DE
Data Engineer
Build and industrialize Data Platforms or Data centric use cases
DS
Data Scientist
Develop and operationalize ML-based use cases within a broader picture and ecosystem
DA
Data Analyst
Ad-hoc analysis, reporting, dashboards and light data transformations / data modelling
FS
Full Stack
Microservices, API or end-to-end Web Applications
SRE
Site Reliability
Monitor, Automate and Manage infrastructures and applications
Cross-functionality is a valued principle — e.g. an Eng 3 may be evaluated across both DE and DA profiles with appropriate weighting.
On the **Product** side, expectations align with technical roles at lower levels; higher-level Product roles are reserved for consulting profiles only (to be reviewed).
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## Tech Skills Assessment & Values
✅ Confirmed
Nothing changes — candidate needs to climb the ladder normally.
⬇️ Downgrade → *
Ladder level stays the same but with a
*. Candidate waits for coach confirmation (no formal climbing). Coach and interviewer must explain clearly which points were not met and provide guidance.
Cannot downgrade without prior negative feedback over the 6-month coaching journey.
⬆️ Upgrade
New ladder level assigned and RAL adjusted if needed.
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