Data Engineer
Posted 1 day ago by Hays DT - Midlands
£650 Per day
Undetermined
Undetermined
Birmingham, UK
Summary: The Data Engineer role involves designing and developing ETL pipeline processes, assisting in the creation of data analysis and reporting systems, and maintaining the data platform. The position requires extensive experience with Azure Synapse Analytics, Azure Data Factory, and the Microsoft Business Intelligence stack. The engineer will also analyze datasets to generate insights and ensure compliance with data licensing and GDPR. This role is crucial for enhancing data accessibility and quality within the organization.
Key Responsibilities:
- 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.
- Analyse various datasets, seeking to correlate and integrate these with other secondary and primary data sources to generate insight.
- 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 licensing and GDPR compliance.
- Respond efficiently to requests for intelligence from colleagues, partners and stakeholders as appropriate.
Key Skills:
- 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.).
Salary (Rate): £650.0 per day
City: Birmingham
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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 (eg FME, Python, DAX, JavaScript etc) to extract, transform and manage data.
- Extensive experience using the Microsoft Business Intelligence stack eg Power Platform, SQL Server, SSAS, SSRS etc
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