Senior Full Stack Developer - Gaydon, United Kingdom - Jaguar Land Rover

Description

Gaydon - Hybrid

We're re-examining our vehicles and what a vehicle means in the emerging world of automation, connectedness, electrification and the shared economy. New ideas, new technology, and new approaches to mobility are our business. Join a team of next generation thinkers.

WHAT TO EXPECT

JLR currently have an exciting new opportunity for an experienced Full-Stack Developer to join their Data Analytics, Prognostics & Toolset Team which sit within the Powertrain area of their ever-evolving business.

The Data Analytics, Prognostics & Toolset Team is responsible for supporting the Propulsion Calibration & Controls department with the development of propulsion calibration, simulation toolsets, processes and procedures for streamlining calibration development, data analytics and improving working relationships with suppliers.

The team is leading cloud-based calibration activities internally and externally with major suppliers through the use of Python and SQL based toolsets - with interactions between ETAS INCA, AVL CRETA, Python, JavaScript and the Google Cloud Platform.

The ability to future proof the software using a forward-thinking approach and understanding the companywide vision is essential to maintaining/improving the current toolsets whilst developing new features & functions for a constantly changing environment.

Key Accountabilities and Responsibilities

Taking a lead role in developing cloud-based and desktop toolsets to import, visualize, check and improve the calibration and engineering process.

Develop systems to allow communication between different company software, such as ETAS INCA, AVL CRETA, cloud databases, in-house developed software/toolsets & cloud-based architectures.

Manage the reporting of calibration, vehicle log and diagnostic data against targets/rulesets to create standardised reports that establish a robust image of the calibration quality.

Leading the conversion of desktop-based Matlab toolsets into desktop & cloud-based Python toolsets in-line with company/data analytics best practice to improve speed and quality of data processing.

WHAT YOU'LL NEED

Essential:

Software development experience – full-stack developer with experience in python and a front-end framework such as Angular or React.

Experience with cloud computing - preferably in Google Cloud or AWS.

An interest in process improvement - analysing existing processes and using software and automation to deliver efficiency and quality enhancements.

Knowledge of the CI/CD processes in software development as well as SQL, MySQL, and database administration.

Experience in the automotive sector – powertrain calibration or a different product engineering area.