Data Engineer

• Data Engineer. Analytics.
• Insurance. International.

International Insurance company.

• To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected output.


• To be responsible for the development and maintenance of automated, repeatable processes for integrating data and providing it to business analytics users in an appropriate format.


• Working with architects and developers, provide technical input into matching the best technology to the use case and develop an ongoing process.


• To work closely within a cross functional team to scope, develop, articulate progress and results including business case to progress further. (End to end Technical to business use).


• Work with SMEs to analyze the data.


• Work with architect to develop process for production use cases.


• Actively championing analytics across all areas and levels of the business.


• Working on all aspects of the project as needed by the overall team.


• To be responsible for maintaining standards around the use and access to data, ensuring adherence to internal and external regulatory factors.

• Work Life - Balance


• International and Multicultural Environment


• Professional Growth Opportunities


• Compensation and Benefits Package

• Data manipulation and extraction tools.


• Knowledge and understanding of the tools and processes to ensure data security, quality and accuracy.


• Knowledge and capability of Microsoft Azure toolset.


• Significant Knowledge and capability of market leading BI and analytics tools / processes outputs etc.


• Proven experience of detailed data analysis and manipulation.


• Knowledge in PySpark


• Proven experience and knowledge of and can demonstrate use of best practice data management and in particular data administration.


• Experience of working in a busy environment whilst maintaining a high degree of accuracy at all times and meeting tight deadlines.


• Experience gained to proactively build and maintain relationships both externally and with customers throughout the company.


• Proven experience of leading data centric or technical projects.


• Proven experience in mentoring or managing technical teams in the use of technical software, design, modelling and information management.