Lead Configuration and Data Engineer

Leonardo
Southampton
3 weeks ago
Create job alert
Overview

Leonardo is hiring a Lead Configuration and Data Engineer within the Design Integrity function. You will oversee an expanding portfolio of world-class Mission Critical and Flight Safety Involved Systems deployed across Land, Sea and Air domains. You will support and oversee internal Integrated Product Teams (IPTs) across the Customer Support and Service Solutions (CS3) Line of Business (LoB). You will provide technical leadership for the configuration and data teams and define, implement and maintain the Configuration Management process across the full lifecycle of aerospace, civil and defence programmes. You will ensure all product baselines are defined in accordance with contractual, regulatory and company standards throughout the product lifecycle. This role is hybrid and can be based near one of the following sites: Bristol, Edinburgh, Luton, Southampton, Newcastle, Basildon or Lincoln.

Your responsibilities
  • Ensuring the integrity and traceability of all configuration items (CIs) across hardware, software, and documentation used across the LoB.
  • Identification, agreement, and control of Configuration Items in alignment with programme and regulatory requirements.
  • Approval and oversight of configuration management plans, including baselines, updates, and change implementation plans.
  • Ensuring compliance with the Five Pillars of Configuration Management and all relevant aerospace and defence standards.
  • Configuration Identification – defining, documenting, and controlling CIs, baselines (Functional, Allocated, Product, As-Built, As Maintained) and their relationships in PLM systems.
  • Configuration Control – managing changes via First Pass Filters (FPF), Configuration Control Boards (CCB), and Configuration Implementation Boards (CIB) to ensure structured, compliant change approval and embodiment.
  • Configuration Status Accounting (CSA) – capturing, maintaining, and reporting CI status, change records, and KPIs, providing actionable intelligence to the LoB.
  • Configuration Audits – planning and leading Functional and Physical Configuration Audits (FCA/PCA) and internal/supplier audits to verify conformity between design, production, and documentation.
  • Configuration Planning & Governance – establishing the Configuration Management Plan (CMP), managing team capacity, workload forward load, 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 the first-pass filter for proposed changes, ensuring they meet standards before progression 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 drive corrective actions.
  • 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 would be desirable.

This is not an exhaustive list; we welcome applicants who may not have experience in all areas. A good attitude and willingness to learn are highly regarded.

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 National Security Vetting (NSV) controls may apply, including eligibility for The Security Check (SC) or Developed Vetting (DV). For more information, please visit the Leonardo careers security and vetting page.

Why join us
  • Time to Recharge: generous leave with up to 12 additional flexi-days per year.
  • Secure your Future: pension scheme with up to 15% employer contribution.
  • Your Wellbeing Matters: mental health support, financial advice, and employee-led networks championing inclusion and diversity.
  • Rewarding Performance: bonus scheme for employees at management level and below.
  • Never Stop Learning: access to 4,000+ online courses via Coursera and LinkedIn Learning.
  • Refer a Friend: financial reward through our referral programme.
  • Tailored Perks: flexible benefits including private healthcare, dental, family cover, discounts, gym memberships, and more.
  • Flexible Working: hybrid options; part-time opportunities may be possible.
Location and other details

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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
  • Industries: Defense and Space Manufacturing, Aviation and Aerospace Component Manufacturing, and 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

Senior Configuration & Data Engineer — Hybrid CM Lead

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.