Azure Data Engineer With Power BI Experience - Remote

Azure Data Engineer With Power BI Experience - Remote

Posted 1 day ago by The Dignify Solutions, LLC

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Negotiable
Undetermined
Remote
Remote
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Application Programming Interface (API) Azure Data Factory Change Data Capture (CDC) Data Governance Data Ingestion Data Integration Data Lakes Data Mart Data Warehousing Dimensional Modeling Executive Leadership Key Performance Indicators (KPIs) Microsoft Azure Power BI Query Performance RESTful API SQL (Programming Language) Workflows

Summary: The Azure Data Engineer role focuses on designing and implementing scalable ETL/ELT pipelines using Azure Data Factory, alongside developing high-performance Power BI dashboards and analytical reports. The position requires expertise in data integration frameworks, data governance, and advanced SQL development. The role is remote, catering to professionals with a strong background in Azure data platforms and Power BI. Candidates should be prepared to manage complex data architectures and optimize data pipelines for enterprise-level reporting.

Key Responsibilities:

  • Design and implement scalable ETL/ELT pipelines using Azure Data Factory.
  • Build automated data ingestion pipelines from multiple enterprise systems, APIs, and data lakes.
  • Implement incremental loads, CDC frameworks, and automated data orchestration workflows.
  • Develop reusable data integration frameworks to standardize ingestion patterns.
  • Develop high-performance Power BI dashboards and analytical reports for business and executive leadership.
  • Build complex DAX calculations, measures, and KPIs.
  • Manage Power BI Service workspace architecture and deployment pipelines.
  • Implement Power BI data governance and best practices.
  • Design enterprise data warehouse and data mart architectures.
  • Implement dimensional modeling (Star/Snowflake schema).
  • Develop advanced SQL queries, stored procedures, and functions.

Key Skills:

  • Power BI Desktop development
  • Power BI Service administration
  • Advanced DAX development
  • Power BI data modeling
  • Dataset optimization
  • Power BI gateways
  • Power BI deployment pipelines
  • Power BI REST API integration
  • Azure Data Factory pipeline development
  • Data orchestration and scheduling
  • Azure Data Lake
  • Azure Synapse
  • Azure Storage
  • Advanced SQL and T-SQL
  • Stored procedures and functions
  • Query optimization
  • Data warehousing design

Salary (Rate): £50 hourly

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Key Responsibilities

  • Design and implement scalable ETL/ELT pipelines using Azure Data Factory.
  • Build automated data ingestion pipelines from multiple enterprise systems, APIs, and data lakes.
  • Implement incremental loads, CDC frameworks, and automated data orchestration workflows.
  • Develop reusable data integration frameworks to standardize ingestion patterns.
  • Develop high-performance Power BI dashboards and analytical reports for business and executive leadership.
  • Build complex DAX calculations, measures, and KPIs.
  • Manage Power BI Service workspace architecture and deployment pipelines.
  • Implement Power BI data governance and best practices.
  • Design enterprise data warehouse and data mart architectures.
  • Implement dimensional modeling (Star/Snowflake schema).
  • Develop advanced SQL queries, stored procedures, and functions.

Azure Data Platform Development

  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure SQL Database
  • Azure Synapse Analytics
  • Azure DevOps
  • Monitor and optimize data pipelines and Power BI datasets.
  • Ensure high-performance reporting for large enterprise datasets.
  • Troubleshoot Power BI refresh failures and query performance issues.

Required Technical Skills

  • Power BI Desktop development
  • Power BI Service administration
  • Advanced DAX development
  • Power BI data modeling
  • Dataset optimization
  • Power BI gateways
  • Power BI deployment pipelines
  • Power BI REST API integration
  • Azure Data Factory pipeline development
  • Data orchestration and scheduling
  • Azure Data Lake
  • Azure Synapse
  • Azure Storage
  • Advanced SQL and T-SQL
  • Stored procedures and functions
  • Query optimization
  • Data warehousing design

Preferred Experience

  • Experience building enterprise BI platforms serving 500+ users
  • Experience with Power BI governance frameworks
  • Experience integrating Power BI with Azure Synapse or Databricks
  • Experience building self-service BI platforms
  • Microsoft Power BI Data Analyst (PL-300)
  • Microsoft Azure Data Engineer (DP-203)
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