Senior Power Bi Developer

Job Description Senior Power BI Developer

Client Industry: Mining

Role Overview

We are seeking an experienced Senior Power BI Developer to deliver endtoend

business intelligence solutions using Microsoft Power BI and the wider Microsoft

analytics ecosystem. The successful candidate will design and develop

highperformance dashboards, integrate Power BI with enterprise applications (Power

Apps, Power Automate, Databricks, Azure SQL), and challenge solution designs to

ensure optimal architecture and scalability.

This is a handson role requiring strong experience in BI solution design, data modelling,

visualization best practices, integration patterns, and collaboration with business

stakeholders.

Key Responsibilities

Power BI Development (EndtoEnd)

Deliver full lifecycle Power BI development including requirements analysis,

data modelling, DAX development, visualization design, deployment, and

optimization.

Build scalable data models (Star schema, Fact/Dimension structures) using best

practices.

Develop interactive dashboards, reports, and performanceoptimized datasets in

accordance with Evolution Mining's analytics standards.

Apply industry best practices in BI development, including naming

conventions, documentation, code reusability, dataset governance, and security

principles (RLS/OLS).

Integration & Advanced Analytics

Integrate Power BI with:

o Power Apps

o Power Automate

o Databricks (Delta tables / notebooks)

o Azure SQL / SQL Server

o Other enterprise data sources (SharePoint, APIs, Data Lake)

Develop Power BI solutions that trigger or are triggered by Power Apps and

Power Automate, enabling connected business workflows.

Collaborate closely with data engineers to consume curated data models,

pipelines, and Databricks datasets.

Solution Architecture & Design Review

Review and challenge proposed solution designs, ensuring alignment with BI

best practices, security, performance, and scalability.

Recommend improvements in architecture, data models, and integration

patterns.

Ensure that all designs follow Evolution Mining's data governance and platform

architecture standards.

Stakeholder Collaboration

Work directly with business stakeholders to understand reporting needs, KPIs,

and analytical objectives.

Translate business questions into intuitive visualizations and measurable

insights.

Communicate complex technical concepts in a simple, businessfriendly manner.

Participate in Agile ceremonies and collaborate with crossfunctional teams (data

engineers, Power Platform developers, SMEs).

Quality, Governance & Optimization

Implement rowlevel security, performance tuning, query folding, and data refresh

optimization.

Maintain documentation including semantic model descriptions, technical

specifications, and data dictionaries.

Ensure solutions meet SLAs, performance benchmarks, and usability

expectations.

Perform testing, validation, and troubleshooting across multiple data

environments.

Required Skills & Experience

8+ years hands-on experience with Power BI, including DAX, Power Query, M

language, data modelling, and visualization design.

Proven experience delivering complex Power BI dashboards in enterprise

environments.

Strong understanding of BI best practices, semantic modelling, performance

tuning, and enterprise data governance.

Experience integrating Power BI with:

o Power Apps

o Power Automate

o Azure SQL

o Databricks

o APIs or other cloud data sources

Ability to work independently and deliver highquality outputs with minimal

supervision.

Strong problem-solving and architectural thinking; able to challenge design

assumptions.

Experience in Agile / iterative delivery environments.

Excellent communication skills and proven client-facing experience.

Ability to collaborate with technical and non-technical stakeholders.

Nice-to-Have

Experience with Azure Data Factory, Data Lake, Synapse, or delta architecture.

Familiarity with Power Platform ALM and DevOps pipelines.

Experience building visuals with custom Power BI visuals or custom connectors.

Background in mining, engineering, or heavy industry analytics (preferred but not

required).

Microsoft certifications (PL300, DP500, or equivalent).

Qualifications

Bachelor's degree in Computer Science, Data Analytics, Information Systems,

Engineering, or equivalent experience.