Data Installations Engineer

Stafford
2 months ago
Applications closed

Related Jobs

View all jobs

Data Cabling Engineer

IT Network Engineers (Copper & Fibre Install / Data Centre)

Software Engineer

Data Scientist Consultant

Data Analyst Utilities

Data Analyst

Data Installation Engineer / Data Cabling Engineer

£35,000-£45,000

Monday-Friday

Remote with International Travel- 50% Travel required in a month

(Can be based anywhere in the Uk Midlands preferred)

Benefits

  • Private Healthcare

  • Company Laptop, Credit card and phone

  • Pension up to 10% match

  • Extensive training and development opportunities

  • Per diem for travel expenses

  • Opportunity to work with cutting edge technology

    My Client who are a leading manufacturer within their field is seeking an experienced Data Installation Engineer to join their team. This role will suit an establish Data Installation Engineer seeking a new challenge it would also suit a Junior Installation Engineer looking to take their next steps as the company offers great development opportunities.

    This role will be to support their global team and will involve travel across Europe to support their manufacturing facilities. The Data Engineer will be supporting the installation, testing, and maintenance of data networks across various sites in Europe

    Data Installation Engineer Requirements:

  • Proven experience as a Data Installation Engineer or similar role

  • Experience with cotainment of data centres 

  • IPAF License (Desirable)

  • Experience of working with Socket sets and angle grinding equipment 

  • Knowledge of fibre optic cabling and Cat 6 installation, including splicing, termination, testing, and troubleshooting.

  • Ability to travel extensively across Europe without restrictions.

  • Strong analytical and problem-solving skills.

  • Excellent communication and interpersonal skills, with the ability to explain technical details to non-technical stakeholders.

  • Adept at working in a fast-paced, deadline-driven environment.

  • Fluency in English is required; additional European languages are a plus.

  • A valid driver's license and clean driving record.

    Data Installation Engineer Duties:

  • Travel across Europe to install, test, and maintain operational technology data networks, including but not limited to fibre optic cabling and Cat 6.

  • Ensure all installations meet industry standards and project specifications.

  • Conduct thorough testing and diagnostics to guarantee network performance and reliability.

  • Provide technical support and training to clients and end-users.

  • Collaborate with project managers and other team members to ensure timely and within-budget project completions.

  • Stay abreast of the latest industry trends, technologies, and best practices.

    Key Skills:

    Junior Data Installation Engineer, Data Cabling Engineer, Data Installation Engineer

    Please contact (url removed) for more information.

    Winsearch acts as an employment agency for permanent staff. We recruit for roles based in Engineering & Manufacturing, Food & Drinks, Pharmaceutical, Supply Chain & Procurement and Professional Services. View our latest jobs today on our website (url removed) and follow us on LinkedIn.

    ManH

    Our clients and their customers come from diverse backgrounds and so do we. We hire our people from various walks of life, each of whom make our company stronger with their talent, uniqueness, and expertise. This is what makes our company special; if you want to help us grow and take this ethos to our clients, then we cannot wait to collaborate with you!

    The UK has now left the European Union. Any EU, EEA or Swiss citizens living in the UK that wish to remain in the UK post Brexit need to apply to the EU Settlement Scheme. Although the closing date for applications was 30th Jun 2021, if you have not yet applied but believe that you would qualify under the EU Settlement Scheme, the Home Office have confirmed that they will consider late applications. For further information please see (url removed) />
    Many Thanks

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.