Netrolynx AI
Data Engineer

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About The Company
Newto Training is a reputable provider of professional development programs dedicated to equipping individuals with the skills and certifications needed to excel in today's competitive job market. With a focus on practical, industry-relevant training, Newto Training collaborates with leading employers and industry experts to deliver comprehensive courses that bridge the gap between education and employment. Our mission is to empower aspiring professionals through innovative learning solutions, ensuring they are well-prepared to meet the demands of their chosen careers. Committed to fostering diversity and inclusion, Newto Training strives to create accessible pathways for individuals seeking to enhance their employability and achieve their career goals.
About The Role
The Data Engineer Programme is an intensive, self-funded career development initiative designed for individuals with little or no prior experience in data or technology. This program offers a unique opportunity to gain industry-recognized certifications, hands-on project experience, and professional support, culminating in a guaranteed job placement or a full refund of course fees. Participants will engage in over 100 hours of live instructor-led online training delivered by seasoned industry professionals, covering essential topics such as SQL, Python, Power BI, and cloud fundamentals. The program aims to prepare learners for roles as data analysts and engineers, with a starting salary guarantee of up to £40,000 upon successful completion. This program is ideal for career changers, recent graduates, military personnel transitioning to civilian roles, or anyone passionate about technology and data-driven decision-making.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
Applicants should possess a strong desire to learn and a genuine interest in data and technology. While prior experience in the field is not required, candidates should demonstrate good communication skills, problem-solving abilities, and a proactive attitude toward professional development. A basic understanding of computers and familiarity with software applications can be beneficial but is not mandatory. The program is suitable for individuals from diverse backgrounds, including recent school or university leavers, career changers, and military personnel transitioning to civilian roles. Commitment to completing the coursework and engaging actively with the training sessions is essential for success.
Responsibilities
Participants in the Data Engineer Programme will be responsible for actively engaging in all aspects of the training, including attending live sessions, completing assignments, and participating in practical projects. They will develop foundational skills in data analysis, SQL, Python programming, and cloud services such as Microsoft Azure. Learners will work on real-world projects that simulate industry scenarios, helping to build a portfolio of work that demonstrates their capabilities to potential employers. Additionally, participants will utilize career support services, including CV writing, interview preparation, and career coaching, to enhance their employability. Upon completion of the program, individuals are expected to leverage their new skills and certifications to secure entry-level data roles, with ongoing support from our employer network and recruitment partners.


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Benefits
Participants will benefit from comprehensive training delivered by experienced professionals, industry-recognized certifications, and practical project experience to build confidence and competence. The program offers personalized 1-to-1 tutor support, ensuring learners receive tailored guidance throughout their journey. Career services such as CV support, interview coaching, and job placement assistance are integral components of the program, designed to maximize employment outcomes. The guarantee of a job offer within six months of successful completion, coupled with a salary guarantee of up to £40,000, underscores the program’s commitment to your career success. Additionally, learners gain access to a network of employers and recruitment partners, providing valuable connections and opportunities in the data industry.
Equal Opportunity
Newto Training is committed to fostering an inclusive and diverse environment. We believe that talent and potential are found in individuals from all backgrounds, and we actively promote equal opportunity in all aspects of our programs and employment practices. We do not discriminate on the basis of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. Our goal is to provide accessible pathways to employment for everyone interested in developing a career in data and technology, ensuring a fair and equitable experience for all participants.
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