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For Companies At a Glance
- Tasks: Build scalable data pipelines and develop AI models with cutting-edge technologies.
- Company: Join a forward-thinking team dedicated to nurturing diverse talent.
- Benefits: Structured training, mentoring, and hands-on experience in data and AI.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Work on transformative projects and make a real impact in tech.
- Qualifications: Must be 18+, with 2 GCSEs in Maths (grades A-C).
The predicted salary is between 18000 - 25000 £ per year.
Build and maintain scalable data pipelines using Snowflake and Databricks.
Manage and optimise data platforms for performance and reliability.
Develop modular ETL workflows and orchestrate data processes.
Write efficient PySpark code, including UDFs and Pandas UDFs.
Ensure high data quality and collaborate across teams to deliver impactful data solutions.
What We Are Looking For
- Exposure through studies, placements, personal projects, or research related to data engineering.
- Curiosity, problem‑solving skills, and a willingness to learn and grow.
- A collaborative mindset and confidence to develop your voice in technical discussions.
Development
- Work closely with experienced engineers and contribute to cross‑team projects.
- Learn how to integrate AI and data solutions into scalable products.
- Apply best practices and take part in architectural decision‑making.
- Receive mentoring and support to help you identify opportunities for innovation.
AI Engineer
Design, develop, and optimise transformer‑based models (GPT, LLaMA, Mistral, Claude).
Fine‑tune large language models for real‑world, domain‑specific applications.
Implement advanced prompt engineering and RAG techniques.
Build intelligent agents using LangChain, LlamaIndex, CrewAI, AutoGen.
Work with leading cloud platforms such as Microsoft Azure, AWS, and Google Cloud.
What We Are Looking For
- Exposure through studies, placements, personal projects, or research in AI, machine learning, or software development.
- Passion for AI innovation, creative thinking, and practical problem‑solving.
- Enthusiasm for collaborating with others and learning new technologies.
Development
- Partner with cross‑functional teams to deliver AI‑powered solutions.
- Learn how to bring AI capabilities into scalable products.
- Contribute to technical decisions and best‑practice engineering.
- Gain hands‑on experience through training, mentoring, and real project work.
Why join us?
- Work on transformative projects across multiple industry sectors.
- Develop your skills through structured training, mentoring, and guided learning.
- Build practical experience in data engineering, AI, and cloud technologies.
- Thrive in an inclusive, supportive, and forward‑thinking team committed to nurturing diverse academic talent.
Entry Requirements
- Must be 18 years old or over.
- 2 GCSE's at grades A-C (9-4) in Maths.
51576240 DXC Academic Programme â Modern Apprenticeship in Data & AI employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 51576240 DXC Academic Programme â Modern Apprenticeship in Data & AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry through LinkedIn or local meetups. Don’t be shy; ask questions and show genuine interest in their work!
✨Tip Number 2
Prepare for interviews by practising common questions related to data engineering and AI. Use mock interviews with friends or mentors to build your confidence and refine your answers.
✨Tip Number 3
Showcase your projects! Whether it’s a personal project or something from your studies, have a portfolio ready that highlights your skills in data pipelines and AI solutions.
✨Tip Number 4
Apply through our website! We love seeing candidates who are proactive. Tailor your application to highlight your curiosity and collaborative mindset, and let us know how you can contribute to our team.
We think you need these skills to ace 51576240 DXC Academic Programme â Modern Apprenticeship in Data & AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your relevant experiences, whether from studies or personal projects, that align with data engineering or AI. We want to see how you fit into our world!
Show Your Passion: Let your enthusiasm shine through! Talk about your curiosity for data and AI, and any cool projects you've worked on. We love seeing candidates who are genuinely excited about the field and eager to learn.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive your details directly. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at hackajob
✨Know Your Tech
Make sure you brush up on the technologies mentioned in the job description, like Snowflake, Databricks, and PySpark. Being able to discuss how you've used these tools in your studies or projects will show your genuine interest and readiness for the role.
✨Show Your Curiosity
During the interview, don’t hesitate to ask questions about the company’s data processes or AI projects. This not only demonstrates your curiosity but also your eagerness to learn and grow within the team.
✨Collaborate and Communicate
Highlight any experiences where you worked in teams or contributed to group projects. Emphasising your collaborative mindset will resonate well, as the role requires working closely with experienced engineers and cross-functional teams.
✨Prepare for Problem-Solving
Be ready to tackle some technical questions or case studies during the interview. Practising how to approach problem-solving scenarios will help you articulate your thought process clearly, showcasing your analytical skills.