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Agile and Forecasting Engineer

Jonathan Lee Recruitment
Posted a day ago, valid for 7 days
Location

Warwick, Warwickshire CV35 0HA, England

Salary

£39,982 - £27.1 per hour

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Agile and Forecasting Engineer position offers an umbrella rate of £27.10 per hour.
  • Candidates are expected to have experience with Agile tools and methods, along with operational cadence across an enterprise.
  • The role involves creating forecasting models for EE/EV labs and collaborating with various stakeholders to understand testing requirements.
  • A Project Management Qualification and additional training in Scrum or Kanban are preferred for applicants.
  • This position is located in Gaydon and is crucial for maintaining the company's reputation for excellence in the automotive industry.

Agile and Forecasting Engineer - 39982 - £27.10/hr umbrella rate

Embark on an exhilarating journey with a pioneering automotive entity renowned for its dedication to innovation and quality. This role as an Agile and Forecasting Engineer offers a unique opportunity to contribute to groundbreaking projects, ensuring the future of automotive excellence. Situated at the cutting edge of engineering operations, this position promises not only professional growth but also the chance to be part of a team shaping the future of mobility.

What You Will Do:

- Create forecasting models based on programme content and scalability linked to testing requirements in EE/EV labs.

- Engage with customers, programme teams, and key stakeholders to understand testing requirements and assist with enquiries into Engineering Laboratories.

- Support the delivery of operational cadence to manage EE/EV lab deliverables using Agile toolsets (JIRA/Confluence).

- Develop a robust and standardized forecasting model for EE/EV labs that ensures accurate testing profiles for each laboratory.

- Facilitate the use of JLR enterprise Agile methods within EE/EV labs.

- Assist in the management of EE/EV labs ABR/QBR requirements and cadence linked to strategic themes and deliverables.

What You Will Bring:

- Experience with Agile tools and methods, and operational cadence across an enterprise.

- Proficiency in using Atlassian toolsets for Agile operations (JIRA/Confluence).

- Knowledge of automotive systems and associated test facilities.

- A Project Management Qualification, with additional training in Scrum or Kanban and JIRA.

- The ability to work collaboratively with stakeholders and technical areas across Engineering.

This role is instrumental in ensuring that the company's test laboratories are forecasting and planning effectively, directly impacting the success and efficiency of engineering operations. By joining this team, you will play a pivotal role in maintaining the company's reputation for excellence and innovation in the automotive industry.

Location:  The position is based in Gaydon, offering a vibrant work environment at the heart of automotive innovation.

Interested?: If you're ready to take the next step in your career with a role that offers challenge, innovation, and the opportunity to make a significant impact, apply now to become an Agile and Forecasting Engineer. Let's drive the future together.

This role is Inside IR35.

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.