Pricing Data Engineer

As Pricing Data Engineer at Saga, you will shape how we price risk by building and maintaining data pipelines that feed pricing models and trading insights. You’ll collaborate with analysts, actuaries, and trading teams to turn raw data into actionable, trusted insights. This role offers hands-on data engineering in a live pricing environment, with scope to improve data quality and automation. You’ll work hybrid from Folkestone, contributing to data-driven decisions that support fair and profitable outcomes.

• 25 days holiday + bank holidays
• Pension scheme matched up to 10%
• Annual bonus up to 5%
• Life assurance policy 4x salary
• Wellbeing programme
• Saga Academy learning platform

• Process and maintain data pipelines ingesting data from internal systems and partner feeds ensuring completeness, timeliness, and accuracy
• Run quality checks, identify anomalies and support remediation
• Build and maintain SQL/Python transformations for pricing models, MI, and reporting
• Assist analysts with bespoke data extracts, exploratory analysis, and insight generation
• Diagnose data or system issues affecting pricing and coordinate with IT and partners to resolve root causes
• Create clear documentation for data processes, pipelines, and datasets
• Collaborate with Pricing, Trading, Product and Data Governance teams to align on data needs and standards
• Contribute ideas to improve data quality, automation, and efficiency across data workflows

• Proficiency in SQL
• Experience with Python for data manipulation (Pandas)
• Familiarity with data modelling concepts, schemas and structured datasets
• Ability to write queries, joins, filters, aggregations
• Comfortable exploring data, identifying patterns and anomalies
• Strong attention to detail and data accuracy
• Ability to explain data findings clearly to non-technical colleagues
• Willingness to learn and share knowledge with peers

• Attention to detail
• Clear communication
• Curiosity about how data shapes pricing
• SQL
• Python (Pandas)
• Data modelling concepts