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A vacancy has arisen within Admiral Money for a Data Engineering Chapter Lead within the Data & Analytics team. The Data Engineering Chapter Lead is responsible for defining, growing, and leading the Data Engineering discipline within Admiral Money. You will oversee a discipline, including Engineers focused on building, maintaining, and evolving the data ingestion patterns, pipelines and data contracts that delivers data to eventually power analytics, operational reporting, data science, and wider business decision‑making. The Data Engineering Chapter Lead owns the technical direction, standards and capability for all Data Engineering across Admiral Money. You will guide our engineering excellence, support cross-team delivery, develop our people, and ensure the data foundations are scalable, reliable and governed. As Chapter Lead, you will set engineering standards, coach engineers, shape platform architecture, and work closely with cross‑functional teams to ensure high quality engineering, consistent patterns and a culture of continuous improvement.
Job Responsibility:
Own the Data Engineering Chapter
the skills, standards, growth and ways of working
Define engineering best practices, coding standards and quality controls
Shape the future technical direction for data pipelines, architecture and ingestion patterns
Oversee the design of scalable, secure, reusable pipelines and data services
Review architectures and engineering approaches to ensure alignment with enterprise standards
Drive improvements to performance, reliability, quality, observability and resilience
Work closely with the whole Data & Analytics department and wider business teams
Support squads by unblocking technical challenges and providing expert guidance
Contribute to strategic decision making around data models, patterns and solution design
Lead, mentor and develop a Chapter of analytics platform engineers and specialists
Build an open, collaborative culture that fosters continuous improvement
Requirements:
Deep experience designing and building production‑grade data pipelines
Strong SQL and Python skills with hands‑on cloud experience (AWS preferred)
Experience leading or mentoring engineers in a team or Chapter model
Deep understanding of modern data architecture patterns (ELT, streaming, CDC)
Strong communicator who can influence technical and non‑technical stakeholders
Nice to have:
Infrastructure‑as‑code (Terraform), Kubernetes, or Go/TypeScript experience
Experience in regulated industries
Familiarity with dbt, Airflow and event‑driven architectures
What we offer:
Eligible for up to £3,600 of free shares each year after one year of service
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