Principal Data Engineer

Posted 14 May by Provide
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About the company: My client is a global asset manager with a long successful history of helping clients worldwide achieve their financial goals. With offices across six continents and thousands of employees, they are always looking to adapt to technological changes to stay at the forefront of the industry

About the Role: As a Principal Data Engineer, you’ll play a pivotal role to help drive the adoption of Microsoft Power platform and streamline reporting and analytics processes across the organisation, we are looking for a Data Engineer with extensive multi-cloud data engineering experience and in-depth understanding of end-to-end development and deployment processes.

Whilst this is a data engineer role, the focus is on data analytics and migrating from Tableau to Power BI.

Experience/skills required:

  • Proficient in data analysis, data modelling and designing ETL processes.
  • Familiar with Data Mesh architecture and Data Products
  • Highly skilled in T-SQL with experience in performance tuning and dealing with large data volumes
  • Extensive experience of developing end-to-end reporting and analytics solutions. This includes Azure Synapse, Azure SQL Database, SSAS, Power Query / DAX, Power BI
  • Knowledge of Azure platform including Data Lakes, Data Warehouse, Azure Data Factory.
  • Experienced in and well-versed with the full Software Development Lifecycle, including the use of Azure Dev Ops, Visual Studio (SSDT) for continuous integration and deployment
  • Good understanding the differences in the approach for building self-service BI (business or IT managed) vs Corporate BI solutions including the choice of data sources and ETL approach
  • Familiar with engineering processes for developing APIs
  • Understanding the principles of building solutions using Snowflake, open-source frameworks, multi-cloud infrastructure

In Return:

A bonus scheme that pays up to 20%, and a benefits package that is one of the most comprehensive in today's market!

Required skills

  • Data Analysis
  • ETL
  • Snowflake
  • Tableau
  • Azure
  • Power BI

Reference: 52656152

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