Data & BI
Hire Tableau Developers
Tableau developers who design for the question being asked rather than for the gallery.
Tableau earns its place where analysts need to explore rather than read, and where the visual grammar of the tool genuinely helps someone find a pattern they were not looking for. Its weakness is the same as its strength - workbooks multiply, extracts drift, and nobody can say which version the board saw last quarter.
When hiring, ask about performance and about consolidation. What made a slow dashboard slow and how they proved it, how they reduced two hundred workbooks to twenty, and when they pushed logic back into the database rather than solving it with a table calculation. Developers with production experience answer in query plans and extract sizes. The rest show you a portfolio.
What these engineers do
- Data source design with proper relationships instead of blending as a workaround
- Level of detail expressions, table calculations and disciplined context filters
- Dashboard performance tuning using the performance recorder and query review
- Tableau Server and Tableau Cloud publishing, permissions and subscriptions
- Rationalising sprawling workbook estates and migrating legacy reports
Delivered AI-first
AI assistance is used to draft calculated fields and level of detail expressions, to translate SQL logic into Tableau calculations, and to document what an inherited workbook is actually doing before anyone changes it. Every generated calculation is validated against a source query, because Tableau will render a wrong number just as confidently as a right one. Review discipline is unchanged. The measurable effect is throughput per engineer, not fewer reviews.