As a Data Engineer, you will be responsible for the following:
* Design and develop Extract, Transform and Load (ETL) pipeline processes to automate access to source data, quality check and increase usage.
* Assist with the development of new data analysis and reporting systems.
* Develop Dimensional Data Models using various frameworks.
* To analyse various datasets, seeking to correlate and integrate these with other secondary and primary data sources in order to generate insight.
* To identify and obtain key data sets that will add enhanced insight
* Assist in the development and maintenance of the data platform, tools and data library
* Model, map and document data and processes from source through to utilisation within business processes.
* Assist with the operation and maintenance of data portals to enable data access for users whilst supporting data licencing and GDPR compliance.
* Respond efficiently to requests for intelligence from colleagues, partners and stakeholders as appropriate.
You will need experience of:
- Extensive working experience using Azure Synapse Analytics and Azure Data Factory
- Programming and scripting experience (e.g. FME, Python, DAX, JavaScript etc) to extract, transform and manage data.
- Extensive experience using the Microsoft business intelligence stack e.g. Power Platform, SQL Server, SSAS, SSRS etc
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