At a Glance
- Tasks: Build AI solutions that enhance productivity and decision-making across the business.
- Company: Join Currys, the UK's leading tech retailer with a passion for amazing technology.
- Benefits: Hybrid working, ongoing training, and opportunities for career growth.
- Other info: Collaborative culture focused on inclusion and diversity.
- Why this job: Be a change agent in a fast-paced environment and make a real impact.
- Qualifications: Experience in Python, APIs, and a genuine interest in AI and ML.
The predicted salary is between 30000 - 40000 £ per year.
At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
Currys is in the middle of one of the most ambitious AI and automation shifts in UK retail. We are rethinking how customers discover and buy technology, how stores operate, how supply chains move, and how colleagues do their best work. We’re reshaping how the business trades, plans and serves. The AI & Monetisation function is where the boldest bets get placed. The squad you join is greenfield, built around a real business domain, and backed by senior sponsorship. You will own that domain end to end, set the roadmap with the stakeholders who run it, and ship products that move the numbers in the P&L.
These problems are genuinely hard: optimising stock availability, automating complex operating processes, putting useful AI into the hands of frontline colleagues, and monetising the audience and data we already have. You will be a change agent in a business moving fast and willing to back people who can move with it.
Role overview
All the amazing things you'll do:
- Build AI solutions and agents that improve productivity and decision‑making across the business.
- Create and iterate on prototypes using modern LLM and agent frameworks.
- Help take AI features into production, working with senior engineers to meet reliability and security needs.
- Contribute to data preparation and feature engineering for AI use cases.
- Write clean, well‑tested code that follows Currys engineering standards.
- Monitor AI solutions in production, tracking quality, performance and cost.
- Troubleshoot issues and improve implementations based on feedback and metrics.
- Document your work clearly so solutions can be supported and scaled by the wider team.
- Learn continuously and bring new ideas, tools and techniques to the team.
All the things you'll bring:
- Strong engineering foundations with real experience delivering working solutions in a team.
- Comfortable with Python and the ability to write code that others can understand and maintain.
- Practical knowledge of APIs, services and development practices like version control, code reviews and testing.
- Evidence you've already started building with AI - through personal projects, a starter role, or experimenting with tools like Codex or Cursor.
- Understanding of basic ML and AI concepts like prompting, evaluation, embeddings and how models work.
- Intellectual curiosity and problem‑solving instincts that drive you to figure things out.
- A genuine desire to learn fast and grow your skills in applied AI and agentic tooling.
- The ability to work collaboratively in an agile environment with product teams and multiple stakeholders.
- Exposure to Databricks, Azure AI services or similar cloud AI platforms beneficial.
- Experience with agent frameworks, RAG patterns or orchestration tools beneficial.
- Knowledge of data platforms like SQL or Spark and how AI integrates with them beneficial.
The essentials:
- Engineering experience in software, data or ML with real‑world delivery in a team setting.
- Working proficiency in Python and writing production‑quality code.
- Familiarity with APIs, services and modern development practices like version control and testing.
- Early evidence of AI or LLM work through personal projects, a starter AI role, or building tools using Codex, Cursor, OpenAI APIs or similar.
- Degree in Computer Science, Engineering, AI/ML, or equivalent experience.
Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on‑going training and skills for life. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet. Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce.
We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we'll do our best to help.
Data Engineer employer: Currys Ltd
At Currys, we pride ourselves on being a leading tech retailer that fosters a collaborative and inclusive work environment. As a Data Engineer in our Waterloo office, you'll be part of an innovative team driving the future of AI and automation in retail, with ample opportunities for professional growth and development. We offer hybrid working arrangements, ongoing training, and a commitment to sustainability, making Currys not just a workplace, but a community where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Currys on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you've worked on AI projects, create a portfolio showcasing your work. Whether it's GitHub repos or personal projects, having tangible evidence of your abilities can really impress hiring managers.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and data engineering concepts. Be ready to discuss your past projects and how you tackled challenges. Practising common interview questions can help you feel more confident!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Currys team. Let's get you that Data Engineer position!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and technology shine through. Share any personal projects or experiences that highlight your journey in this field. We love seeing candidates who are genuinely excited about what they do!
Be Clear and Concise:Make sure your application is easy to read and straight to the point. Use clear language and avoid jargon where possible. We appreciate well-structured applications that get to the heart of your skills and experiences without unnecessary fluff.
Tailor Your Application:Take a moment to customise your application for the Data Engineer role. Highlight relevant experiences and skills that align with the job description. We want to see how you fit into our team and how you can contribute to our exciting projects!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Currys Ltd
✨Know Your Tech
Make sure you brush up on your knowledge of Python and any relevant AI tools or frameworks. Be ready to discuss your past projects, especially those involving AI or machine learning, as this will show your hands-on experience and passion for the field.
✨Understand the Business
Familiarise yourself with Currys' mission and the specific challenges they face in the AI and automation space. This will help you tailor your answers to demonstrate how your skills can directly contribute to their goals, like optimising stock availability or improving decision-making.
✨Show Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in previous roles or projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your intellectual curiosity and ability to learn quickly.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team dynamics, the technologies they use, or future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.