2 of 2 Remote Risk Management Jobs in Northamptonshire

seeking aSenior Systems Engineerto play a key role in delivering high-end systems across three core capability areas: Secure Tactical Datalinksfor critical communications Spectrum Monitoring Systemsfor RF analysis and management Battlespace Technologiesincluding COMINT, HF Direction Finding, C-UAS, and C-RCIED systems This is atechnically hands-on yet strategically involvedposition working across the full product lifecycle from bids to … delivery. Key Responsibilities Systems Architecture & Strategy: Systems architecture definition and high-level design Requirements capture, analysis, and management Translate customer requirements into technical solutions Interface definition and system performance analysis Technical Leadership: Lead and guide multidisciplinary engineering teams Maintain technical vision across complex projects Support bid processes and customer technical discussions Cross-functional collaboration and stakeholder management Product … Development: Work across full development lifecycle System verification and validation activities Technical documentation and specification development Design reviews and technical risk management Essential Requirements 5+ years systems engineering experience(7+ preferred) Strong background insystems architectureandrequirements capture Experience withfull development lifecyclemanagement Ability totranslate high-level requirements into system architecture Technical leadershipof multidisciplinary teams Someknowledge of RF systemsessential British citizenshipor More ❯

Service) Location: Northampton - Hybrid/2-3 days Per week in Office Proven experience as a Data Architect within banking or financial services, leading large-scale programmes. Strong stakeholder management and communication skills, with the ability to influence at senior levels. Deep knowledge of ETL, MI/BI, data warehousing, data modelling, and data governance. Proficiency with technologies such … as Ab Initio, SQL, RDBMS, Hadoop, and data modelling tools. Experience with Agile and Waterfall methodologies, as well as project planning and risk management. Exposure to machine learning concepts and their integration into data platforms. Familiarity with cloud-native data architectures (e.g., AWS, Azure, GCP). K ey Skills: Data Architect/ETL/AWS/Teradata/Informatica More ❯