Validation & Verification engineer - Fleet Data Analytics & Validation

ppResponsible for developing and implementing a data-driven fleet monitoring and validation process, leveraging vehicle operational data to support engineering decision-making, system behavior assessment, reliability growth and validation effectiveness. /ppThe role is responsible for transforming fleet operational data into actionable engineering insights through the definition of monitoring strategies, data analytics methodologies, mission-based validation approaches and dashboard solutions supporting validation, reliability and engineering activities. /ppWorking closely with System Validation Engineers and cross-functional engineering teams, the position will define the parameters to be monitored, establish engineering thresholds and performance limits, develop analytical methodologies, and identify vehicle mission profiles that are representative or particularly severe for specific systems and failure modes. /ppA key objective of the role is to improve the correlation between vehicle validation activities and real-world customer usage by identifying, quantifying and characterizing operating conditions that can accelerate failure mode validation, increase validation representativeness and support reliability growth activities. /ph3DIMENSIONS /h3pSingle contributor, monitoring of approx. 500-800x different vehicles on fleet /ph3ESSENTIAL RESPONSIBILITIES /h3h3Fleet Data Management Monitoring /h3ulliWork closely with System Validation Engineers to identify the relevant vehicle, system and component parameters to be monitored through fleet operational data. /liliSupport the definition of engineering limits, threshold values, warning levels and monitoring criteria required to assess system behavior under real operating conditions. /liliDefine signal requirements, data collection strategies and data quality criteria for fleet monitoring activities. /liliDevelop and maintain automatic data post-processing methodologies, including plausibility checks, event creation, statistical analysis, filtering and data quality validation. /li /ulh3Dashboard Architecture Data Analytics /h3ulliDefine dashboard architecture, analytical frameworks, KPIs and visualization strategies required to support engineering and validation activities. /liliDevelop, maintain and continuously improve fleet monitoring dashboards and analytical solutions using bQlik Sense /b and other analytical platforms. /liliTranslate engineering and validation requirements into data models, calculations, automated monitoring rules and visualization requirements. /liliCollaborate with ICT and data platform teams to define data processing, storage and reporting architectures supporting fleet analytics. /li /ulh3Mission-Based Validation Reliability Growth /h3ulliAnalyze fleet operational data to identify mission profiles that generate elevated stress on specific systems, components or vehicle functions. /liliIdentify operating conditions and usage patterns capable of accelerating the validation of known or potential failure modes. /liliDevelop methodologies to quantify mission severity, system exposure and operational profiles based on real fleet data. /liliIdentify equivalent or accelerated mission profiles capable of reproducing critical operating conditions associated with degradation mechanisms or failure modes in reduced time. /liliCorrelate customer usage profiles, field exposure and validation test conditions to improve validation effectiveness and representativeness. /li /ulh3JOB SPECIFICATION /h3h3Communication /h3ulliThe position acts as a bridge between engineering teams and data/analytics platforms, ensuring that fleet operational data is converted into meaningful engineering information supporting validation, reliability growth and product development activities. /liliThe role requires the ability to communicate complex technical findings through dashboards, reports and presentations to both technical and non-technical audiences /li /ulh3REQUIREMENTS /h3ulliBachelor's or Master's Degree in Engineering, Data Science, Computer Science, or a related technical field. /liliStrong experience (minimum 5 years) in data analytics, dashboard development and KPI definition, preferably using bQlik Sense /b. /liliKnowledge of SQL, Python (or equivalent scripting languages), data modelling, ETL processes and database concepts. /liliUnderstanding of vehicle systems, telematics, CAN data, datalogging and engineering validation processes. /liliAbility to identify mission profiles, system stress conditions and field operating scenarios to support validation and reliability activities. /li /ulh3SALARY RANGE /h3p € /ppVariable payment as per CCSL /ppThe successful candidate's placement in the range and final offer will be determined by their experience, skills, qualifications and internal equity considerations. /ppStarting from recruitment, management of people is based on legitimate business considerations only, such as experience, knowledge, skills, education, performance, potential, and the Company's core values. /ppThe Company is committed to acting impartially to eliminate any form of direct or indirect discrimination or undue preference, while supporting and nurturing a culture based on mutual respect and on valuing differences to foster and promote the expression of everyone's potential: this is both due to its people and in the interest of its own progress. /p /p #J-18808-Ljbffr