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- Tasks: Join a dynamic team to support project planning and forecasting in cutting-edge automotive labs.
- Company: Be part of an innovative company leading the charge in electric vehicle technology.
- Benefits: Enjoy competitive pay, flexible working hours, and the chance to work with advanced Agile tools.
- Why this job: Make a real impact in the EV sector while developing your skills in a collaborative environment.
- Qualifications: Experience with Agile tools like JIRA/Confluence and knowledge of automotive systems is essential.
- Other info: This role is contract-based and inside IR35; UK work eligibility required.
The predicted salary is between 55000 - 77000 £ per year.
Location: Gaydon, Warwickshire
Rate: £26.65ph via an Umbrella Company (Inside IR35) or £20.35ph PAYE
Employment Type: Contract (31.3.26)
Hours: Standard 40 Hours Per Week
Reference: J39982
As the Agile & Forecasting Engineer you will support the Lead Agile and Forecasting Engineer in planning, monitoring, supporting, and closing out projects within the test laboratory. You will support the forecasting and quantifying of programme workload associated with the laboratory with short-medium and long-term forecasts.
Key accountabilities and responsibilities:
- Support the development of a robust and standardised forecasting model for EE/EV labs that is compatible across BTO.
- Use PDL inputs to understand programme feature content.
- Support the creation of a forecasting model based upon programme content and scalability linked to testing requirements in EE/EV labs.
- Ensure EE/EV labs are using our client's enterprise Agile methods.
- Support the creation of a JIRA Portfolio Plan for EE/EV labs linked to E and EO strategic themes and deliverables.
- Support the delivery of an operational cadence to ensure EE/EV lab deliverables are managed via Agile toolsets (JIRA/Confluence) and Tasks and Impediments are progressed as required across our client's Enterprise.
- Support the management of EE/EV labs ABR/QBR requirements and cadence linked to EO/E strategic themes.
- Be part of a small dynamic team.
Skills Required:
- Experience of Agile tools and methods and operational cadence across our client's enterprise.
- Knowledge of Programme feature content and gateway timings.
Experience Required:
- Experience using Atlassian toolsets for Agile operations (JIRA/Confluence).
- Knowledge of PCDS process.
- Ability to work with key Stakeholders and technical areas across Engineering to understand feature linkage to test requirements.
- Knowledge of Automotive Systems and associated test facilities.
Experience Preferred:
- Project Management Qualification.
- Scrum or Kanban training as well as JIRA training.
This role is INSIDE IR35.
Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Agile & Forecasting Engineer employer: Caresoft Global Ltd
Contact Detail:
Caresoft Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agile & Forecasting Engineer
✨Tip Number 1
Familiarise yourself with Agile methodologies and tools, especially JIRA and Confluence. Being able to demonstrate your hands-on experience with these platforms during discussions can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the automotive industry, particularly those who work with EE/EV labs. Engaging in conversations about current trends and challenges can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented forecasting models or Agile processes in previous roles. Real-world applications of your skills will resonate well with interviewers.
✨Tip Number 4
Stay updated on the latest developments in automotive systems and testing facilities. Showing that you're knowledgeable about the industry can demonstrate your commitment and passion for the role.
We think you need these skills to ace Agile & Forecasting Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Agile tools and methods, particularly your familiarity with JIRA and Confluence. Emphasise any project management qualifications or training in Scrum or Kanban.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Agile & Forecasting Engineer role. Mention specific skills that align with the job description, such as your ability to create forecasting models and work with stakeholders.
Showcase Relevant Experience: When detailing your work history, focus on experiences that demonstrate your knowledge of automotive systems and test facilities. Provide examples of how you've successfully managed projects or contributed to Agile operations.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for the role.
How to prepare for a job interview at Caresoft Global Ltd
✨Understand Agile Methodologies
Make sure you have a solid grasp of Agile methodologies, especially how they apply to project management. Be prepared to discuss your experience with Agile tools like JIRA and Confluence, as well as how you've used them in past projects.
✨Showcase Your Forecasting Skills
Since the role involves creating forecasting models, be ready to explain your approach to developing robust forecasting tools. Discuss any relevant experience you have in quantifying workload and how you ensure accuracy in your forecasts.
✨Familiarise Yourself with Automotive Systems
Given the focus on EE/EV labs, it’s crucial to demonstrate your knowledge of automotive systems and testing facilities. Brush up on relevant terminology and processes to show that you understand the industry context.
✨Prepare for Stakeholder Engagement Scenarios
The role requires working with key stakeholders, so think of examples where you've successfully engaged with different teams. Be ready to discuss how you’ve navigated challenges and ensured alignment between technical areas and testing requirements.
