Systems Engineer Broadoak(Portsmouth) or Cowes(Isle of White) Hybrid £45,000-£55,000Bonus My client a multinational defence organisation are looking for a Systems Engineer to join their team based in either Broadoak or Cowes. What youll be doing: Apply the systems engineering principles of ISO 15288 to support the design of systems through the entire engineering lifecycle from requirement definition to system integration and customer acceptance into system support and disposal Discern and decompose requirements to system and sub-system level and manage these in an approved toolset such as IBM DOORS Next Undertake system design decomposition and modelling to subsystem level, including associated external and internal interface definition, and manage architectural models in an approved toolset such as CATIA Magic (Cameo) Help to define and articulate acceptance strategies in order to verify requirement compliance at each appropriate level of system design, supporting production of customer acceptance evidence Assist with technical reviews and verification of engineering technical design and documentation in accordance with business, legislative and customer requirements Collect and analyse real-world system data to understand performance, reliability, and usage patterns, using analytical techniques and tools to drive evidence-based improvements and inform system design decisions Analyse large, complex datasets as part of system engineering tasks, applying statistical techniques, scripting, and visualization tools to identify trends, troubleshoot issues, and inform design and operational decisions Your skills and experiences: Degree qualified or equivalent, in a technology, engineering or science related discipline Understands engineering life cycle principles and approaches underpinning design and development activities and be capable of systems thinking, applying holistic approaches to complex problems Demonstrates understanding, knowledge and experience of Systems Engineering Ability to perform data analysis on large, complex datasets using statistical methods, scripting languages (e.g. MATLAB), and data visualization tools to extract insights and support system-level decision-making Hands-on experience with complex, real-world systems to collect, validate, and interpret operational data is desirable To apply for this role please send your CV to Peter Bibby on the email address below