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- Tasks: Join our team as a Data Engineer, focusing on splicing and fibre testing.
- Company: LRL is a dynamic company known for its innovative approach in the tech industry.
- Benefits: Enjoy a competitive rate of £17.21 per hour and a permanent contract.
- Why this job: Be part of a fast-paced environment where your skills make a real impact.
- Qualifications: Experience in data engineering and fibre testing is essential.
- Other info: Work Monday to Thursday, with early finishes to enjoy your evenings!
Location: Wigan
Rate: £17.21 per hour
Hours: 39 hours per week
Working Pattern: Monday to Thursday, 6:30 AM - 4:45 PM
Contract Type: Permanent
Overview:
LRL are currently recruiting for an experienced Data Engineer to join a busy and fast-paced team. This role will involve splicing and fibre testing on-site, contributing to the installation and commissioning of projects.
Data Engineer employer: Linkit Recruitment Limited
Contact Detail:
Linkit Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the latest tools and technologies used in data engineering, especially those related to fibre testing and splicing. This knowledge will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data engineering sector, particularly those who have experience in fibre optics. Attend industry events or join online forums to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios, especially those related to fibre testing. Being able to discuss your problem-solving approach will set you apart from other candidates.
✨Tip Number 4
Showcase any relevant projects or experiences that highlight your skills in data engineering and fibre optics. Whether it's a personal project or previous work experience, having concrete examples will help you stand out during the interview process.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific responsibilities and requirements for the Data Engineer position. Highlight key skills such as splicing and fibre testing that are essential for the role.
Tailor Your CV: Customise your CV to reflect your experience and skills relevant to data engineering, particularly in splicing and fibre testing. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your relevant experience. Mention specific projects or achievements that demonstrate your expertise in fibre testing and installation.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Linkit Recruitment Limited
✨Know Your Technical Skills
Make sure you can confidently discuss your experience with data engineering, particularly in splicing and fibre testing. Be prepared to provide specific examples of projects you've worked on and the technologies you've used.
✨Understand the Company
Research LRL and their operations. Familiarise yourself with their projects and values, as this will help you tailor your answers and show that you're genuinely interested in the role.
✨Prepare for Practical Questions
Expect technical questions or scenarios related to data engineering. Brush up on your problem-solving skills and be ready to demonstrate how you would approach real-world challenges in the role.
✨Show Your Team Spirit
Since you'll be joining a busy team, highlight your ability to work collaboratively. Share examples of how you've successfully worked with others in past roles, especially in fast-paced environments.
