Data development process
Data development process involves implementing data pipelines, products, services or platforms while ensuring they are secure, scalable, sustainable, reliable and meeting required standards.
Levels
- 1. Awareness
You can:
- monitor the operation of data solutions such as data pipelines and services
- identify and fix simple issues in data solutions
- 2. Working
You can:
- implement simple data solutions such as data pipelines, following established approaches and standards
- create repeatable, reliable and reusable data solutions
- 3. Practitioner
You can:
- lead the implementation of complex or large-scale data solutions
- apply appropriate technology and techniques to ensure data solutions are secure and scalable
- identify and implement continuous improvement to the operation and performance of data solutions
- 4. Expert
You can:
- establish cross-organisational data solutions that include all aspects of the data development life cycle
- define and promote good practices for creating repeatable, reliable and reusable data solutions
Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.
Closest ESCO skills
- establish data processes
- develop data processing applications
- data extraction, transformation and loading tools
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.
Role levels that expect this skill
| Role level | Role | Band | Expected level |
|---|---|---|---|
| Data engineer | Data engineer | 6 | Working |
| Senior data engineer | Data engineer | 7 | Practitioner |
| Lead data engineer | Data engineer | 8a | Expert |
| Head of data engineering | Data engineer | 8b | Expert |