200 | 17.4% |
| Presencial | 84 | 7.3% |
Key interpretation: among the 60% of offers that do specify a modality, the split breaks down as follows — hybrid: 59%, remote: 29%, in-person: 12%. This means 53% of offers with a defined modality offer flexible work (hybrid or fully remote), and only 7% of all offers require candidates to be physically present every day.
The 40% “No especificado” category is itself a data quality signal — many Spanish companies post offers without explicitly stating the modality, likely defaulting to hybrid or in-person. This should be treated as unknown rather than in-person.
Candidates do not need to be in a major city to access the Spanish tech market. Over half of defined-modality offers allow remote or hybrid work arrangements, meaning geographic location is far less of a barrier than traditional assumptions suggest.