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Netrolynx AI

Data Engineer

United Kingdom
£40k/yr
Posted about 11 hours ago
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About The Company

Newto Training is a leading provider of professional development and career transition programmes dedicated to equipping individuals with the skills necessary to thrive in today's digital economy. With a focus on practical, industry-relevant training, Newto Training partners with top employers and industry experts to deliver high-quality courses that align with current market demands. Committed to fostering inclusive learning environments, the company aims to bridge the skills gap by providing accessible pathways into high-growth sectors such as data analytics, cloud computing, and digital technology. Through innovative teaching methods, comprehensive support, and a strong network of industry connections, Newto Training empowers learners to achieve their career aspirations and secure sustainable employment opportunities.

About The Role

The Data Engineer Programme at Newto Training is designed for individuals aspiring to launch a career in data without prior experience. This self-funded programme offers a comprehensive pathway into the data industry, combining live instructor-led training, industry-recognised certifications, and practical project work. The role of a participant in this programme is to develop core technical skills in data analysis, cloud platforms, and programming languages, while also enhancing soft skills such as communication, problem-solving, and teamwork. Upon successful completion, participants are equipped with the necessary qualifications and industry experience to secure entry-level data roles, with a guaranteed job placement or a full refund of course fees. The programme is ideal for those seeking a career change, recent graduates, or professionals leaving the armed forces who are committed to learning and growth in the data sector.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It 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.

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Strong

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.

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Strong

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

  • No prior experience in data or IT is required to apply for this programme.
  • Strong motivation and willingness to learn new skills.
  • Good communication skills and a proactive attitude.
  • Basic proficiency in computer usage and familiarity with digital tools is advantageous but not mandatory.
  • Desire to pursue a career in data analysis, data engineering, or related fields.
  • Ability to commit to the programme’s schedule and coursework requirements.

Responsibilities

  • Participate actively in live online instructor-led training sessions, completing all coursework and assignments.
  • Engage in practical project work to develop hands-on skills in Excel, SQL, Python, and Power BI.
  • Obtain industry-recognised certifications, including Microsoft Power BI Data Analyst (PL-300), Microsoft Azure Data Fundamentals (DP-900), and Microsoft Azure AI Fundamentals (AI-901).
  • Collaborate with peers and instructors to enhance learning outcomes and problem-solving abilities.
  • Prepare and refine a professional CV with support from career services to improve employability.
  • Participate in interview preparation and career coaching sessions to develop job search strategies.
  • Leverage the employer network and recruitment partners to secure employment opportunities post-programme.
  • Maintain a positive attitude and demonstrate a commitment to continuous learning and professional growth.

Benefits

Participants in the Data Engineer Programme gain access to a range of valuable benefits designed to support their career transition and professional development. These include comprehensive live training delivered by industry experts, recognised certifications that enhance employability, and practical project experience that builds confidence and competence. The programme offers dedicated one-to-one tutor support, ensuring personalized guidance throughout the learning journey. Additionally, learners receive CV support, interview preparation, and career coaching to maximize their chances of securing a role in the data industry. Successful graduates are guaranteed a starting salary of up to £40,000, with many entering roles that offer long-term career progression. The programme also provides access to Newto Training’s extensive employer network, facilitating direct pathways into employment with reputable organisations. This holistic approach ensures participants are well-prepared and confident to meet industry demands.

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Equal Opportunity

Newto Training is committed to fostering an inclusive environment that values diversity and equal opportunity. We provide equal access to our programmes regardless of gender, race, ethnicity, age, disability, sexual orientation, or background. Our policies and practices are designed to promote fairness and support for all learners, ensuring everyone has the opportunity to succeed and develop their careers in the data industry. We believe that diverse perspectives and experiences enrich the learning environment and contribute to a more innovative and equitable workforce. We actively encourage applications from underrepresented groups and are dedicated to creating a supportive community where all individuals can thrive.

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Location

United Kingdom

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