Senior Data Engineer

An exciting opportunity has arisen to join a well established organisation in the insurance space, in a challenging Data Engineer role.

There will be a lot of stakeholder engagement, so the ideal candidate will have both hands on and business facing experience. Preferably in the insurance sector.

Key responsibilities:

• Design Data Lake and Data Warehouse solutions.
• Design Data Models using Data Vault and Dimensional modelling methods
• Implement automated, reusable and efficient batch data pipelines and streaming data pipelines
• Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised
• Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI

Key skills required:

• Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows.
• Strong knowledge of Power BI
• Strong SQL experience.
• Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems.
• Extensive knowledge of ETL tools essential for building data pipelines effectively.
• Strong experience with cloud platforms like AWS, Azure, or Google Cloud
• The ability to build collaborative relationships with stakeholders from across the organisation, working together to deliver business-driven solutions.
• Solid Experience in the Insurance Industry

This is a great opportunity for a well rounded, end to end Data Engineer, who would like to take real ownership of a project and be a trusted subject matter expert.

The hybrid working model will be 4 days per week in the London office with the 5th day worked remotely.

If you are interested please apply for full details.