Skills required by data jobs in Europe
Pipelines, warehouses, analytics and machine learning. We track 1,389 live data roles right now, and the single most requested skill among them is Python, named as a requirement by 68% of the classified sample.
Most requested skills
Share of 1,187 classified listings that name each skill as a requirement — not merely mention it.
| # | Skill | Share of roles | Listings |
|---|---|---|---|
| 1 | Python | 68% | 805 |
| 2 | SQL | 39% | 463 |
| 3 | Machine Learning | 21% | 249 |
| 4 | PyTorch | 14% | 169 |
| 5 | AWS | 11% | 126 |
| 6 | GCP | 8% | 95 |
| 7 | dbt | 7% | 88 |
| 8 | Azure | 7% | 87 |
| 9 | AI | 7% | 83 |
| 10 | TensorFlow | 6% | 73 |
| 11 | Docker | 6% | 70 |
| 12 | Databricks | 5% | 64 |
| 13 | Snowflake | 5% | 57 |
| 14 | Kubernetes | 4% | 46 |
| 15 | Spark | 4% | 45 |
| 16 | CI/CD | 3% | 40 |
| 17 | PostgreSQL | 3% | 40 |
| 18 | Airflow | 3% | 39 |
| 19 | BigQuery | 3% | 39 |
| 20 | Pandas | 3% | 37 |
| 21 | scikit-learn | 3% | 37 |
| 22 | Data Science | 3% | 33 |
| 23 | MLOps | 3% | 33 |
| 24 | Deep Learning | 3% | 31 |
| 25 | Java | 3% | 31 |
How to read this
A share, not a ranking of importance
A skill sitting at 40% is required by two data roles in five. That does not make it four times more valuable than one at 10% — a niche requirement with few candidates can be worth more than a common one. What it does tell you is how many doors the skill opens.
Gaps are worth more than strengths
The useful question is not which of these you already have. It is which of the top few you do not — because that is the one quietly removing you from the largest number of shortlists.
Which of these are missing from your CV?
Upload it once and the same measurement runs against your own skills: which of the requirements above you already cover, which you do not, and what an applicant tracking system makes of the document before a person reads it. Free, no card.
Check my CV against theseOther role families
Or browse the live data openings these numbers come from.