programmatic
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Engineering partners

Hire Power BI developers

Semantic models and Power BI reporting. Define the responsibilities, review relevant experience and bring a partner into your team with a clear first assignment.

Discuss your team needsExplore the engagement

Meet relevant engineering partners

Start with a conversation about the work.

Review the individual's relevant experience and discuss your scope together. Availability, responsibilities and working hours are confirmed for each engagement.

Portrait of Zain Haider

Zain Haider

Data Analytics Specialist · Business Intelligence & Data Pipelines

Zain's focus is enterprise data intelligence, interactive business dashboarding, and cloud data warehouse modeling. Discuss your performance tracking metrics, complex data pipeline aggregation workflows, cross-functional reporting structures, or executive analytical needs, then collaborate with Zain to convert raw information assets into actionable business growth engine pipelines.

  • Tableau Analytics
  • Power BI Dashboards
  • Snowflake Data Warehousing
  • Business Intelligence
Discuss fit ↗View LinkedIn ↗

Experience shown belongs to the individual. Programmatic client results are documented separately.

Inside the delivery

An example first assignment

Deliver an agreed metric and report with source reconciliation and role-based access testing. Use the following checkpoints to discuss scope and review the contribution.

Reference approachAdapted during discovery
  1. 01

    Agree the business metric

    Define the calculation, data grain and audience before building the visual.

    Output

    An approved metric specification

  2. 02

    Build the semantic model

    Set up relationships and DAX measures around the agreed definitions.

    Output

    A usable reporting model

  3. 03

    Reconcile values and access

    Compare report results with source records and test row-level permissions.

    Output

    Metric and access evidence

  4. 04

    Review report usability

    Check filters, interpretation and refresh behavior with intended users.

    Output

    A validated Power BI report

Controls across the workflow

  • An approved metric specification
  • Metric and access evidence

Decisions that shape the scope

What evidence should the partner explain?
Semantic models and Power BI reporting. Review DAX context, model grain and row-level access. Discuss relevant work in your application context.
What context is needed before starting?
A role brief and architecture context for Power BI modeling, DAX and report usability. Confirm dependencies and the person responsible for acceptance.

Before you commit

Is this the right engagement?

Semantic models and Power BI reporting. Review DAX context, model grain and row-level access.

What we need from you
A role brief and architecture context for Power BI modeling, DAX and report usability.
How you accept the work
Deliver an agreed metric and report with source reconciliation and role-based access testing.
Scope & alternatives
This role extends your team. Agree responsibilities, partner availability and working hours in the proposal. For end-to-end project ownership, explore the related service below.

Capabilities

Define the role around the assignment

Use these discussion areas to scope and evaluate the proposed contribution.

01

Semantic models and Power BI reporting

Scope the contribution around Power BI modeling, DAX and report usability.

02

Technical discussion and review

Semantic models and Power BI reporting. Review DAX context, model grain and row-level access.

03

A practical first milestone

Deliver an agreed metric and report with source reconciliation and role-based access testing.

Frequently asked questions

Before extending your team

01

What should we evaluate when hiring Power BI developers?

Focus on DAX context, model grain and row-level access. Ask for a walkthrough of relevant work and the reasoning behind technical choices rather than relying only on a list of tools.

02

What could the first assignment look like?

Deliver an agreed metric and report with source reconciliation and role-based access testing.

03

How is this different from a managed project?

The specialist contributes to your team's backlog and agreed review process. A managed project assigns delivery of a defined scope to Programmatic. Decide which model matches the ownership you need before discussing staffing.

04

Are the engineers immediately available?

Availability and working hours are confirmed for the proposed partner during scoping. We do not promise a start date until the role, access and engagement terms are agreed.

05

How do partners use AI tools?

Agree permitted tools and data handling during onboarding. AI may assist implementation, tests or documentation, but outputs for semantic models and Power BI reporting still require engineering review and validation.

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Start a conversation

Discuss your Power BI developers requirements

Share the responsibilities, collaboration hours and first milestone so we can discuss the appropriate contribution.

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