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Staff Engineer - Data

Job in Cardiff, Cardiff City Area, CF10, Wales, UK
Listing for: Admiral Group Plc
Full Time position
Listed on 2026-01-07
Job specializations:
  • Engineering
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

The Staff Engineer provides technical leadership across the Value Stream and Capabilities, supporting architectural alignment, engineering best practices, and scalable delivery.

They collaborate closely with the Principal Engineer, Delivery Lead, Lead Product Owner, and Solution/Enterprise Architects to shape the technical roadmap, oversee the quality of engineering outputs, and support delivery of complex initiatives aligned to target architecture and engineering strategy.

As a champion of engineering excellence, the Staff Engineer drives the adoption of modern design patterns, cloud-native approaches, and continuous improvement initiatives, contributing to Admiral’s long-term technology goals. They also play a key role in mentoring and coaching engineers, supporting capability growth and ensuring consistency in practices across squads.

Main Duties Leadership
  • 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.
Implementation & Delivery
  • 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.
Collaboration & Communication
  • 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.
Experience Required

Technical Expertise

  • 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.
  • Programming

    Languages:

    Expert level in languages like Python or Java, often using them to build complex data processing workflows and applications.
  • Cloud Platforms:
    Be proficient in one or more major cloud platforms preferably Google Cloud Platform (GCP) or Microsoft Azure.
  • Data Warehousing and Databases: A deep understanding of both relational databases (SQL) and No

    SQL databases. Expert in data modelling, schema design, and optimizing database performance. Know how to design and manage data warehouses for efficient analytics.
  • ETL/ELT and Data Orchestration:
    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.
  • Real-time Data Processing:
    Skilled in streaming data technologies to handle real-time data ingestion and processing like Data Stream 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…
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