Netrolynx AI
Data Engineer

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About The Company
Newto Training is a leading provider of professional development programmes designed to equip individuals with the skills needed to thrive in today's digital economy. Committed to fostering career growth and industry readiness, Newto Training offers innovative, self-funded training solutions tailored to meet the evolving needs of the job market. With a focus on practical learning and industry-recognised certifications, the company strives to bridge the gap between education and employment, ensuring learners are well-prepared for successful careers in technology and data analytics.
About The Role
The Data Engineer Programme at Newto Training is an intensive, self-funded career development initiative aimed at individuals with little or no prior experience in data. This programme provides comprehensive training, certification, and guaranteed employment support upon successful completion. It is designed to help participants transition into the data industry by developing core technical skills in SQL, Python, Power BI, and cloud platforms such as Microsoft Azure. The role involves engaging in real-world project work, acquiring industry-recognised certifications, and receiving dedicated career support to facilitate a smooth entry into the data analytics and engineering sectors. Successful candidates will be equipped to secure roles with starting salaries of up to £40,000, making this an excellent opportunity for those seeking a future-proof career in a high-demand industry.
Qualifications
Ideal candidates for this programme possess a strong willingness to learn and a genuine interest in technology and problem-solving. While prior experience in data or IT is not required, applicants should demonstrate good communication skills, motivation, and a proactive attitude towards career development. The programme is suitable for recent school, college, or university leavers, individuals seeking a career change, those currently working in other industries, or military personnel transitioning to civilian roles. Basic computer literacy and a passion for data-driven decision-making are advantageous. The primary requirement is a commitment to completing the training and engaging actively in the learning process.
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.
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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.
Responsibilities
Participants in the Data Engineer Programme will undertake a variety of responsibilities aimed at building their technical and professional skills. These include:
- Attending live instructor-led online training sessions
- Completing practical project work
- Preparing for industry-recognised certifications such as Microsoft Power BI Data Analyst (PL-300), Microsoft Azure Data Fundamentals (DP-900), and Microsoft Azure AI Fundamentals (AI-901)
- Developing proficiency in SQL, Python, Excel, and PowerBI, applying these skills to real-world scenarios
- Engaging with their dedicated tutors
- Participating in CV workshops, interview preparation, and career coaching sessions
- Networking with potential employers and recruitment partners, enhancing their employment prospects
Upon completion, graduates will be supported in their job search, with the guarantee of a job offer within six months if all programme requirements are met.


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Benefits
Participants in the programme will benefit from:
- Extensive industry-focused training
- Recognised certifications
- Practical project experience that enhances employability
- Over 100 hours of live instructor-led sessions
- Personalised 1-to-1 tutor support
- Comprehensive career services including CV assistance and interview coaching
- Access to Newto Training’s employer network, increasing their chances of securing meaningful employment in the data sector
- A job guarantee providing peace of mind, ensuring that if participants meet the agreed support criteria and do not receive a job offer within six months of completion, their course fees will be refunded in full
- Salaries up to £40,000, reflecting the high demand and value of data skills in the current job market
Equal Opportunity
Newto Training is committed to fostering an inclusive and diverse environment. We believe that talent and potential are found across all backgrounds and are dedicated to providing equal opportunities for all applicants. Our programmes are designed to be accessible to individuals regardless of gender, ethnicity, age, disability, or socio-economic status. We actively promote diversity and inclusion in our hiring practices, ensuring that everyone has the chance to develop their skills and succeed in their chosen careers. We welcome applicants from all walks of life who are eager to learn and grow within the data industry.
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