Data Engineer

Engagement Type: Implementation

Description: The Data Engineer will work closely with the Data Team supporting the design and implementing the local data strategy whilst provide pivotal support to the Corporate Reporting Developers.

The role will require close collaboration with Business and IT stakeholders at all levels to ensure the data strategy is implemented, adds value to the business and provides the required in depth analytics needed to support business decisions.

Minimum Years Experience: 5 Years

5 Key Skills Required:

– Proven experience with data storage technologies such as datalakes and data warehouses.
– Advanced working SQL knowledge and experience working with relational databases, query authoring SQL as well as working familiarity with a variety of databases.
– Experience building and optimizing ‘big data’ architectures and data sets.
– Understanding of architecture and design concepts for data exploitation solutions, such as Business Objects and Power BI.
– Experience with Azure Databricks would be beneficial.

5 Areas of Responsibility:

– Build and support the maintenance of the data solutions and information specified in the data framework.
– Assemble large, complex data sets that meet functional/non-functional business requirements.
– Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
– Working closely with providing guidance/best practice knowledge to the Business Analysts and BI Developers.
– Work with the data architect and remain up to date with industry standards and technologies to strive for greater functionality in our data systems.

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