What are you going to do li]:text-brunel-dark-grey [&_ul>li]:py-2 [&_p]:text-brunel-dark-grey [&_ul>li>ul>li]:pl-0 pl-4 description"> As a Senior Data Analytics Engineer, you will be focused on the ongoing engineering, support and project delivery of their portfolio of rail monitoring products.
You'll take ownership of complex technical requests, drive new product initiatives, and ensure systems remain at the forefront of railway technology.
Key Responsibilities Conceptualise, develop, test and implement new features in the data acquisition, analysis and processing and reporting software.
Lead technical discussions with potential and existing customers to extract user requirements and drive new product initiatives and product enhancements.
Critically review the integration of new technologies into our product portfolio.
Provide detailed engineering design reviews for software disciplines.
Handle customer technical requests and provide advanced troubleshooting on our deployed systems requiring a detailed understanding of our data processing pipelines and data science techniques Introduction li]:text-brunel-dark-grey [&_ul>li]:py-2 [&_p]:text-brunel-dark-grey [&_ul>li>ul>li]:pl-0 pl-4 introduction"> Brunel are proud to partner with an industry leader in rail and condition monitoring systems.
Their products are used in over 20 countries across 6 continents, providing crucial insights to freight, heavy haul, and passenger rail networks worldwide.
They drive innovation with a focus on efficiency & reliability.
Essential skills and knowledge li]:text-brunel-dark-grey [&_ul>li]:py-2 [&_p]:text-brunel-dark-grey [&_ul>li>ul>li]:pl-0 pl-4 jobrequirements"> Requirements: Bachelors in Computer Science, Electronics, Mathematics or equivalent proven experience in data Acquisition, analytics and signal processing Advanced MATLAB experience (4-6 years of practical application).
Preferably with knowledge of Simulink and Spectral Kurtosis tools.
In-depth understanding in sensor/technology selection, data acquisition systems, signal processing and statistical data analysis Desirable: Experience working with electromechanical and software systems Experience with AI/ML techniques and algorithm development Rail industry - asset condition monitoring, preventive and predictive maintenance knowledge Benefits: Salary sacrificing Employee Assistance Program (EAP) Corporate discounts