At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world's leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer - SOX Algorithm to be based at our customer's site in Gaydon .
Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under the Automotive SPICE (ASPICE) process framework, including systems engineering, software engineering, coding, and all levels of functional testing. Beyond core development, ESS also integrates critical supporting processes such as project management, risk assessment, functional safety, and cybersecurity, ensuring compliance with ASPICE standards and delivering reliable, secure, and high-quality embedded systems & solutions.
The Role:
We're looking for a forward-thinking engineer to take the lead on SOX (Sarbanes-Oxley) compliance, algorithm validation, and advanced data analysis for next-generation battery management systems. You'll be part of a dynamic team driving innovation in energy storage technologies, ensuring functional integrity and regulatory alignment in algorithm development.
Area of Responsibility:
SOX Compliance & Controls
• Design, implement, and maintain control frameworks to ensure battery algorithm development aligns with SOX standards
• Collaborate with internal audit, finance, and engineering teams to support documentation and testing of controls
• Prepare detailed reports and presentations for SOX control assessments
Algorithm Development
• Work closely with cross-functional teams to design algorithms for battery state estimation, performance optimization, and degradation modeling
• Validate models using statistical methods and simulation tools to meet safety, efficiency, and reliability goals
Data Analysis & Insights
• Analyze high-resolution battery data from field units and test environments
• Build pipelines to process, visualize, and extract trends that inform algorithmic performance
• Apply machine learning techniques to enhance anomaly detection and predictive maintenance
Cross-functional Collaboration
• Interface with software, hardware, and compliance teams to drive integrated product development
• Participate in peer reviews and contribute to process improvement initiatives
Knowledge / Experience:
* Bachelor's or Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or related field
* Strong knowledge of SOX compliance and ITGCs (Information Technology General Controls)
* Proficient in Python, MATLAB, or similar for modeling and data analysis
* Experience in battery systems, embedded control algorithms, or energy storage technologies
* Familiarity with statistical validation techniques and machine learning concepts
Desirable:
* Hands-on experience with battery hardware, cell instrumentation, or BMS platforms
* Exposure to functional safety standards (ISO 26262, IEC 61508)
* Strong documentation and communication abilities
In return for bringing your expertise to our business we offer a competitive salary along with excellent benefits including:
• Pension Scheme - We match employee contribution up to 5% of salary
• 25 Days' Holiday
• Private Health Care
• Tata Jaguar Land Rover Privilege Scheme - up to 20% off new JLR vehicles
• Group Income Protection
• Health Assured - Employee Assistance Program
• Group Life Assurance
• Health Shield - Private Health Cash Plan
If you are passionate about bringing innovation to the projects you work on and want to join a global company, then this is the place for you.
Tata Technologies: Engineering a better world.
Tata Technologies would like to thank all applicants for their interest, each application will be reviewed against the set criteria for the role. We would like to advise that only candidates under consideration will be contacted. If you do not hear from us within 10 working days following the closing date it will mean that unfortunately your application has not been successful. We will however retain your details for any suitable future opportunities. #J-18808-Ljbffr