Azure Data Engineer - Azure Data Bricks, Azure Data Factory (ADF), Purview, Azure Event Hubs, Messaging, API’s, Medallion Architecture, Delta Tables, Delta Live Tables, Data Wrangling, Agile Methodology - Remote (Midlands) - £55-75k + benefits
An experienced Azure Data Engineer is urgently required to take responsibility for helping to define and implement my client’s data strategy and for the design, build and implementation of a new Enterprise data platform. The role is a key appointment and viewed as transformational for this highly-successful solution provider with an enviable customer base and an impressive portfolio of products.
Benefits
The successful candidate would benefit from:
* Hybrid Working Pattern (once per month in the office)
* Extensive office breakout area where relaxation is encouraged (interactive games, bar games, coffee machines etc)
* 25 days’ holiday
* Pension scheme 5% matched
* Life Assurance/ Death-in-Service Scheme
Azure Data Engineer Role and Responsibilities:
* Work collaboratively with Architects to define, architect and implement an Enterprise data platform.
* Build, test and maintain a series of complex data platform pipelines.
* Assume full responsibility for Azure Data Engineering including ingestion, transformation, translation, cleansing and publishing.
* Play a key role in data modelling, data management and data governance.
* Lead the organisation through the adoption and implementation of data platform initiatives to enable data-led business decisions.
Azure Data Engineer Skills and Experience:
* Experience of having led a successful enterprise data platform strategy and implementation programme “from scratch”.
* In-depth experience of Azure Data Factory for designing, implementing and maintaining data pipelines.
* Detailed knowledge of data platform technologies including Delta Lake/ Medallion Architecture.
* Strong experience of Azure Data Bricks including knowledge of Delta Live Tables and Microsoft Purview for data governance.
* Solid knowledge of the “data wrangling” operations within data platforms including reconciliations/ # totals, PII data, confirm dimensions etc.
My client’s product suite comprises a series of heavily data-centric solutions and the aim of the business is to employ AI and Machine Learning as the foundation of a series of data-led business decisions. Any experience of working with or implementing AI or Machine Learning in a software products environment would be ideal.
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