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 transition into high-demand technology careers. With a focus on practical skills, industry-recognised certifications, and comprehensive support, Newto Training aims to bridge the skills gap in the digital economy. The company prides itself on its innovative approach to education, combining expert-led online training with real-world project experience to ensure learners are job-ready upon programme completion. Committed to diversity and inclusion, Newto Training works closely with industry partners to offer opportunities to a wide range of aspiring professionals seeking to build sustainable careers in technology.
About The Role
The Data Engineer Programme at Newto Training is designed for individuals with little or no prior experience in data or technology fields who are eager to develop their skills and secure a position in the data industry. This self-funded career programme offers a comprehensive learning experience, including live instructor-led training, industry-recognised certifications, and practical project work. Upon successful completion, participants are guaranteed a job with a starting salary of up to £40,000. The programme emphasizes hands-on skills in SQL, Python, Power BI, and cloud platforms such as Microsoft Azure. It also provides extensive career support, including CV writing, interview preparation, and access to a network of employers and recruitment partners. This role is ideal for motivated individuals seeking a future-proof career in data analysis and engineering, regardless of their prior background or experience.
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
To be successful in this programme, candidates should possess a strong willingness to learn and a genuine interest in technology and problem-solving. Good communication skills are essential, as the programme involves active participation in live sessions and collaborative projects. While prior experience in data or IT is not required, candidates should demonstrate motivation, adaptability, and a proactive attitude towards career development. Educational backgrounds in any discipline are acceptable, provided there is a strong desire to pursue a career in data. The ability to commit to the programme’s schedule and complete the certification requirements is vital for success.
Responsibilities
- Complete over 100 hours of live instructor-led training delivered by industry professionals, covering core topics in data analysis, cloud fundamentals, and AI concepts.
- Develop practical skills through real-world projects involving Excel, SQL, Python, and Power BI to build a robust portfolio of work.
- Obtain three industry-recognised certifications: Microsoft Power BI Data Analyst (PL-300), Microsoft Azure Data Fundamentals (DP-900), and Microsoft Azure AI Fundamentals (AI-901), including exam vouchers and resit support.
- Engage with dedicated 1-to-1 tutor support to clarify concepts, receive feedback, and enhance learning outcomes.
- Participate in CV workshops, interview coaching, and career mentoring to prepare for the job market.
- Leverage access to Newto Training’s employer network and recruitment partners to identify job opportunities post-completion.
- Maintain commitment to programme requirements and actively pursue career placement support to secure employment within six months of graduation.


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Benefits
Participants in the Data Engineer Programme benefit from a comprehensive package designed to facilitate career transition and growth. These include guaranteed job placement upon successful completion, with a starting salary guarantee of up to £40,000. The programme offers extensive practical training, industry-recognised certifications, and personalized career coaching. Learners gain valuable hands-on experience working on real-world projects, enhancing their employability. Additionally, the programme’s flexible online format allows participants to learn at their own pace while balancing personal commitments. The cost of the programme is approximately £190 per month, making it an accessible investment in your future. Successful graduates will also join a vibrant community of aspiring data professionals, gaining ongoing access to industry networks and employment opportunities.
Equal Opportunity
Newto Training is committed to fostering an inclusive environment and providing equal opportunities for all applicants regardless of race, gender, age, disability, or background. We believe that diversity enriches our community and enhances the learning experience. Our recruitment and training practices are designed to promote fairness and accessibility, ensuring that everyone has the opportunity to succeed in their chosen career in data. We welcome applicants from all walks of life and are dedicated to supporting individuals in achieving their professional goals through our inclusive programmes.
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