Analytics Engineer
Builds the data transformation layer: clean, tested, documented dbt models that turn raw data into a usable asset.
Why this hire matters.
The analytics engineer is the missing link between the data engineer (who moves data) and the analyst (who interprets it): they turn raw tables into reliable, versioned, tested models. Without one, every analyst rewrites their own transformation queries — diverging definitions, duplicated calculations, contradictory dashboards, and analytical debt that makes every new question slower to answer. With one, business logic is codified once, tested continuously, and the whole organization reasons on the same foundations. It's the best impact-to-cost hire of a data team in the making: they multiply every analyst's productivity and secure trust in the numbers — the precondition of any real data culture.
Key missions.
- Model data in the warehouse (dbt)
- Test and document transformations
- Define the semantic layer and reference metrics
- Optimize warehouse cost and performance
- Install best practices (CI, reviews, versioning)
- Collaborate with analysts and data engineers
- Guarantee data quality and freshness
Skills.
Technical skills
- Expert SQL and dimensional modeling
- dbt (tests, docs, macros)
- Cloud warehouses (BigQuery, Snowflake)
- Git and CI/CD
- Python basics
Expected qualities
- Engineering rigor
- Service mindset toward analysts
- Documentation
Common stack
Salaries 2025-2026
| Level | Experience | Annual gross base |
|---|---|---|
| Junior | 0-2 yrs | 45–58 k€ |
| Mid-level | 2-5 yrs | 55–75 k€ |
| Senior | 5-8 yrs | 75–95 k€ |
| Lead | 8+ yrs | 95–110 k€ |
Paris market ranges, 2025-2026.
Outside the Paris region, expect 10 to 20 % less.
Sources : Silkhom 2026 (moyenne 57 600 €) · École-IA 2026 · Michael Page 2026
Hiring this profile.
Typical background
Data analyst who leveled up into engineering, or a data engineer drawn to business modeling. The role standardized with the dbt ecosystem.
When to hire
When several analysts work without a shared modeling layer, or numbers diverge across dashboards — often Series A/B.
Career path
Senior → Lead Analytics Engineering → Head of Data / Data Platform.