Data Engineer

Overview

In this Data Engineer role, you will design and build scalable data solutions topower smarter decisions and unlock insights for a leading UK insurer. You will own end-to-end data pipelines and data models, aligning with platform standards while delivering high-quality, governed data products. You’ll collaborate across locations and hybrid work setups, mentoring others and driving data observability. This is an opportunity to shape data capabilities that underpin business decisions and customer value.

Pay / Benefits

• flexible hybrid working
• remote working with quarterly in-person collaboration
• opportunity to grow and develop
• collaborative culture
• supportive environment
• impactful data work

Responsibilities

• Design and build end-to-end data pipelines from diverse sources
• Cleansing, mapping, transforming, and optimizing data for storage and use cases
• Incorporate data observability and quality by design, with self-testing pipelines
• Create data lake storage, data warehouse, and BI/analytics data structures
• Develop physical data models optimized for business needs and reuse
• Perform unit testing and peer testing of code
• Maintain documentation and adhere to standards, architecture, and release processes
• Coach and mentor Associate data engineers
• Develop BI solutions (data mart, semantic layer, reporting/visualisation in Power BI)

Key requirements

• 2-5 years designing and building end-to-end data solutions
• SQL Server and/or Azure (Data Factory, Synapse) with ETL tooling
• Experience with large, event-based datasets in enterprise environments
• Testing techniques and tools
• Excellent communication and rapport-building abilities
• Active interest in data and external networks; ability to drive value from data
• Understanding of the full data lifecycle
• Experience with CI/CD and agile environments
• Self-managing and collaborative team player
• collaborative
• creative problem solving
• proactive and optimistic mindset
• PySpark
• Python
• SQL

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