Netrolynx AI
Data Engineer

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About The Company
Newto Training is a leading provider of professional development programmes dedicated to empowering individuals to achieve their career goals in the technology and data sectors. With a focus on practical skills, industry recognition, and comprehensive support, Newto Training has established itself as a trusted partner for career changers, recent graduates, and professionals seeking to upskill. Our mission is to bridge the gap between education and employment by offering innovative, accessible, and results-driven training solutions designed to meet the evolving needs of employers and learners alike.
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 is designed to equip participants with the essential skills, certifications, and practical experience needed to launch a successful career in data analysis and engineering. Upon successful completion, participants are guaranteed a job placement with a starting salary of up to £40,000, supported by our extensive employer network and recruitment partners. The role involves engaging with live instructor-led training, hands-on project work, and ongoing career support to ensure participants are well-prepared for the demands of the industry. This programme is ideal for those seeking a career change, recent graduates, or individuals leaving the Armed Forces who are passionate about technology, problem-solving, 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 do not need prior experience in data or IT fields to join this programme. The key qualities we look for include a willingness to learn, strong communication skills, and a genuine interest in technology and data. A basic understanding of computers and a proactive attitude towards acquiring new skills are beneficial. Candidates should be motivated to complete the certifications and practical projects, and committed to engaging fully with the training process. The programme is suitable for recent school, college, or university leavers, career changers, and those transitioning from other industries or sectors such as the Armed Forces. No specific academic qualifications are required, but a strong desire to develop a career in data is essential.
Responsibilities
Participants in the Data Engineer Programme will undertake a comprehensive curriculum that includes live instructor-led training, practical project work, and certification preparation. Responsibilities include:
- Actively participating in over 100 hours of online training delivered by industry professionals
- Completing 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 hands-on skills in tools like Excel, SQL, Python, and PowerBI
- Engaging with practical projects that simulate real-world data scenarios, demonstrating their ability to analyse, interpret, and visualise data effectively
- Receiving tailored CV support, interview coaching, and career guidance to assist in securing employment
- Maintaining a proactive attitude, completing assignments on time, and participating in all training sessions


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Benefits
Successful participants will gain access to a wide range of benefits designed to facilitate their career transition and growth. These include:
- Industry-recognised certifications with exam vouchers and resit support
- Practical experience through real-world projects
- Dedicated one-to-one tutor support throughout the programme
- High-quality instruction and mentorship from experienced professionals
- CV workshops, interview preparation, and personalised career coaching
- Guaranteed a job offer within six months, with starting salaries up to £40,000, supported by our extensive employer network
- Flexible payment options, costing approximately £190 per month
Equal Opportunity
Newto Training is committed to fostering an inclusive environment and providing equal opportunities for all applicants and participants. We celebrate diversity and do not discriminate based on race, gender, age, disability, sexual orientation, religion, or any other protected characteristic. Our recruitment and training practices are designed to promote fairness and accessibility, ensuring that everyone has the opportunity to succeed and advance in their careers. We believe that diverse perspectives and experiences enrich our programmes and contribute to a more innovative and equitable industry.
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