Lead Configuration and Data Engineer

Leonardo
Newcastle upon Tyne
4 days ago
Create job alert

Lead Configuration and Data Engineer – Leonardo – Newcastle, England, United Kingdom (Hybrid, Permanent)


Job Description

Our Design Integrity function is currently recruiting for a Lead Configuration and Data Engineer. The role oversees an expanding portfolio of world‑class Mission Critical and Flight Safety‑involved systems deployed across Land, Sea and Air domains. The incumbent supports and oversees the internal Integrated Product Teams (IPTs) across the Customer Support and Service Solutions (CS3) Line of Business, provides technical leadership for configuration and data teams, and defines, implements and maintains the Configuration Management process across the full lifecycle of aerospace, civil and defence programmes. All product baselines are required to be defined in accordance with contractual, regulatory and company standards throughout the product lifecycle. The role is hybrid and can be based near any of the following sites: Bristol, Edinburgh, Luton, Southampton, Newcastle, Basildon or Lincoln.


Your Responsibilities

  • Ensure integrity and traceability of all configuration items (CIs) across hardware, software and documentation used across the LoB.
  • Identify, agree and control Configuration Items in alignment with programme and regulatory requirements.
  • Approve and oversee configuration management plans, including baselines, updates and change implementation plans.
  • Ensure compliance with the Five Pillars of Configuration Management and all relevant aerospace and defence standards.
  • Define, document and control CIs, baselines (Functional, Allocated, Product, As‑Built, As‑Maintained) and their relationships in PLM systems.
  • Manage changes via First Pass Filters (FPF), Configuration Control Boards (CCB) and Configuration Implementation Boards (CIB) to ensure structured, compliant change approval and embodiment.
  • Capture, maintain and report CI status, change records and KPIs, providing actionable intelligence to the Line of Business.
  • Plan and lead Functional Configuration Audits (FCA), Physical Configuration Audits (PCA) and internal/supplier audits to verify conformity between design, production and documentation.
  • Establish the Configuration Management Plan (CMP) and manage team capacity, workload, training and KPI performance to ensure CM governance aligns with programme and contractual obligations.

What You’ll Bring

  • Lead the evaluation, classification and management of Class I and Class II changes, ensuring appropriate review, approval and traceability.
  • Chair first‑pass filter for all proposed changes, ensuring they meet standards before progressing to formal review.
  • Chair or actively participate in Configuration Implementation Boards (CIB) and Change Control Boards (CCB), providing technical guidance and ensuring informed decisions.
  • Assess the impact of proposed changes across design, production, operations, supply chain and security.
  • Lead internal audits of configuration and change control processes and ensure findings are addressed and corrective actions implemented.
  • Manage supplier configuration audits and assessments to ensure compliance with configuration standards and contractual obligations.
  • Act as the point of escalation for supplier‑related configuration issues and drive resolution.
  • Good working knowledge of Teamcenter Unified is desirable.

Security Clearance

This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, including eligibility for The Security Check (SC) or Developed Vetting (DV). For more information and guidance, please visit https://careers.uk.leonardo.com/gb/en/security-and-vetting.


Why Join Us

  • Time to Recharge – generous leave with the opportunity to accrue up to 12 additional flexi‑days each year.
  • Secure Your Future – award‑winning pension scheme with up to 15% employer contribution.
  • Your Wellbeing Matters – free access to mental health support, financial advice and employee‑led networks championing inclusion and diversity.
  • Rewarding Performance – bonus scheme for all employees at management level and below.
  • Never Stop Learning – free access to 4,000+ online courses via Coursera and LinkedIn Learning.
  • Refer a Friend – financial reward through our referral programme.
  • Tailored Perks – spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
  • Flexible Working – flexible hours with hybrid working options. Part‑time opportunities can be discussed for this role.

Locations

Primary Location: GB – Luton – Cap. Green 300


Additional Locations: GB – Basildon, GB – Bristol Building, GB – Edinburgh, GB – Lincoln, GB – Newcastle, GB – Southampton


Contract Type

Permanent


Hybrid Working

Hybrid


Job Function and Industries

Information Technology – Defense and Space Manufacturing, Aviation and Aerospace Component Manufacturing, Computer and Network Security


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Configuration and Data Engineer

Lead Configuration and Data Engineer

Lead Configuration and Data Engineer

Lead Configuration and Data Engineer

Lead Aerospace Configuration & Data Engineer

Aerospace Configuration Lead & Data Engineer — Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.