For dashboards that stay fast once the data volume grows

Hire Power BI Developers

A Power BI report can look finished while the model underneath recalculates slowly, leaks access across departments, or stalls the moment data volume grows. These developers are tested on catching that exact gap. They are then placed to keep dashboards fast, secure and trusted as your data keeps growing.

  • Profiles typically within two business days
  • Replacement Assurance: If an engineer is not the right fit, a replacement from our own team starts within ten business days of your request, at no extra cost
  • You interview before placement if you want to
  • At least four hours a day inside your core working hours. Two hours plus a daily written handover for the US West Coast
  • 14-Day Risk-Free Trial: For your first engineer on a time-and-materials engagement. Up to 14 calendar days or 80 logged working hours, whichever comes first. End within the trial and pay nothing for trial hours. Continue beyond it and those hours are billed at the agreed rate. Unpaid trial work remains ours if you stop
Get MatchedBook a Call
Fast at real data volume, not a sampleReplacement is our cost, not yoursAI augmented, human governedEvidence before estimatesYour IP from day oneOne accountable owner per engagementFounded in 2011. Part of the Vinove Group500+ full-time engineers, as of September 2026NASSCOM member
Watch · the 90-second brief

How we evaluate a Power BI developer

The tasks, the signals and the onboarding, walked through by the people who run them.

90 secWatch without filling in a form.
Developers reviewing a Power BI data model together.90 secSample frame · video pending

01Published, not promised

The assessment behind every developer we send.

The Power BI bar is published, not assumed: five competencies, the exact task behind each, and the shortcut that ends a candidacy. Most interviews ask about visual formatting. This one asks whether the model survives a year of real growth.

What we listen forWhether they diagnose the calculation engine, not just rewrite the formula.

The task we set

A DAX measure that worked fine on a small dataset now takes eleven seconds to render on a full year of data. Diagnose the slowdown.

What strong sounds like
Traces the slowdown to unnecessary context transition or row-by-row iteration and rewrites the measure to use the engine's native aggregation path.
What gives us pause
Adds a manual index column or a workaround filter without identifying why the calculation engine is iterating row by row.
Core

DAX · Power Query · Tabular Editor

Modeling

Star Schema Design · Power BI Desktop · DAX Studio

Governance

Row-Level Security · Power BI Service · Deployment Pipelines

Performance

Incremental Refresh · Aggregations · Query Diagnostics

02Who you actually meet

The bench, priced by seniority.

Three seniority tiers, priced honestly, and the engineers who fill each one today. Real names and photos take their place as soon as we can share them, and the standard stays exactly the same.

Engineer

Features scoped tightly enough to ship inside your review bar, every time.

The right first hire when your seniors already set the standard.

$1,900–2,500per month

Senior

The hard module nobody else wants to own, taken end to end.

Ownership of a surface, without adding a manager to your headcount.

$2,700–3,400per month

Lead

The workstream's decisions, made daily, so nothing waits on a meeting.

One accountable voice for a pod or initiative that can't afford to drift.

$3,700–4,700per month

  • Power BI developer

    2 yrs · US East overlap

    Traced a slow DAX measure to unnecessary context transition and rebuilt it around the engine's native path

    • DAX
    • Power Query
    • Tabular Editor

  • Senior Power BI developer

    5 yrs · UK + EU hours

    Rebuilt a flat-table report as a proper star schema after every visual started taking seconds to load

    • Star Schema Design
    • Incremental Refresh
    • DAX Studio

  • Lead Power BI architect

    8 yrs · EU + US split

    Owns the row-level security standard across a reporting estate shared by a dozen regional teams

    • Architecture
    • Row-Level Security
    • Deployment Pipelines

Indicative ranges, representative profiles. Exact figures and named engineers arrive with your shortlist.

Weighing this against a freelancer, a direct hire or a marketplace? See the honest comparison

03From stated problem to first change

Four steps, each closing on evidence.

This sequence is built around your actual reporting estate, not a feature checklist. Stopping at any point along the way owes us nothing.

  1. Define the reporting problem

    We map where your dashboards are actually slow, insecure or simply ignored. The brief names that specific gap, not a list of Power BI features to know.

    A brief your stakeholders sign

  2. Match against your data model

    Candidates are screened against your actual data volume, source systems and governance rules. Three developers who understand your model beat thirty who list DAX on a CV.

    Three fits, not thirty CVs

  3. Assess on the real tasks

    Your team can watch the DAX diagnosis and security design exercises directly. What shows up is modelling judgement, not familiarity with a specific visual gallery.

    Evaluation you can watch

  4. Onboard inside your workspace

    Access, governance rules and a first bounded model improvement shipped for real. Continuity cover keeps a departure from turning into a broken report nobody can fix.

    A working dashboard in week one

04Evidence and proof

Developers who made a slow dashboard fast, not just prettier.

Power BI proof is a model that survived real data growth, not a screenshot that looked sharp on launch day. Every record here waits for written client approval before production.

Explore case studies
A Power BI dataset rebuilt around incremental refresh.
Pillar Learning · EdTech platform, US

A four-hour refresh that now finishes before the first stand-up.

Pillar Learning's nightly dataset refresh had grown to four hours as enrolment data scaled, and reports were already stale by the time staff opened them each morning. An embedded Power BI developer redesigned the model around incremental refresh so only new data recalculates.

Refresh time
Cut sharply
Stale morning reports
None, going forward
Sample · pending client approval
Portrait of a product VP discussing row-level security design.

He rebuilt our regional security rule so a new region no longer means a duplicated report.

Anika RaoVP Product, Koru Health
Sample · pending client approval
Portrait of an operations director discussing DAX performance work.

She found the exact DAX pattern slowing our dashboard, not a rebuild that just hid the symptom.

Mei TanakaDirector of Operations, Tern
Sample · pending client approval

05Three shapes, one standard

Add a developer, a reporting pod, or a practice.

Most teams start with one developer strengthening an existing dashboard estate. Some need a pod that owns model design and governance end to end. Where the whole reporting estate matters more than one seat, we point you to the practice instead.

  • One named developer

    A single Power BI specialist inside your direction and your governance rules. The smallest commitment, and the natural first step.

    Team extension

  • A reporting pod

    A pod with its own lead that owns model design, security and refresh performance end to end. You set priorities while the pod carries delivery.

    Delivery pods

  • The practice, not the person

    Power BI work sits inside a wider data practice here, so when the whole reporting estate outweighs one seat, data and cloud engineering takes it on instead.

    Data & Cloud

06Straight answers

Asked before a Power BI hire is signed.

Not answered here?

Ask us directly Or browse every role
What does a Power BI developer actually do day to day?

Designs the data model as a proper star schema, writes DAX that performs at real volume, and builds row-level security that scales without duplicated reports. Most of the work happens before a single visual gets placed.

How is this different from hiring a data analyst?

A data analyst mostly interprets numbers a report already surfaces. This role builds the model, the calculation layer and the security underneath, so those numbers stay fast, correct and reach the right audience.

Can we run our own interviews as well?

Yes, the published tasks are built to be reused directly. Several clients now run the DAX diagnosis exercise themselves in later hiring rounds.

How fast can a Power BI developer start?

A shortlist arrives within days from a bench evaluated continuously. Real start speed after that depends on how quickly your workspace and data source access can be granted.

Who manages the engineer day to day?

Your stakeholders set report priorities and hold the governance standards. Employment sits with us, along with payroll and stepping in with a replacement if plans change.

What if the engineer is not the right fit?

Tell us within the first few weeks and we replace the developer at no cost. The next developer starts from a clear brief on exactly where the model fell short.

Do your Power BI developers use AI tools?

Yes, openly. AI can draft a first DAX formula or a Power Query step quickly, but the developer stays accountable for every model decision and security rule that reaches production.

How does pricing work for a hired Power BI developer?

The bands above set an honest range for this specialism, and the shortlist settles the exact figure once scope is agreed. Monthly billing, no placement fee, notice-period exit only.