Company logo

Admiral Money

Data Engineering Chapter Lead

Cardiff·Hybrid·2d ago

Salary

Competitive salary

Work type

Hybrid

Level

lead

Category

Data Leadership

About the role

About the job

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.

About us

Admiral Money is the dynamic lending arm of Admiral Group, offering personal loans, motor finance, and homeowner loans since 2017. We’re building something special for our customers and are looking for curious, driven individuals ready to learn, take on challenges, and make an impact.

We’re proud to be a certified Great Place to Work for over 25 years, with recognition for Women and Wellbeing. Our inclusive culture empowers everyone to Be You.

Need support during the recruitment process? Just let us know – we’re here to help.

Responsibilities

Leadership & Strategy

  • 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.

Technical Ownership

  • 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.

Collaboration & Delivery

  • 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.

People Leadership

  • Lead, mentor and develop a Chapter of analytics platform engineers and specialists.
  • Build an open, collaborative culture that fosters continuous improvement.

Skills & Experience

Essential

  • 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.

Desirable

  • Infrastructure‑as‑code (Terraform), Kubernetes, or Go/TypeScript experience.
  • Experience in regulated industries.
  • Familiarity with dbt, Airflow and event‑driven architectures.

Admiral: Where You Can

We take pride in being a diverse and inclusive business. It's a place where you can Be You, and show up as you are. We’re committed to fostering a people-first culture where everyone is accepted, supported, and empowered to be brilliant. You can, Grow And Progress at a pace and direction that suits you, Make A Difference for our customers and each other, and Share in Our Future with all colleagues eligible for up to £3,600 of free shares each year after one year of service.

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). You also have the option to buy or sell up to an additional five days of annual leave.

We’re proud of our people-first culture. In fact, we've been recognised as a Great Place to Work for Women, a Great Place to Work for Wellbeing, and an overall Great Place to Work for over 25 years! We’re fully committed to making sure your progression is not slowed or halted by barriers related to race, gender, age, sexuality or any of the protected characteristics.

Tech stack

AWSPythonSQLETLTerraformKubernetesdbtAirflowTypeScriptGo