Staff Engineer - Data

• Provide technical leadership and guidance to engineers across the Value Stream
• Mentor engineers within your area of expertise to support their technical growth
• Support the Principal Engineer and senior leadership team with technical risk management, strategy, and decision-making
• Help shape epics and technical deliverables in alignment with roadmap goals
• Own technical dependencies and contribute to planning cycles including Quarterly Alignment, Monthly Value Stream Planning, and Sprint Planning
• Contribute to the detailed design, engineering quality, and technical oversight of solutions delivered within the Value Stream
• Ensure all technical solutions follow architecture governance and align with Admiral’s engineering strategy
• Drive improvements to CI/CD pipelines, automation, testing practices, and secure delivery
• Lead on resolving technical constraints, blockers, and integration challenges
• Identify and address technical debt, ensuring sustainability and maintainability
• Oversee vulnerability management by promoting secure development practices and robust solution design
• Identify and implement continuous improvements to delivery and engineering processes
• Facilitate clear communication across squads and roles to ensure alignment and knowledge transfer
• Promote engineering values such as transparency, quality, openness, and productivity
• Collaborate with key technical stakeholders including Architecture, Information Security, Data Governance, and Heads of Capabilities
• Contribute to communities of practice, Chapter and Guild forums, and internal initiatives

• Proven experience in a Senior or Staff Engineer role, ideally within data teams
• Strong background in CI/CD practices, automated testing, and optimised deployment strategies
• In-depth knowledge of testing frameworks and strategies across unit, integration, E2E, and non-functional domains
• Experience with containerisation and infrastructure tools such as Docker, Kubernetes and Terraform
• Expert level in languages like Python or Java, often using them to build complex data processing workflows and applications
• Proficient in one or more major cloud platforms preferably Google Cloud Platform (GCP) or Microsoft Azure
• A deep understanding of both relational databases (SQL) and NoSQL databases
• Expert in data modelling, schema design, and optimizing database performance
• Know how to design and manage data warehouses for efficient analytics
• Design, build, and maintain complex Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines
• Proficient with orchestration tools like Apache Airflow to automate and monitor these workflows
• Skilled in streaming data technologies to handle real-time data ingestion and processing like DataStream or Cloud Pub/Sub
• Comprehensive knowledge and experience with design, development and testing of data pipelines and Kimball data warehouse models
• Knowledge and experience in Scrum development practices, using associated tools for testing and continuous integration & deployment
• Knowledge and experience of DBT and reporting tools such as Looker or Strategy
• Experience and knowledge of implementing and maintaining data architectures like Medallion or Lakehouse

Awareness or experience with Guidewire Software products (e.g. PolicyCenter, BillingCenter)

• Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
• Option to buy or sell up to an additional five days of annual leave
• Eligible for up to £3,600 of free shares each year after one year of service
• Financial & Mortgage Advice
• 24-Hour Ecare
• Cycle to Work Scheme
• Annual Holiday Allowance
• Flexible Working
• Simply Health
• Private Health Cover
• Critical Illness Cover