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NatWest Group

Lead Data Engineer

NatWest Group

. Lead the technical delivery of a data engineering team .

Posted 11/10/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading data engineering teams, driving software engineering best practices, and ensuring high-quality technical delivery. Proficient in mentoring developers and implementing scalable, high-performance applications using established methodologies.

Highest-signal resume keywords
Data EngineeringTechnical Direction SettingMentoring DevelopersSQL DevelopmentPython Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DesignDatabase DesignTest-Driven DevelopmentAutomated TestingMicro-Services DevelopmentSOA DevelopmentProgramming Best PracticesHigh-Volume Application DevelopmentTechnical DocumentationSoftware Delivery Lifecycle
Soft Skills
Stakeholder CommunicationTeam LeadershipProblem SolvingCollaboration
Tools & Technologies
GitAutomated Test Frameworks
Industry Keywords
Software Engineering PrinciplesScalabilityAvailabilityPerformanceAI-Based Development

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead the technical delivery of a data engineering team
  • Lead solution design options and explain pros and cons to key stakeholders
  • Mentor a team of developers and set the technical direction of deliveries
  • Apply software engineering principles and methodologies to technical design, development, testing and maintenance of applications and services
  • Take responsibility for the work quality of the data engineering team and ensure technical standards are met
  • Implement a culture of concise and comprehensive technical documentation
  • Monitor technical progress against plans while safeguarding functionality, scalability and performance
  • Provide updates to stakeholders
  • Support and mentor the team in relevant software languages and technical domains
  • Drive adoption of software engineering principles, processes and best practices
  • Liaise with engineers, architects, business analysts and other stakeholders
  • Design and develop high-volume, high-performance and high-availability applications
  • Drive adoption of AI-based development across the team

Requirements

What you’ll need
  • Background in data engineering, software design, database design and architecture
  • Experience setting technical direction and mentoring a team of developers
  • Experience of test-driven development and automated test frameworks, mocking, stubbing and unit testing tools
  • Knowledge of key phases of the software delivery lifecycle and established software development methodologies
  • Ability to develop software in an SOA and micro-services paradigm
  • Development experience in SQL and Python
  • Experience using industry recognised frameworks and development tooling, including git
  • Background implementing programming best practice, especially around scalability, availability and performance
  • Experience working in an environment where products must be delivered to specific timescales

Benefits

Comp & perks
  • Work from home some of the time
  • Hybrid working arrangement