DE307: Collaboration with Data Analysts & Data Scientists

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SFIA Reference: TECH Level 4

Data Engineer (Grade 3)

Competency Description

Partners across teams to provide datasets optimised for analysis, reporting, or machine learning.

Learning Outcomes

  • Translate requirements into performant views.
  • Build data products for BI tools and model training.
  • Share best practice for accessing, querying, and interpreting data.

Evidence Requirements

Level 4:

  • Delivered a new dataset or view for Analysts or Scientists.
  • Explained data model choices in stakeholder sessions.

Level 5:

  • Led data enablement across a key programme or team.
  • Established patterns for reusable analytics views.

Suggested Learning Activities

  • Join a sprint with a BI or ML team.
  • Document user guides for datasets.
  • Create a templated feature store view.

Recommended Resources

  • KnowHow: Dataset Design for Power BI
  • Internal Data Product Catalogue
  • MLOps with Databricks (if applicable)

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