A shortlist typically within 72 hours, usually contributing inside two weeks, and 30-day replacement support if the fit is wrong (terms in your agreement).
Shortlist typically in 72 hours · 30-day replacement support · Month-to-month
Power BI spreads fast inside a business. Someone builds a useful report, others copy it, and within a year there are dozens of reports, each with its own data model and its own definition of revenue. Refreshes fail overnight, measures are slow, and leadership meetings start with arguments about whose number is right.
A senior Power BI developer fixes the foundation: shared semantic models with clear star schemas, DAX that performs, and a workspace setup that keeps one version of the truth.
Star schemas, relationships and model size kept in check.
Measures that are correct, readable and fast.
Clean, foldable transformations close to the source.
Clear layouts focused on decisions, with accessible visuals.
Row-level and object-level security set up properly.
Workspaces, deployment pipelines, certified datasets and Fabric.
Conflicting numbers. When every report has its own model, nobody trusts any of them.
Slow dashboards. Flat tables, bi-directional relationships and heavy DAX make reports crawl.
Capacity and licence waste. Duplicate datasets and inefficient refreshes consume Premium or Fabric capacity you are paying for.
Every engineer we put forward has at least five years of hands-on experience. Within that, here is how the levels differ.
Senior Developer (5–8 years). Builds star-schema models, performant DAX, Power Query transformations and reports designed for decisions. Comfortable with row-level security and deployment pipelines.
BI Lead (8+ years). Owns the semantic layer, workspace and capacity governance, Fabric adoption, data source strategy and standards for report builders.
Model clean-ups. Replacing many duplicated datasets with a few shared, certified semantic models
Performance tuning. DAX optimisation, model design fixes and incremental refresh
Executive dashboards. Clear reports built around the decisions leaders make
Fabric and governance. Workspaces, deployment pipelines, security and moving to Microsoft Fabric where it helps
Week one. They review workspaces, datasets, refresh schedules and the measures people argue about.
Weeks two and three. First improvements: a cleaned-up model for one area, faster measures and a fixed refresh.
Week four. A written plan to consolidate models and set governance, ranked by impact.
Building visuals first. The model decides speed and accuracy. Visuals come last.
One flat table. Star schemas are faster and easier to maintain than wide flat tables.
No governance. Without certified datasets and clear workspaces, report sprawl returns quickly.
Rates depend on seniority, scope and engagement length. See the cost guide for market ranges, or tell us the role and we will give you a firm number.
Tell us the role and we will typically send a shortlist within 72 hours.
Tell Us the RoleTell us the role. Three to five profiles, typically within 72 hours.