Azure Data Engineer

1 month ago


Eastern England, United Kingdom InterQuest Group Full time

Role – Azure Data Engineer

Locations – Reading or Harrogate or York – (Hybrid, 3 days a week from home)

Salary - £70K


The Azure Data Engineer will have a background working in large organisations on enterprise platforms.


Skills and experience


  • Technical knowledge of Azure Data Platform, including, but not limited to;
  • Azure Data Lake
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Data Factory
  • Good level of knowledge on Power BI
  • Good understanding on Microsoft reference architectures and when they should be used.
  • Working knowledge of Data Platform Design
  • Able to articulate and demonstrate the capabilities of Microsoft Azure Data Platform with regards to how


Data & Analytics can provide solutions to business problems.


  • Ability to articulate business benefits of Data & Analytics to client stakeholders.
  • Knowledge of Dynamics 365 ERP – data model knowledge a significant benefit
  • Knowledge of Dynamics 365 CRM – data model knowledge a significant benefit
  • Understanding of Azure data integration technologies
  • Knowledge of Modern Workplace
  • Working knowledge of Azure DevOps


They will also preferably have the following skills, attributes and experience:

  • 3+ Years in Data & Analytics
  • Experience of Agile delivery methods
  • Experience of mentoring junior staff
  • Deployment of Azure solutions using Azure DevOps CI/CD pipelines
  • Data integration from source systems using Azure Data Factory and SQL Server Integration Services
  • Data analysis, modelling, cleansing and enrichment.
  • Using Power BI for data visualization and self-service Bl
  • Experience of large-scale ERP and/or CRM implementations
  • Experience of working with remote teams
  • Proficiency in SQL and Python
  • Analyse current business practices, processes and procedures and identify future opportunities for leveraging Microsoft Azure data & analytics PaaS services
  • Good understanding of Data Governance, including Master Data Management (MDM) and Data Quality tools and processes


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